Datasets:
Fix overconfident statement
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tools/templates/README.tmpl
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### Data Quality & Fidelity
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This dataset achieves **100% fidelity** for linguistic data (tokens,
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Recent improvements include fixes for:
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- Double equals parsing in FEATS/MISC fields (e.g., `Gloss==POSS`)
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### Data Quality & Fidelity
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This dataset achieves **100% fidelity** for linguistic data (tokens,
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annotations, dependencies) and **very high (~98%) fidelity** for metadata. The
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Parquet files can be perfectly reconstructed back to the original CoNLL-U
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format with:
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- All linguistic annotations preserved exactly
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- Multi-word tokens (MWTs) and empty nodes fully supported
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- Duplicate metadata keys preserved (1,323 sentences across 14 treebanks)
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- Enhanced dependencies and rare annotation edge cases handled correctly
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Recent improvements include fixes for:
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- Double equals parsing in FEATS/MISC fields (e.g., `Gloss==POSS`)
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