Download scripts/audit_data.py from nima1/decisioncraft-data: direct link, hf CLI and curl.
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https://huggingface.co/datasets/nima1/decisioncraft-data/resolve/main/scripts/audit_data.py
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hf download hf://datasets/nima1/decisioncraft-data/scripts/audit_data.py
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curl -L -o audit_data.py https://huggingface.co/datasets/nima1/decisioncraft-data/resolve/main/scripts/audit_data.py
906 Bytes
| """Verify frozen dataset bytes, group isolation and optional independent review coverage.""" | |
| import argparse | |
| import json | |
| from pathlib import Path | |
| from decisioncraft.data import audit_dataset | |
| def main() -> None: | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument("--dataset", type=Path, required=True) | |
| parser.add_argument("--review", type=Path) | |
| parser.add_argument("--output", type=Path, required=True) | |
| args = parser.parse_args() | |
| if args.output.exists(): | |
| parser.error("output already exists; retain prior audit evidence") | |
| result = audit_dataset(args.dataset, args.review) | |
| args.output.parent.mkdir(parents=True, exist_ok=True) | |
| with args.output.open("x", encoding="utf-8") as stream: | |
| stream.write(json.dumps(result, indent=2, sort_keys=True) + "\n") | |
| print(json.dumps(result, indent=2)) | |
| if __name__ == "__main__": | |
| main() | |