Download scripts/check_release_readiness.py from BeliefLens/FinGovBench: direct link, hf CLI and curl.
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https://huggingface.co/datasets/BeliefLens/FinGovBench/resolve/main/scripts/check_release_readiness.py
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curl -L -o check_release_readiness.py https://huggingface.co/datasets/BeliefLens/FinGovBench/resolve/main/scripts/check_release_readiness.py
1.31 kB
| #!/usr/bin/env python3 | |
| """Prevent the 12-case seed from being presented as a released benchmark result.""" | |
| from __future__ import annotations | |
| import argparse | |
| import json | |
| from collections import Counter | |
| from pathlib import Path | |
| def main() -> None: | |
| parser = argparse.ArgumentParser() | |
| parser.add_argument("dataset", type=Path) | |
| parser.add_argument("--minimum-total", type=int, default=3000) | |
| parser.add_argument("--minimum-genuine", type=int, default=1200) | |
| args = parser.parse_args() | |
| rows = [json.loads(line) for line in args.dataset.read_text().splitlines() if line.strip()] | |
| controlled = sum(row["case_origin"] == "controlled" for row in rows) | |
| genuine = sum(row["case_origin"] in {"genuine_revision", "real_world_incident"} for row in rows) | |
| report = { | |
| "cases": len(rows), | |
| "controlled_cases": controlled, | |
| "genuine_cases": genuine, | |
| "domains": dict(Counter(row["domain"] for row in rows)), | |
| "release_ready": len(rows) >= args.minimum_total and genuine >= args.minimum_genuine, | |
| "required_total": args.minimum_total, | |
| "required_genuine": args.minimum_genuine, | |
| } | |
| print(json.dumps(report, indent=2, sort_keys=True)) | |
| raise SystemExit(0 if report["release_ready"] else 2) | |
| if __name__ == "__main__": | |
| main() | |