Spaces:

ibm

/

llm-rank-themselves

like 16

Running

• "pandas.core.frame.DataFrame",
• "numpy.ndarray",
• "pandas.core.indexes.base.Index",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.indexes.base._new_Index",
• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.internals.managers.BlockManager",
• "numpy.core.numeric._frombuffer",
• "builtins.slice",
• "numpy.dtype",
• "numpy.core.multiarray._reconstruct"

How to fix it?

• "pandas.core.indexes.base.Index",
• "numpy.dtype",
• "numpy.core.multiarray._reconstruct",
• "numpy.ndarray",
• "builtins.slice",
• "numpy.core.numeric._frombuffer",
• "pandas.core.frame.DataFrame",
• "pandas.core.indexes.range.RangeIndex",
• "pandas.core.indexes.base._new_Index",
• "pandas._libs.internals._unpickle_block",
• "pandas.core.internals.managers.BlockManager"

How to fix it?