Datasets:
Download queries/scripts/verify_regeneration.py from Qdrant/FineWeb-10B: direct link, hf CLI and curl.
- Browser
- Download file 2.86 kB
-
https://huggingface.co/datasets/Qdrant/FineWeb-10B/resolve/main/queries/scripts/verify_regeneration.py
- Command line
-
hf download hf://datasets/Qdrant/FineWeb-10B/queries/scripts/verify_regeneration.py
-
curl -L -o verify_regeneration.py https://huggingface.co/datasets/Qdrant/FineWeb-10B/resolve/main/queries/scripts/verify_regeneration.py
2.86 kB
| #!/usr/bin/env python3 | |
| """Check that a regenerated file recovered the right MS MARCO queries. | |
| python scripts/verify_regeneration.py --sets . --regenerated regenerated/ | |
| Compares the SHA-256 of the recovered `query` column against the fingerprints | |
| in `_checksums.json`. This is the check worth running: MS MARCO v1.1 and v2.1 | |
| reuse the same numeric query ids for different queries, so a config mix-up | |
| returns plausible text for the wrong question and silently corrupts every | |
| recall number computed from it. The hash catches that on the first row. | |
| A mismatch means the join is wrong, not that your embeddings are wrong -- this | |
| does not check vectors. See the README on reproducibility for those. | |
| """ | |
| from __future__ import annotations | |
| import argparse | |
| import hashlib | |
| import json | |
| from pathlib import Path | |
| import pyarrow.parquet as pq | |
| def main() -> None: | |
| ap = argparse.ArgumentParser(description=__doc__, | |
| formatter_class=argparse.RawDescriptionHelpFormatter) | |
| ap.add_argument("--sets", default=".", help="bundle dir holding _checksums.json") | |
| ap.add_argument("--regenerated", required=True, help="dir written by regenerate_all.py") | |
| args = ap.parse_args() | |
| expected = json.loads((Path(args.sets) / "_checksums.json").read_text()) | |
| out_dir = Path(args.regenerated) | |
| failures, checked = [], 0 | |
| for name, want in expected.items(): | |
| path = out_dir / f"{name}_regenerated.parquet" | |
| if not path.exists(): | |
| print(f"{name:19} SKIP (not regenerated)") | |
| continue | |
| pf = pq.ParquetFile(path) | |
| if "query" not in pf.schema_arrow.names: | |
| failures.append(f"{name}: no `query` column") | |
| print(f"{name:19} FAIL no `query` column") | |
| continue | |
| h, rows = hashlib.sha256(), 0 | |
| for batch in pf.iter_batches(batch_size=8192, columns=["query"]): | |
| for q in batch.column(0).to_pylist(): | |
| h.update(q.encode()) | |
| h.update(b"\0") | |
| rows += 1 | |
| checked += 1 | |
| if rows != want["rows"]: | |
| failures.append(f"{name}: {rows:,} rows, expected {want['rows']:,}") | |
| print(f"{name:19} FAIL {rows:,} rows, expected {want['rows']:,}") | |
| elif h.hexdigest() != want["query_text_sha256"]: | |
| failures.append(f"{name}: query text does not match") | |
| print(f"{name:19} FAIL query text mismatch -- wrong config/split, " | |
| f"or rows reordered") | |
| else: | |
| print(f"{name:19} ok {rows:,} rows") | |
| if failures: | |
| raise SystemExit(f"\n{len(failures)} set(s) failed:\n " + "\n ".join(failures)) | |
| if checked == 0: | |
| raise SystemExit("\nnothing checked -- is --regenerated pointing at the right dir?") | |
| print(f"\n{checked} set(s) verified") | |
| if __name__ == "__main__": | |
| main() | |