Add dataset card

README.md

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+---
+license: other
+license_name: mixed
+license_link: LICENSE
+language:
+- en
+- zh
+- multilingual
+task_categories:
+- text-generation
+- image-text-to-text
+tags:
+- reasoning
+- chain-of-thought
+- multimodal
+- grounding
+size_categories:
+- 1M<n<10M
+---
+
+# thoughtbase-v2
+
+Text and image prompts, each with one or more reasoning traces and a final response, collected from
+existing open datasets. Nothing here was generated for this release; rows were filtered, deduplicated
+and regrouped. Built for non-commercial research.
+
+| | count |
+|---|---|
+| prompts (train / validation) | 2,740,885 / 27,510 |
+| reasoning traces (all responses) | 4,722,758 |
+| image traces | 934,278 (19.8%) |
+| image files | 45 tar shards under `images/` |
+
+## Format
+
+`train.jsonl` and `validation.jsonl`, one prompt per line:
+
+```json
+{"id": "v3_gqa_1:…", "prompt": "What is the color of that vase?…",
+ "image_paths": ["images/ab/ab12….jpg"],
+ "responses": [{"cot": "The user wants…", "final_answer": "Green", "model": "v3_gqa_1"}],
+ "split_group": "image:ab12…", "source": {"dataset": "nvidia/Nemotron-Image-Training-v3", "source": "v3_gqa_1", "row": 17}}
+```
+
+- `responses` holds every distinct trace for the same prompt and images (e.g. several solutions of one
+  math problem). `model` names the source the trace came from.
+- Multi-turn source rows become one prompt per turn: earlier turns keep their question and final
+  answer, only the target turn has reasoning.
+- Grounding answers use `<box>[[x1, y1, x2, y2], …]</box>` with coordinates on a 0–1000 grid.
+- About 1% of prompts are in validation, split by image hash or whitespace-normalized prompt, so no
+  image or prompt appears in both splits.
+- Length limits (Qwen3.5 tokenizer, real token counts): prompt + 256 tokens per image ≤ 4096,
+  cot < 16384, final answer < 4096. Longer items were dropped, not truncated.
+
+## Use
+
+```bash
+hf download JonesLin/thoughtbase-v2 --repo-type dataset --local-dir thoughtbase-v2
+cd thoughtbase-v2 && for t in images/*.tar; do tar -xf "$t"; done   # creates images/<sha[:2]>/<sha>.<ext>
+```
+
+Image paths in the JSONL are relative to the folder holding it.
+
+## Sources
+
+`manifest.json` has prompts, responses and drops per source. Main sources (prompts / traces):
+
+| group | source | license of the source |
+|---|---|---|
+| math | nvidia/Nemotron-Math-v2 (low, medium) | CC-BY-4.0 / CC-BY-SA-4.0 |
+| math, code, Q&A | PrimeIntellect/SYNTHETIC-1 (verified score) | Apache-2.0 |
+| code, IF, chat, safety, multilingual | allenai/Dolci-Think-SFT-7B | ODC-BY-1.0 |
+| code | open-r1/codeforces-cots | CC-BY-4.0 |
+| science | nvidia/Nemotron-Science-v1, nvidia/OpenScienceReasoning-2 | CC-BY-4.0 |
+| medical | FreedomIntelligence/medical-o1-reasoning-SFT | Apache-2.0 |
+| instruction following | nvidia/Nemotron-SFT-Instruction-Following-Chat-v3 | mixed, see source |
+| multilingual | nvidia/Nemotron-SFT-Multilingual-v2 | CC-BY-4.0 / CC-BY-SA-4.0 |
+| chat | nvidia/Llama-Nemotron-Post-Training-Dataset | CC-BY-4.0 |
+| images | nvidia/Nemotron-Image-Training-v3 (aokvqa_2, gqa, chartqa, plotqa, figureqa, clevr, mulberry_1/2, flickr30k, toloka, zhwiki_1, unigeo, geometry3k, pmc_vqa, slake_med) | CC-BY-4.0 annotations; ChartQA labels GPL-3.0; zhwiki CC-BY-SA-4.0 |
+| images | Fancy-MLLM/R1-Onevision | Apache-2.0 |
+| images | remyxai/SpaceThinker (spatial reasoning) | Apache-2.0 |
+| images | HuggingFaceM4/A-OKVQA, derek-thomas/ScienceQA, LightChen2333/M3CoT | not stated / CC-BY-SA-4.0 / MIT |
+
+Images come from the original releases (COCO, GQA, Flickr30k, ChartQA, FigureQA, CLEVR, PMC-VQA,
+SLAKE, UniGeo, Geometry3K, Mulberry-SFT and others) and keep their own terms. **Flickr30k images are
+for non-commercial research only.** Check each source's license before any other use.
+
+mulberry_2 traces were kept only when their final answer matched Mulberry-SFT's answer.