Fetching metadata from the HF Docker repository... 
global flag_TQA bug
61cc541 verified - cache_model_prediction chore add cache Deppseek-R1-Distill-Llama-70B
- models_logo fix path in app.py
- 1.63 kB Css, Prop vs Non-Prop, Metrics Update (#11)
- 3.54 kB fix path in app.py
- 250 Bytes removed python version
- 119 kB global flag_TQA bug
- 891 kB fix missing db_schema
- 1.74 MB fix missing db_schema
- 7.73 MB Add TQA task (#21)
- 15.6 MB Css, Prop vs Non-Prop, Metrics Update (#11)
- 44.2 kB Upload metrics_random_csv (#5)
- 307 Bytes Css, Prop vs Non-Prop, Metrics Update (#11)
- 4.89 kB chore: removed unused pipeline
- 909 kB Css, Prop vs Non-Prop, Metrics Update (#11)
- 524 Bytes chore: removed gradio requirements
- 3.6 kB db_schema , csv fix, check columns and number tables, eval markdown, style (#16)
- 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) - 316 Bytes feat: add TQA prompt and db_schema with INSERT INTO
- 463 Bytes chore: update test prediction for QA
- 17.8 kB More stable version. Link all acc, but still miss prediction (#6)
- 8.02 kB Fix prompts buttons, and NL2SQL bug (#24)
- 4.88 kB Fix prompts buttons, and NL2SQL bug (#24)
