size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif datacraft
---
size_categories: n<1K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': incident-report
          '1': donation
          '2': mortgage
          '3': application
          '4': evaluation
          '5': medical
          '6': reservation
          '7': contact
          '8': loan
          '9': assessment
          '10': membership
          '11': consent
          '12': inventory
          '13': government
          '14': order
          '15': tax
          '16': employment
          '17': legal
          '18': educational
          '19': survey
          '20': insurance
          '21': feedback
          '22': authorization
          '23': identification
          '24': event-registration
          '25': travel
          '26': checklist
          '27': complaint
          '28': subscription
          '29': financial
  splits:
  - name: train
    num_bytes: 42266
    num_examples: 100
  download_size: 28619
  dataset_size: 42266
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
---

<p align="left">
  <a href="https://github.com/argilla-io/distilabel">
    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
  </a>
</p>

# Dataset Card for form-descriptions

This dataset has been created with [distilabel](https://distilabel.argilla.io/).



## Dataset Summary

This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:

```console
distilabel pipeline run --config "https://huggingface.co/datasets/daver987/form-descriptions/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/daver987/form-descriptions/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


<details><summary> Configuration: default </summary><hr>

```json
{
    "label": 3,
    "text": "A form is a document or a digital file that collects personal or sensitive information from an individual, typically for official or business purposes. It may include fields for name, address, date of birth, social security number, or other identifying details. Some forms may require signatures, wet stamps, or other authentication methods to ensure validity and prevent tampering. In an office setting, a receptionist may use a form to gather contact information from visitors, while a healthcare professional might use a form to document patient medical history and allergies."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("daver987/form-descriptions", "default")
```

Or simply as it follows, since there's only one configuration and is named `default`: 

```python
from datasets import load_dataset

ds = load_dataset("daver987/form-descriptions")
```


</details>




