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': books_and_literature
          '1': arts_and_entertainment
          '2': home_and_garden
          '3': finance
          '4': business_and_industrial
          '5': computers_and_electronics
          '6': health
          '7': food_and_drink
          '8': autos_and_vehicles
          '9': hobbies_and_leisure
          '10': beauty_and_fitness
          '11': adult
          '12': internet_and_telecom
          '13': games
  splits:
  - name: train
    num_bytes: 523422
    num_examples: 439
  download_size: 274906
  dataset_size: 523422
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-be899639

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/serss22/my-distiset-be899639/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/serss22/my-distiset-be899639/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "label": 5,
    "text": "To create a custom Linux distribution from scratch, we will use the Ubuntu base image and modify it according to our needs. We will start by creating a new directory for our project and downloading the necessary tools. We will then download the Ubuntu base image and begin modifying it by creating a new source list file and installing the necessary packages. Next, we will configure the package manager to use our custom source list file and install the latest packages. After that, we will create a custom kernel and install the necessary drivers. We will also create a custom grub configuration file to boot our system. Finally, we will create a live iso image and upload it to our github repository. On github, we will create a new repository and add our iso image to it. We will then create a new branch for our custom distribution and add our iso image to it. We will finally push our changes to our github repository."
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("serss22/my-distiset-be899639", "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("serss22/my-distiset-be899639")
```


</details>




