Download scripts/validate_release.py from QLU-LLM/CADGUI-Bench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/QLU-LLM/CADGUI-Bench/resolve/main/scripts/validate_release.py
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hf download hf://datasets/QLU-LLM/CADGUI-Bench/scripts/validate_release.py
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curl -L -o validate_release.py https://huggingface.co/datasets/QLU-LLM/CADGUI-Bench/resolve/main/scripts/validate_release.py
2.51 kB
| #!/usr/bin/env python3 | |
| """Check that released benchmark image references resolve and private reasoning is absent.""" | |
| import json | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[1] | |
| TASKS = { | |
| "任务1.1.json": "task1", "任务1.2.json": "task1", "任务1.3.json": "task1", | |
| "任务2.1.json": "task2", "任务2.2.json": "task2", "任务2.3.json": "task2", | |
| "任务3.1基础任务.json": "task3.1", "任务3.2方位任务.json": "task3.2", | |
| "任务3.3属性任务.json": "task3.3", "任务3.4几何任务.json": "task3.4", | |
| "任务3.5三维定位.json": "task3.5", "任务4.1平移缩放旋转.json": "task4.1", | |
| "任务4.2特殊操作.json": "task4.2", "任务4.3框选拖拽.json": "task4.3", | |
| "任务5.1_非画图操作.json": "task5.1", "任务5.2_画图操作.json": "task5.2", | |
| } | |
| missing = [] | |
| items = 0 | |
| steps = 0 | |
| for filename, image_folder in TASKS.items(): | |
| with (ROOT / "Benchmark" / filename).open(encoding="utf-8-sig") as stream: | |
| data = json.load(stream) | |
| items += len(data) | |
| for item in data: | |
| image_paths = [item["image_path"]] if "image_path" in item else [] | |
| if filename.startswith("任务5.") and "subtasks" in item: | |
| raise ValueError(f"Private subtask explanations remain in {filename}") | |
| for step in item.get("steps", []): | |
| steps += 1 | |
| if filename.startswith("任务5.") and "thought" in step: | |
| raise ValueError(f"Private annotator reasoning remains in {filename}") | |
| image_paths.append(step["image_path"]) | |
| for relative in image_paths: | |
| relative = relative.replace("\\", "/") | |
| candidates = [ROOT / "images" / image_folder / relative] | |
| flattened = relative.replace("/raw_images/", "/") | |
| candidates.append(ROOT / "images" / image_folder / flattened) | |
| if relative.startswith("record_"): | |
| candidates.append( | |
| ROOT / "images" / image_folder | |
| / f"record_{item.get('task_id', 0):03d}" / "raw_images" / Path(flattened).name | |
| ) | |
| if not any(path.is_file() for path in candidates): | |
| missing.append(f"{filename}: {relative}") | |
| if missing: | |
| raise FileNotFoundError("Missing image references:\n" + "\n".join(missing[:20])) | |
| image_count = sum(1 for _ in (ROOT / "images").rglob("*.png")) | |
| print(f"Validated {len(TASKS)} task files, {items} items/tasks, {steps} multi-step frames, and {image_count} screenshots.") | |