8.55 GB

2 contributors

History: 5 commits

This dataset has 3 files scanned as unsafe.

mike dupont

adding more data

e408318 almost 2 years ago

.gitattributes

4.92 kB
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README.md

4.4 kB
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X_test_transformed.csv

20.9 MB
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X_test_transformed.fth

8.05 MB
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X_test_transformed.json

100 MB
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X_test_transformed.orc

0 Bytes
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X_test_transformed.parquet

8.23 MB
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X_test_transformed.pkl
Detected Pickle imports (14)
- "numpy.core.numeric._frombuffer",
- "numpy.dtype",
- "pandas.core.dtypes.dtypes.CategoricalDtype",
- "builtins.slice",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "pandas.core.indexes.range.RangeIndex",
- "numpy.ndarray",
- "pandas.core.indexes.base._new_Index",
- "pandas.core.indexes.base.Index",
- "pandas.core.frame.DataFrame",
- "pandas._libs.internals._unpickle_block",
- "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
- "pandas.core.arrays.categorical.Categorical"
How to fix it?
11.7 MB
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X_train.csv

37 MB
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X_train.fth

0 Bytes
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X_train.json

261 MB
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X_train.orc

0 Bytes
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X_train.parquet

180 MB
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X_train.pkl
Detected Pickle imports (9)
- "pandas.core.indexes.base._new_Index",
- "pandas.core.indexes.base.Index",
- "pandas._libs.internals._unpickle_block",
- "numpy.core.numeric._frombuffer",
- "numpy.dtype",
- "pandas.core.internals.managers.BlockManager",
- "pandas.core.frame.DataFrame",
- "numpy.ndarray",
- "numpy.core.multiarray._reconstruct"
How to fix it?
227 MB
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X_train_transformed.csv

2 MB
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X_train_transformed.fth

6.22 MB
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X_train_transformed.json

7.54 MB
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X_train_transformed.parquet

7.28 MB
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X_train_transformed.pkl
Detected Pickle imports (14)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.internals.managers.BlockManager",
- "pandas._libs.arrays.__pyx_unpickle_NDArrayBacked",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "pandas.core.dtypes.dtypes.CategoricalDtype",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.numeric._frombuffer",
- "pandas.core.arrays.categorical.Categorical",
- "pandas.core.indexes.range.RangeIndex",
- "numpy.dtype",
- "builtins.slice",
- "pandas.core.frame.DataFrame"
How to fix it?
1.68 MB
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dataset-metadata.json

133 Bytes
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dataset-metadata.json~

130 Bytes
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feature_generator.pkl
Detected Pickle imports (24)
- "collections.defaultdict",
- "autogluon.features.generators.auto_ml_pipeline.AutoMLPipelineFeatureGenerator",
- "pandas.core.indexes.base.Index",
- "pandas.core.indexes.range.RangeIndex",
- "autogluon.common.features.feature_metadata.FeatureMetadata",
- "autogluon.features.generators.drop_duplicates.DropDuplicatesFeatureGenerator",
- "numpy.uint8",
- "autogluon.features.generators.text_special.TextSpecialFeatureGenerator",
- "autogluon.features.generators.memory_minimize.CategoryMemoryMinimizeFeatureGenerator",
- "numpy.dtype",
- "autogluon.features.generators.fillna.FillNaFeatureGenerator",
- "autogluon.features.generators.identity.IdentityFeatureGenerator",
- "pandas.core.indexes.base._new_Index",
- "numpy.ndarray",
- "autogluon.features.generators.text_ngram.TextNgramFeatureGenerator",
- "sklearn.feature_extraction.text.CountVectorizer",
- "numpy.core.multiarray.scalar",
- "autogluon.features.generators.drop_unique.DropUniqueFeatureGenerator",
- "numpy.int8",
- "builtins.list",
- "autogluon.features.generators.astype.AsTypeFeatureGenerator",
- "autogluon.features.generators.category.CategoryFeatureGenerator",
- "numpy.core.multiarray._reconstruct",
- "autogluon.features.generators.binned.BinnedFeatureGenerator"
How to fix it?
16.4 MB
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first_dataset.csv

20.1 MB
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first_dataset.fth

0 Bytes
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first_dataset.json

171 MB
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first_dataset.orc

0 Bytes
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first_dataset.pkl
Detected Pickle imports (10)
- "numpy.core.numeric._frombuffer",
- "numpy.dtype",
- "numpy.core.multiarray._reconstruct",
- "numpy.ndarray",
- "pandas.core.internals.managers.BlockManager",
- "pandas.core.indexes.range.RangeIndex",
- "pandas.core.indexes.base._new_Index",
- "pandas.core.indexes.base.Index",
- "pandas.core.frame.DataFrame",
- "pandas._libs.internals._unpickle_block"
How to fix it?
134 MB
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first_dataset2.csv

315 MB
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first_dataset2.json

3.37 GB
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first_dataset2.pkl

2.64 GB
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test.py

273 Bytes
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test.py~

267 Bytes
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test_Data.csv

18.2 MB
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test_Data.fth

0 Bytes
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test_Data.json

73 MB
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test_Data.orc

0 Bytes
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test_Data.parquet

189 MB
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test_Data.pkl
Detected Pickle imports (9)
- "numpy.core.numeric._frombuffer",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "pandas.core.indexes.base._new_Index",
- "numpy.ndarray",
- "pandas.core.frame.DataFrame",
- "pandas._libs.internals._unpickle_block",
- "numpy.dtype",
- "pandas.core.indexes.base.Index"
How to fix it?
65.4 MB
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test_utils.py

668 Bytes
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train_Data.csv

37 MB
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train_Data.fth

0 Bytes
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train_Data.json

261 MB
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train_Data.orc

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train_Data.parquet

138 MB
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train_Data.pkl
Detected Pickle imports (9)
- "numpy.core.numeric._frombuffer",
- "pandas.core.internals.managers.BlockManager",
- "numpy.core.multiarray._reconstruct",
- "pandas.core.indexes.base._new_Index",
- "numpy.ndarray",
- "pandas.core.frame.DataFrame",
- "pandas._libs.internals._unpickle_block",
- "numpy.dtype",
- "pandas.core.indexes.base.Index"
How to fix it?
227 MB
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y_train.csv

14.4 kB
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y_train.fth

5.37 kB
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y_train.json

15.1 kB
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y_train.parquet

6.4 kB
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y_train.pkl
Detected Pickle imports (10)
- "pandas.core.indexes.base._new_Index",
- "pandas._libs.internals._unpickle_block",
- "pandas.core.internals.managers.BlockManager",
- "numpy.ndarray",
- "pandas.core.indexes.base.Index",
- "numpy.core.multiarray._reconstruct",
- "numpy.core.numeric._frombuffer",
- "numpy.dtype",
- "builtins.slice",
- "pandas.core.frame.DataFrame"
How to fix it?
15.9 kB
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adding more data almost 2 years ago

Detected Pickle imports (14)

Detected Pickle imports (9)

Detected Pickle imports (14)

Detected Pickle imports (24)

Detected Pickle imports (10)

Detected Pickle imports (9)

Detected Pickle imports (9)

Detected Pickle imports (10)