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--- |
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task_categories: |
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- text-classification |
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--- |
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# AutoTrain Dataset for project: docid |
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## Dataset Description |
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This dataset has been automatically processed by AutoTrain for project docid. |
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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": "MetLife-Walker Information_HI_2023.3.29_14.17_C_B (1).docx.pdf", |
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"feat_url": "datasaur://static/5732/2a298b78-1c2c-4ff8-ad49-357670dd5ea7.pdf", |
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"target": 0, |
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"feat_CarrierName": "Met Life", |
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"feat_ProductTypes": "Hospital Indemnity" |
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}, |
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{ |
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"text": "Cima Telecom Inc_Prop (002)_ (2).docx.pdf", |
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"feat_url": "datasaur://static/5732/8adee066-55c4-4f8d-8dcd-53d5fdb42732.pdf", |
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"target": 0, |
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"feat_CarrierName": "Met Life", |
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"feat_ProductTypes": "Basic Life;Basic AD&D;Voluntary Life;Voluntary AD&D;Voluntary Dependent AD&D;Short-term Disability;Long-term Disability;Dental;Vision" |
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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_url": "Value(dtype='string', id=None)", |
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"target": "ClassLabel(names=['Proposal', 'Summary (including SBC)'], id=None)", |
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"feat_CarrierName": "Value(dtype='string', id=None)", |
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"feat_ProductTypes": "Value(dtype='string', 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 | 15 | |
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| valid | 5 | |
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