asoria/distilabel-test

---
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>

原始信息汇总

数据集概述

数据集信息

• 大小分类: 小于1KB
• 特征:
  • instruction: 数据类型为字符串
  • model_name: 数据类型为字符串
  • generation: 数据类型为字符串
• 分割:
  • train: 大小为697字节，包含1个示例
• 下载大小: 6316字节
• 数据集大小: 697字节

配置

• config_name: default
• data_files:
  • split: train
  • path: data/train-*

标签

• synthetic
• distilabel
• rlaif