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--- |
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task_categories: |
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- summarization |
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--- |
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# AutoTrain Dataset for project: finalbartmodel |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project finalbartmodel. |
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### Languages |
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The BCP-47 code for the dataset's language is unk. |
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## Dataset Structure |
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### Data Instances |
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A sample from this dataset looks as follows: |
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```json |
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[ |
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{ |
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"text": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . The Human Shop", |
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"feat_Unnamed: 1": null, |
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"target": "Four people standing in an enclosure with a sign that says \" The Human Shop \" on it . ", |
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"feat_Unnamed: 3": null, |
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"feat_Unnamed: 4": null, |
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"feat_Unnamed: 5": null, |
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"feat_Unnamed: 6": null, |
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"feat_Unnamed: 7": null, |
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"feat_Unnamed: 8": null, |
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"feat_Unnamed: 9": null, |
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"feat_Unnamed: 10": null, |
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"feat_Unnamed: 11": null, |
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"feat_Unnamed: 12": null, |
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"feat_Unnamed: 13": null, |
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"feat_Unnamed: 14": null, |
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"feat_Unnamed: 15": null |
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}, |
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{ |
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"text": "a man carrying a sign that says free hug along the sidewalk .Free hugs", |
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"feat_Unnamed: 1": null, |
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"target": "a man carrying a sign that says free hug along the sidewalk .", |
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"feat_Unnamed: 3": null, |
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"feat_Unnamed: 4": null, |
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"feat_Unnamed: 5": null, |
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"feat_Unnamed: 6": null, |
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"feat_Unnamed: 7": null, |
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"feat_Unnamed: 8": null, |
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"feat_Unnamed: 9": null, |
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"feat_Unnamed: 10": null, |
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"feat_Unnamed: 11": null, |
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"feat_Unnamed: 12": null, |
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"feat_Unnamed: 13": null, |
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"feat_Unnamed: 14": null, |
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"feat_Unnamed: 15": null |
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} |
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] |
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``` |
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### Dataset Fields |
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The dataset has the following fields (also called "features"): |
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```json |
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{ |
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"text": "Value(dtype='string', id=None)", |
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"feat_Unnamed: 1": "Value(dtype='float64', id=None)", |
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"target": "Value(dtype='string', id=None)", |
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"feat_Unnamed: 3": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 4": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 5": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 6": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 7": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 8": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 9": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 10": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 11": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 12": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 13": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 14": "Value(dtype='float64', id=None)", |
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"feat_Unnamed: 15": "Value(dtype='float64', id=None)" |
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} |
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``` |
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### Dataset Splits |
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This dataset is split into a train and validation split. The split sizes are as follow: |
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| Split name | Num samples | |
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| ------------ | ------------------- | |
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| train | 408 | |
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| valid | 102 | |
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