autotrain-data-processor commited on
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Processed data from AutoTrain data processor ([2023-04-26 10:45 ]

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README.md ADDED
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+ ---
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+ language:
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+ - en
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+ task_categories:
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+ - text-classification
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+
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+ ---
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+ # AutoTrain Dataset for project: car0fil-001
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+
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+ ## Dataset Description
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+
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+ This dataset has been automatically processed by AutoTrain for project car0fil-001.
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+
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+ ### Languages
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+
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+ The BCP-47 code for the dataset's language is en.
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+
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+ ## Dataset Structure
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+
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+ ### Data Instances
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+
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+ A sample from this dataset looks as follows:
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+
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+ ```json
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+ [
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+ {
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+ "target": 0,
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+ "text": "And I remember",
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+ "feat_DATE": "2022-09-12T12:29:04",
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+ "feat_PLATFORM": null,
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+ "feat_Unnamed: 4": null,
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+ "feat_Unnamed: 3": null,
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+ "feat_Unnamed: 5": null
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+ },
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+ {
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+ "target": 1,
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+ "text": "Throw a lil \u201cKurt filips is my dad\u201d",
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+ "feat_DATE": "2023-03-27T15:36:21",
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+ "feat_PLATFORM": null,
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+ "feat_Unnamed: 4": null,
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+ "feat_Unnamed: 3": null,
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+ "feat_Unnamed: 5": null
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+ }
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+ ]
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+ ```
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+
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+ ### Dataset Fields
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+
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+ The dataset has the following fields (also called "features"):
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+
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+ ```json
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+ {
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+ "target": "ClassLabel(names=['CAROLINE FILIPS', 'NOT CAROLINE'], id=None)",
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+ "text": "Value(dtype='string', id=None)",
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+ "feat_DATE": "Value(dtype='string', id=None)",
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+ "feat_PLATFORM": "Value(dtype='string', id=None)",
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+ "feat_Unnamed: 4": "Value(dtype='float64', id=None)",
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+ "feat_Unnamed: 3": "Value(dtype='float64', id=None)",
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+ "feat_Unnamed: 5": "Value(dtype='float64', id=None)"
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+ }
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+ ```
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+
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+ ### Dataset Splits
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+
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+ This dataset is split into a train and validation split. The split sizes are as follow:
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+
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+ | Split name | Num samples |
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+ | ------------ | ------------------- |
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+ | train | 689784 |
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+ | valid | 172447 |
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+ {"splits": ["train", "valid"]}
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+ "description": "AutoTrain generated dataset",
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+ "features": {
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+ "CAROLINE FILIPS",
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+ "NOT CAROLINE"
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