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': travel-assistance
          '1': account-security
          '2': minimum-payment
          '3': account_closure
          '4': subscription-change
          '5': chargeback
          '6': cancel-credit-card
          '7': coupon-offer
          '8': complaint
          '9': password-reset
          '10': cancel-account
          '11': travel-insurance
          '12': card-replacement
          '13': account-status
          '14': lost-or-stolen-card
          '15': billing-cycle
          '16': transaction-history
          '17': downgrade-card
          '18': identity-theft
          '19': charges-dispute
          '20': thank-you
          '21': payment-method
          '22': credit-limit
          '23': suggestion
          '24': interest-rate
          '25': late-fee
  splits:
  - name: train
    num_bytes: 131905
    num_examples: 500
  download_size: 64082
  dataset_size: 131905
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 my-distiset

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/SwetaJena/my-distiset/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/SwetaJena/my-distiset/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": null,
    "text": "Our records indicate that your billing cycle for the month of July has been successfully completed, and your next statement will be available on the 5th of August. You are still on track to meet your payment deadlines and avoid any late fees."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("SwetaJena/my-distiset", "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("SwetaJena/my-distiset")
```


</details>




