| |
| """Convert the working JSONL files to the flat, viewer-friendly schema published on the Hub. |
| |
| Every row gets the same columns and types: |
| id, split, contract_type, contract (JSON string), output (string), samples (list of strings), |
| inputs (JSON string), context, system_prompt, label, lang, category, difficulty, rationale, source |
| |
| python hf/dataset/scripts/flatten.py hf/dataset/data/dev.jsonl hf/dataset/data/test.jsonl |
| """ |
| import json |
| import sys |
| from pathlib import Path |
|
|
|
|
| def flatten(row: dict, split: str) -> dict: |
| """Returns one row in the published schema (the original row is not modified).""" |
| output = row["output"] |
| case = row.get("case") or {} |
| return { |
| "id": row["id"], |
| "split": split, |
| "contract_type": row["contract_type"], |
| "contract": json.dumps(row["contract"], ensure_ascii=False, sort_keys=True), |
| "output": output if isinstance(output, str) else "", |
| "samples": [str(s) for s in output] if isinstance(output, list) else [], |
| "inputs": json.dumps(case.get("inputs") or {}, ensure_ascii=False, sort_keys=True), |
| "context": case.get("context") or "", |
| "system_prompt": case.get("system_prompt") or "", |
| "label": row["label"], |
| "lang": row["lang"], |
| "category": row.get("category") or "regression-test", |
| "difficulty": row.get("difficulty") or "", |
| "rationale": row.get("rationale") or "", |
| "source": row.get("source") or "", |
| } |
|
|
|
|
| def main() -> None: |
| for name in sys.argv[1:]: |
| path = Path(name) |
| split = path.stem |
| rows = [json.loads(line) for line in path.read_text(encoding="utf-8").splitlines() if line.strip()] |
| if rows and "split" in rows[0]: |
| print(f"{path}: already flat, skipped") |
| continue |
| path.write_text("".join(json.dumps(flatten(r, split), ensure_ascii=False) + "\n" for r in rows), encoding="utf-8") |
| print(f"{path}: {len(rows)} rows flattened") |
|
|
|
|
| if __name__ == "__main__": |
| main() |
|
|
