fix: Compatibility with huggingface_hub 1.16, numpy 2.0, and pandas 3.0#1971
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fix: Compatibility with huggingface_hub 1.16, numpy 2.0, and pandas 3.0#1971yoavkatz wants to merge 5 commits into
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…atibility huggingface_hub 1.16+ enforces that dataset repository IDs must use the 'namespace/name' format. Bare dataset names (e.g., 'hellaswag') are no longer accepted, causing HfUriError in CI. Co-Authored-By: Claude Opus 4.6 <[email protected]> Signed-off-by: Yoav Katz <[email protected]>
Run all prepare/cards scripts to update the catalog JSON files with the full namespace/name format for HuggingFace dataset paths. Co-Authored-By: Claude Opus 4.6 <[email protected]> Signed-off-by: Yoav Katz <[email protected]>
The evaluate library's cached f1.py uses `float(score)` on numpy arrays, which raises TypeError with numpy >= 2.0. Bypass the evaluate wrapper and call sklearn's f1_score/precision_score/recall_score directly. Co-Authored-By: Claude Opus 4.6 <[email protected]> Signed-off-by: Yoav Katz <[email protected]>
- F1 metric: replace evaluate library wrapper with direct sklearn calls to avoid numpy 2.0 float() TypeError on 0-d arrays - text2sql: cast DataFrame to str before sorting to avoid pandas 3.0 TypeError when assigning string values to int64 columns - wiki_bio: use namespaced HF dataset path (michaelauli/wiki_bio) Co-Authored-By: Claude Opus 4.6 <[email protected]> Signed-off-by: Yoav Katz <[email protected]>
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Co-Authored-By: Claude Opus 4.6 <[email protected]> Signed-off-by: Yoav Katz <[email protected]>
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Summary
LoadHF(path=...)calls to use the fullnamespace/nameformat required byhuggingface_hub >= 1.16(e.g.,hellaswag→Rowan/hellaswag)evaluatelibrary wrapper with directsklearncalls to fix numpy 2.0TypeErroron 0-d array scalar conversionTypeErrorwhen assigning string values to int64 columnsTest plan
test_f1_multiple_use,test_confidence_interval_offpasstest_text2sql_accuracy_different_db_schemapasses🤖 Generated with Claude Code