size_categories:n<1K format:parquet modality:text library:datasets library:pandas library:mlcroissant library:polars library:distilabel region:us synthetic distilabel rlaif
---
size_categories: n<1K
dataset_info:
  features:
  - name: instruction
    dtype: string
  - name: model_name
    dtype: string
  - name: generation
    dtype: string
  splits:
  - name: train
    num_bytes: 697
    num_examples: 1
  download_size: 6316
  dataset_size: 697
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

<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 distilabel-test

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/asoria/distilabel-test/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/asoria/distilabel-test/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:


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

```json
{
    "generation": "In the heart of a dense forest, a magnificent dragon named Tharros lay sleeping, his scales glinting like gold in the dappled sunlight. For centuries, he had slumbered, waiting for the call of adventure to stir him from his slumber.\n\nMeanwhile, in a tower high above the treetops, Princess Sophia languished, a prisoner of the wicked sorcerer, Malakai. The sorcerer had cast a spell of eternal sleep upon the princess, intending to keep her captive until she agreed to marry him.\n\nOne day, a brave knight named Sir Edward stumbled upon the tower while searching for the legendary",
    "instruction": "Write a short story about a dragon that saves a princess from a tower.",
    "model_name": "meta-llama/Meta-Llama-3-70B-Instruct"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("asoria/distilabel-test", "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("asoria/distilabel-test")
```


</details>
