task_categories:text-classification region:us
---
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:

```json
[
  {
    "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"):

```json
{
  "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 |
