Download source/scripts/build_dataset.py from rca-umb/five-desks-control: direct link, hf CLI and curl.
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https://huggingface.co/datasets/rca-umb/five-desks-control/resolve/main/source/scripts/build_dataset.py
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hf download hf://datasets/rca-umb/five-desks-control/source/scripts/build_dataset.py
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curl -L -o build_dataset.py https://huggingface.co/datasets/rca-umb/five-desks-control/resolve/main/source/scripts/build_dataset.py
2.05 kB
| """Assemble the Hugging Face dataset folder: tasks.jsonl, calibration results and source.""" | |
| import json | |
| import shutil | |
| import sys | |
| from pathlib import Path | |
| ROOT = Path(__file__).resolve().parents[1] | |
| sys.path.insert(0, str(ROOT)) | |
| sys.path.insert(0, str(ROOT / "scripts")) | |
| from five_desks.environment import FiveDesksEnvironment # noqa: E402 | |
| from five_desks.tasks import TASK_IDS, build # noqa: E402 | |
| from selection import SELECTED # noqa: E402 | |
| out = ROOT / "dataset" | |
| shutil.rmtree(out, ignore_errors=True) | |
| (out / "calibration").mkdir(parents=True) | |
| calib = json.loads((ROOT / "reports/calibration/full8/summary.json").read_text())["tasks"] | |
| with open(out / "tasks.jsonl", "w") as f: | |
| for task_id in TASK_IDS: | |
| inst = build(task_id, 0) | |
| prompt = FiveDesksEnvironment().reset(task_id=task_id, seed=0).output | |
| f.write(json.dumps({ | |
| "task_id": task_id, | |
| "desk": inst.desk, | |
| "family": task_id.rsplit("-d", 1)[0], | |
| "level": int(task_id[-1]), | |
| "submitted_for_training": task_id in SELECTED, | |
| "qwen3_8_27b_mean_reward": calib[task_id]["mean"], | |
| "qwen3_8_27b_rewards": calib[task_id]["rewards"], | |
| "example_seed": 0, | |
| "example_prompt": prompt, | |
| "example_files": json.dumps(inst.files), | |
| "example_answer": json.dumps({p.key: p.expected for p in inst.parts}), | |
| "max_actions": inst.max_steps, | |
| }) + "\n") | |
| for run in ("pilot", "full8"): | |
| shutil.copy(ROOT / f"reports/calibration/{run}/summary.json", out / f"calibration/{run}_summary.json") | |
| src = out / "source" | |
| for item in ["five_desks", "server", "scripts", "tests", "openenv.yaml", "requirements.in", "requirements.lock", ".dockerignore"]: | |
| path = ROOT / item | |
| if path.is_dir(): | |
| shutil.copytree(path, src / item, ignore=shutil.ignore_patterns("__pycache__", "*.pyc")) | |
| else: | |
| shutil.copy(path, src / item) | |
| shutil.copy(ROOT / "card.md", out / "README.md") | |
| print("dataset at", out, sorted(p.name for p in out.iterdir())) | |