metadata
task_categories:
- text-classification
AutoTrain Dataset for project: docid
Dataset Description
This dataset has been automatically processed by AutoTrain for project docid.
Languages
The BCP-47 code for the dataset's language is unk.
Dataset Structure
Data Instances
A sample from this dataset looks as follows:
[
{
"text": "MetLife-Walker Information_HI_2023.3.29_14.17_C_B (1).docx.pdf",
"feat_url": "datasaur://static/5732/2a298b78-1c2c-4ff8-ad49-357670dd5ea7.pdf",
"target": 0,
"feat_CarrierName": "Met Life",
"feat_ProductTypes": "Hospital Indemnity"
},
{
"text": "Cima Telecom Inc_Prop (002)_ (2).docx.pdf",
"feat_url": "datasaur://static/5732/8adee066-55c4-4f8d-8dcd-53d5fdb42732.pdf",
"target": 0,
"feat_CarrierName": "Met Life",
"feat_ProductTypes": "Basic Life;Basic AD&D;Voluntary Life;Voluntary AD&D;Voluntary Dependent AD&D;Short-term Disability;Long-term Disability;Dental;Vision"
}
]
Dataset Fields
The dataset has the following fields (also called "features"):
{
"text": "Value(dtype='string', id=None)",
"feat_url": "Value(dtype='string', id=None)",
"target": "ClassLabel(names=['Proposal', 'Summary (including SBC)'], id=None)",
"feat_CarrierName": "Value(dtype='string', id=None)",
"feat_ProductTypes": "Value(dtype='string', id=None)"
}
Dataset Splits
This dataset is split into a train and validation split. The split sizes are as follow:
| Split name | Num samples |
|---|---|
| train | 15 |
| valid | 5 |