Download validate_dataset.py from RegalFire/Scientific-Answer-Ranking: direct link, hf CLI and curl.
- Browser
- Download file 468 Bytes
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https://huggingface.co/datasets/RegalFire/Scientific-Answer-Ranking/resolve/main/validate_dataset.py
- Command line
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hf download hf://datasets/RegalFire/Scientific-Answer-Ranking/validate_dataset.py
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curl -L -o validate_dataset.py https://huggingface.co/datasets/RegalFire/Scientific-Answer-Ranking/resolve/main/validate_dataset.py
468 Bytes
| from pathlib import Path | |
| import argparse,sys | |
| sys.path.insert(0,str(Path(__file__).resolve().parent/'validation_engine')) | |
| from validate_products import validate | |
| p=argparse.ArgumentParser();p.add_argument('--source-root',type=Path,required=True);p.add_argument('--release',type=Path,default=Path(__file__).resolve().parent);a=p.parse_args() | |
| r=validate(a.release,a.source_root,'Scientific-Answer-Ranking');print(r);raise SystemExit(0 if r['status']=='PASS' else 1) | |