---
size_categories: n<1K
dataset_info:
  features:
  - name: text
    dtype: string
  - name: label
    dtype:
      class_label:
        names:
          '0': games
          '1': home_and_garden
          '2': news
          '3': shopping
          '4': law_and_government
          '5': business_and_industrial
          '6': computer_and_electronic
          '7': jobs_and_education
          '8': health
          '9': real_estate
          '10': people_and_society
          '11': internet_and_telecom
          '12': travel_and_transportation
          '13': finance
          '14': sensitive_subjects
          '15': beauty_and_fitness
          '16': arts_and_entertainment
          '17': sport
          '18': autos_and_vehicles
  splits:
  - name: train
    num_bytes: 349392
    num_examples: 998
  download_size: 188787
  dataset_size: 349392
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-dacfadf3

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/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/khoantap/my-distiset-dacfadf3/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 8,
    "text": "Regular exercise and a balanced diet are crucial in preventing various chronic illnesses. Understanding the nutritional value of foods can help individuals make informed choices that contribute to overall wellness. Additionally, mental health awareness plays a significant role in maintaining a healthy lifestyle."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("khoantap/my-distiset-dacfadf3", "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("khoantap/my-distiset-dacfadf3")
```


</details>