| """Assemble the public Hugging Face dataset folder. |
| |
| Writes OUT/tasks.jsonl (one task per line: id, family, domain, level, an example instruction, the calibration screen stats and whether the task is in the submission), and |
| OUT/source/ (the environment, tools, tests, Dockerfile). The README card is kept by hand. |
| |
| Usage: python tools/make_dataset.py --screen runs/a.jsonl runs/b.jsonl --selected runs/selected.txt --out dataset |
| """ |
|
|
| import argparse |
| import json |
| import os |
| import random |
| import shutil |
| import sys |
| from collections import defaultdict |
|
|
| sys.path.insert(0, ".") |
| from terminal_desk.families import FAMILIES, all_task_ids, instance_seed, parse_task_id |
|
|
| SOURCE = ["terminal_desk", "tools", "tests", "Dockerfile", "openenv.yaml", "README.md", "LICENSE", "NOTICE", |
| ".dockerignore", "vendor"] |
|
|
|
|
| def main() -> None: |
| p = argparse.ArgumentParser() |
| p.add_argument("--screen", required=True, nargs="+") |
| p.add_argument("--selected", required=True) |
| p.add_argument("--out", required=True) |
| a = p.parse_args() |
| stats = defaultdict(list) |
| for path in a.screen: |
| for line in open(path): |
| r = json.loads(line) |
| if "error" not in r: |
| stats[r["task_id"]].append(r) |
| selected = {ln.strip() for ln in open(a.selected) if ln.strip() and not ln.startswith("#")} |
| with open(os.path.join(a.out, "tasks.jsonl"), "w") as fh: |
| for tid in all_task_ids(): |
| fid, level, _ = parse_task_id(tid) |
| fam = FAMILIES[fid] |
| built = fam.build(level, random.Random(instance_seed(tid))) |
| rs = stats.get(tid, []) |
| rewards = [r["reward"] for r in rs] |
| fh.write(json.dumps({ |
| "task_id": tid, |
| "family": fid, |
| "domain": fam.domain, |
| "level": level, |
| "title": fam.title, |
| "in_submission": tid in selected, |
| "screen_episodes": len(rs), |
| "screen_mean_reward": round(sum(rewards) / len(rewards), 3) if rewards else None, |
| "screen_full_solves": sum(1 for x in rewards if x == 1.0), |
| "screen_non_json_endings": sum(1 for r in rs if r["ended"] in ("invalid_reply", "truncated", "invalid_action")), |
| "screen_budget_endings": sum(1 for r in rs if r["ended"] in ("budget", "context")), |
| "screen_mean_steps": round(sum(r["steps"] for r in rs) / len(rs), 2) if rs else None, |
| "artifact_path": "/app/" + built.artifact.path, |
| "artifact_kind": built.artifact.kind, |
| "example_instruction": built.instruction, |
| }) + "\n") |
| 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() |
|
|
