Fetching metadata from the HF Docker repository...
Add TQA task
989a40a
verified
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cache_model_prediction
chore add cache Deppseek-R1-Distill-Llama-70B
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models_logo
fix path in app.py
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1.63 kB
Css, Prop vs Non-Prop, Metrics Update (#11)
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3.54 kB
fix path in app.py
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250 Bytes
removed python version
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120 kB
Add TQA task
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891 kB
fix missing db_schema
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1.74 MB
fix missing db_schema
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7.73 MB
Add TQA task
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15.6 MB
Css, Prop vs Non-Prop, Metrics Update (#11)
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44.2 kB
Upload metrics_random_csv (#5)
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307 Bytes
Css, Prop vs Non-Prop, Metrics Update (#11)
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4.89 kB
chore: removed unused pipeline
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909 kB
Css, Prop vs Non-Prop, Metrics Update (#11)
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524 Bytes
chore: removed gradio requirements
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3.6 kB
db_schema , csv fix, check columns and number tables, eval markdown, style (#16)
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9.38 kB
Prediction, Tables samples (#12)
tables_dict.pkl
Detected Pickle imports (10)
- "pandas.core.internals.managers.BlockManager",
- "numpy._core.multiarray._reconstruct",
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.indexes.range.RangeIndex",
- "numpy.ndarray",
- "builtins.slice",
- "pandas.core.indexes.base.Index",
- "numpy.dtype",
- "pandas.core.frame.DataFrame"
How to fix it?
22.8 kB
Prediction, Tables samples (#12)
tables_dict_beaver.pkl
Detected Pickle imports (10)
- "pandas.core.frame.DataFrame",
- "pandas.core.indexes.base._new_Index",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "builtins.slice",
- "pandas.core.internals.managers.BlockManager",
- "numpy.dtype",
- "pandas.core.indexes.range.RangeIndex",
- "numpy._core.multiarray._reconstruct",
- "pandas._libs.internals._unpickle_block"
How to fix it?
25.7 kB
Beaver added (#20)
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316 Bytes
feat: add TQA prompt and db_schema with INSERT INTO
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463 Bytes
chore: update test prediction for QA
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17.8 kB
More stable version. Link all acc, but still miss prediction (#6)
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7.85 kB
Add TQA task
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4.08 kB
Add TQA task
