| """Create Arrow-friendly dataset rows without changing canonical task data.""" |
| import json |
| from pathlib import Path |
|
|
| ROOT = Path(__file__).resolve().parent |
| rows = [json.loads(line) for line in (ROOT / "tasks.jsonl").read_text().splitlines() if line] |
| manifest = ROOT / "curriculum.json" |
| selected = set(json.loads(manifest.read_text())["arena_task_ids"]) if manifest.exists() else set() |
| viewer = [] |
| for task in rows: |
| keys = ("task_id", "family", "bug_pattern", "case_seed", "prompt", "starter", "split") |
| row = {key: task[key] for key in keys if key in task} |
| if "family" in task: |
| row["arena_selected"] = task["task_id"] in selected |
| row["num_cases"] = len(task["cases"]) |
| row["cases_json"] = json.dumps(task["cases"], ensure_ascii=False, separators=(",", ":")) |
| assert json.loads(row["cases_json"]) == task["cases"] |
| viewer.append(row) |
| assert len({row["task_id"] for row in viewer}) == len(rows) |
| (ROOT / "viewer_train.jsonl").write_text( |
| "".join(json.dumps(row, ensure_ascii=False, separators=(",", ":")) + "\n" for row in viewer) |
| ) |
| print(f"Prepared {len(viewer)} rows, {sum(row['num_cases'] for row in viewer)} cases") |
|
|
