Datasets:
Skills Desk v2: 36 screened training tasks (pre-registered rule), ev_contracts on CC0 USAspending data; reserved set unchanged
8685f4e verified | """Assemble the public Hugging Face dataset folder for Skills Desk. | |
| Writes OUT/tasks.jsonl (one row per task id: training or reserved split, family, skill, domain, title, | |
| output path and the fixed instance's instruction), OUT/manifest/ (training and reserved id lists) and | |
| OUT/source/ (environment, tools, tests, Dockerfile). The README card is kept by hand. No screening | |
| numbers are written here; v2's training selection and its screen counts are in manifest/ (v2-selection.json). | |
| Reserved results are a baseline, not a label. | |
| Usage: PYTHONPATH=. .venv/bin/python tools/make_dataset.py --out ../outputs/skills-desk-dataset | |
| """ | |
| import argparse | |
| import json | |
| import os | |
| import random | |
| import shutil | |
| import sys | |
| sys.path.insert(0, ".") | |
| from terminal_desk.families import ALL_FAMILIES, instance_seed, parse_task_id, reserved_task_ids # noqa: E402 | |
| SOURCE = ["terminal_desk", "tools", "tests", "manifest", "Dockerfile", "openenv.yaml", "README.md", "LICENSE", | |
| "NOTICE", ".dockerignore", "vendor"] | |
| SKILL = {"ev": "evidence", "cmp": "compute", "tx": "transform", "fix": "repair", "plan": "constraints"} | |
| def skill_of(fid: str) -> str: | |
| return SKILL[fid.removeprefix("res_").split("_")[0]] | |
| def main() -> None: | |
| p = argparse.ArgumentParser() | |
| p.add_argument("--out", required=True) | |
| p.add_argument("--manifest", default="manifest/training_tasks_v2.txt") | |
| a = p.parse_args() | |
| train = [ln.strip() for ln in open(a.manifest) if ln.strip() and not ln.startswith("#")] | |
| os.makedirs(a.out, exist_ok=True) | |
| with open(os.path.join(a.out, "tasks.jsonl"), "w") as fh: | |
| for split, ids in (("train", train), ("reserved", reserved_task_ids())): | |
| for tid in ids: | |
| fid, level, _ = parse_task_id(tid) | |
| fam = ALL_FAMILIES[fid] | |
| built = fam.build(level, random.Random(instance_seed(tid))) # the fixed instance reset serves | |
| fh.write(json.dumps({ | |
| "task_id": tid, "split": split, "family": fid, "skill": skill_of(fid), "domain": fam.domain, | |
| "level": level, "title": fam.title, "output": "/app/" + built.artifact.path, | |
| "instruction": built.instruction, | |
| }) + "\n") | |
| shutil.rmtree(os.path.join(a.out, "manifest"), ignore_errors=True) | |
| shutil.copytree("manifest", os.path.join(a.out, "manifest")) | |
| for name in ("LICENSE", "NOTICE"): | |
| shutil.copy(name, os.path.join(a.out, name)) | |
| src = os.path.join(a.out, "source") | |
| shutil.rmtree(src, ignore_errors=True) | |
| for name in SOURCE: | |
| if os.path.isdir(name): | |
| shutil.copytree(name, os.path.join(src, name), ignore=shutil.ignore_patterns("__pycache__", "qwen_tok")) | |
| else: | |
| shutil.copy(name, os.path.join(src, name)) | |
| print("dataset folder ready:", a.out) | |
| if __name__ == "__main__": | |
| main() | |