"""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()))