distilabel-internal-testing/test-distiset-extra-info

---
size_categories: n<1K
config_names:
- load_data
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 test-distiset-extra-info

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/distilabel-internal-testing/test-distiset-extra-info/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
❯ distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/test-distiset-extra-info/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"completion": "The Beatles are widely credited with starting the British Invasion, a wave of rock and roll bands from the United Kingdom that became popular in America in the 1960s. If the Beatles had never formed, this musical movement may have never happened, and the world may have been exposed to a different kind of music. So, without the Beatles\u2019 fame and success, other bands wouldn\u2019t have been able to break into the American music scene and create a wider range of sounds. We could have ended up with a less interesting mix of songs playing on the radio.",
"instruction": "What if the Beatles had never formed as a band?"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/test-distiset-extra-info", "load_data")
```

</details>

---
size_categories: 样本量小于1000
config_names:
- load_data
tags:
- 合成数据集
- Distilabel（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="基于Distilabel构建" width="200" height="32"/>
</a>
</p>

# test-distiset-extra-info 数据集卡片

本数据集由 [Distilabel（distilabel）](https://distilabel.argilla.io/) 构建。

## 数据集概览

本数据集包含一个 `pipeline.yaml` 文件，可通过 `distilabel` 命令行界面（CLI）复现生成该数据集的Distilabel流水线：

console
❯ distilabel pipeline run --config "https://huggingface.co/datasets/distilabel-internal-testing/test-distiset-extra-info/raw/main/pipeline.yaml"

或查看该配置文件：

console
❯ distilabel pipeline info --config "https://huggingface.co/datasets/distilabel-internal-testing/test-distiset-extra-info/raw/main/pipeline.yaml"

## 数据集结构

每种配置下的数据样本结构如下：

<details><summary> 配置：load_data </summary><hr>

json
{
"completion": "披头士乐队被广泛认为开启了英国入侵浪潮——一支1960年代在美国走红的英国摇滚乐队风潮。倘若披头士从未组建，这场音乐运动或许就不会出现，世界可能接触到截然不同的音乐类型。因此，若无披头士的名气与成就，其他乐队便无法打入美国音乐市场，也无法创造更丰富的声音维度。我们最终可能只能在电台听到趣味性更低的歌曲组合。",
"instruction": "倘若披头士从未组建乐队，将会如何？"
}

该子集可通过如下方式加载：

python
from datasets import load_dataset

ds = load_dataset("distilabel-internal-testing/test-distiset-extra-info", "load_data")

</details>