aimlresearch2023/distilabel_3

---
size_categories: n<1K
dataset_info:
features:
- name: instruction
dtype: string
- name: generations
sequence: 'null'
- name: generation_models
sequence: string
- name: ratings
sequence: 'null'
- name: rationales
sequence: 'null'
splits:
- name: train
num_bytes: 59771
num_examples: 100
download_size: 34956
dataset_size: 59771
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_3

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/aimlresearch2023/distilabel_3/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/aimlresearch2023/distilabel_3/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"generation_models": [
"microsoft/Phi-3-mini-128k-instruct",
"microsoft/Phi-3-mini-128k-instruct"
],
"generations": [
null,
null
],
"instruction": "Provide step-by-step instructions on how to make a safe and effective homemade all-purpose cleaner from common household ingredients. The guide should include measurements, tips for storing the cleaner, and additional variations or scents that can be added. Additionally, the guide should be written in clear and concise language, with helpful visuals or photographs to aid in the process.",
"ratings": [
null,
null
],
"rationales": [
null,
null
]
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("aimlresearch2023/distilabel_3", "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("aimlresearch2023/distilabel_3")
```

</details>

原始信息汇总

数据集概述

基本信息

• 数据集名称: distilabel_3
• 大小分类: 小于1KB
• 下载大小: 34956字节
• 数据集大小: 59771字节

数据集内容

• 特征:
  • instruction: 字符串类型
  • generations: 序列类型，值为null
  • generation_models: 序列类型，字符串
  • ratings: 序列类型，值为null
  • rationales: 序列类型，值为null

数据集结构

• 分割:
  • train:
    • 字节数: 59771
    • 示例数: 100

配置

• 默认配置:
  • 数据文件:
    • 分割: train
    • 路径: data/train-*

加载方式

• 使用以下代码加载数据集: python from datasets import load_dataset ds = load_dataset("aimlresearch2023/distilabel_3")