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Datasets:
stair-lab
/
irsl_downstream_resmat1_binary
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irsl_downstream_resmat1_binary
1.34 GB
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10 commits
yuhengtu
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results_Amber.pkl
pickle
Detected Pickle imports (10)
"numpy.ndarray"
,
"numpy.dtype"
,
"pandas.core.indexes.multi.MultiIndex"
,
"numpy._core.multiarray._reconstruct"
,
"builtins.slice"
,
"pandas.core.indexes.base._new_Index"
,
"pandas._libs.internals._unpickle_block"
,
"pandas.core.internals.managers.BlockManager"
,
"pandas.core.indexes.base.Index"
,
"pandas.core.frame.DataFrame"
How to fix it?
273 MB
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results_SmolLM2-1.7B-intermediate-checkpoints.pkl
pickle
Detected Pickle imports (10)
"numpy.ndarray"
,
"numpy.dtype"
,
"pandas.core.indexes.multi.MultiIndex"
,
"numpy._core.multiarray._reconstruct"
,
"builtins.slice"
,
"pandas.core.indexes.base._new_Index"
,
"pandas._libs.internals._unpickle_block"
,
"pandas.core.internals.managers.BlockManager"
,
"pandas.core.indexes.base.Index"
,
"pandas.core.frame.DataFrame"
How to fix it?
56.8 MB
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results_pythia-1.4b.pkl
pickle
Detected Pickle imports (10)
"builtins.slice"
,
"pandas.core.indexes.base._new_Index"
,
"pandas.core.frame.DataFrame"
,
"pandas._libs.internals._unpickle_block"
,
"pandas.core.internals.managers.BlockManager"
,
"numpy.ndarray"
,
"pandas.core.indexes.multi.MultiIndex"
,
"numpy._core.multiarray._reconstruct"
,
"pandas.core.indexes.base.Index"
,
"numpy.dtype"
How to fix it?
146 MB
xet
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7 months ago
results_pythia-12b.pkl
141 MB
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7 months ago
results_pythia-160m.pkl
142 MB
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7 months ago
results_pythia-2.8b.pkl
146 MB
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results_pythia-410m.pkl
146 MB
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results_pythia-6.9b.pkl
142 MB
xet
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results_pythia-70m.pkl
pickle
Detected Pickle imports (10)
"builtins.slice"
,
"pandas.core.indexes.base._new_Index"
,
"pandas.core.frame.DataFrame"
,
"pandas._libs.internals._unpickle_block"
,
"pandas.core.internals.managers.BlockManager"
,
"numpy.ndarray"
,
"pandas.core.indexes.multi.MultiIndex"
,
"numpy._core.multiarray._reconstruct"
,
"pandas.core.indexes.base.Index"
,
"numpy.dtype"
How to fix it?
142 MB
xet
Upload results_pythia-70m.pkl with huggingface_hub
7 months ago
