Datasets:
| """Stage 2 decontamination (``docs/02_DATA_PIPELINE.md`` §5, ``docs/07`` §5). | |
| Fingerprints every normalized item (exact, pHash, OCR/question MinHash) into a | |
| SQLite index, then matches train candidates against the evaluation index to | |
| auto-reject exact contamination and near-duplicates, producing the train | |
| allowlist and an immutable rejection report. | |
| Public API: | |
| - :func:`fingerprints.fingerprint_row` — one item's fingerprints | |
| - :func:`index.write_fingerprints` / :func:`index.load_all` — the SQLite index | |
| - :func:`match.decontaminate` / :func:`match.decontaminate_dbs` — classification, | |
| allowlist, and automatic-rejection report | |
| """ | |
| from __future__ import annotations | |
| from . import fingerprints, index, match | |
| from .fingerprints import Fingerprints, fingerprint_row | |
| from .index import LoadedFingerprints, load_all, write_fingerprints | |
| from .match import DecontaminationResult, decontaminate, decontaminate_dbs | |
| __all__ = [ | |
| "DecontaminationResult", | |
| "Fingerprints", | |
| "LoadedFingerprints", | |
| "decontaminate", | |
| "decontaminate_dbs", | |
| "fingerprint_row", | |
| "fingerprints", | |
| "index", | |
| "load_all", | |
| "match", | |
| "write_fingerprints", | |
| ] | |