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README.md

@@ -134,6 +134,9 @@ split — no page leakage). `table` = a page from which Wellcome extracted ≥1
 may also contain prose); printed→scan alignment via IIIF canvas labels, verified, with
 composite/multi-section reports excluded.
 
+> [!NOTE]
+> **Ground-truth quality — silver, not gold.** The tables are **machine-extracted** (OCR-based table recognition), not hand-transcribed. Spot-checks against the page images show **numeric cell values are highly accurate** (often exact), while **captions/text labels carry occasional OCR errors** (e.g. `classes`→`olasses`, `(S.1)`→`(S.l)`), multi-level headers are flattened, and sparse tables have imperfect empty-cell alignment / inconsistent nil markers (`-`, `_`, blank). Each CSV is prefixed with an id line, a `Page,NNN` line, and the table caption. **Use as a silver benchmark target**: score numeric cells exactly, fuzzy-match text, and don't penalise a model for the GT's own OCR noise. A small hand-corrected gold subset is recommended for headline results.
+
 ## Provenance & reproducibility
 
 - **Images**: Wellcome [IIIF Presentation v2 API](https://iiif.wellcomecollection.org/),