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: 136718
    num_examples: 500
  download_size: 66829
  dataset_size: 136718
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-distiset2

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-distiset2/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/SwetaJena/my-distiset2/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": null,
    "text": "I\u0027m writing to inform you that my credit card account has been open for over 5 years now, and I\u0027d like to confirm that my current credit limit is still $5,000. I\u0027ve been diligently making my payments on time, and I\u0027m concerned that the recent changes in interest rates may have affected my available credit. Could you please provide me with an update on my account status and the current interest rate applicable to my account?"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("SwetaJena/my-distiset2", "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-distiset2")
```


</details>




