davanstrien/wikipedia_split-abstract

---
size_categories: n<1K
dataset_info:
features:
- name: anchor
dtype: string
- name: positive
dtype: string
- name: negative
dtype: string
- name: generation
dtype: string
splits:
- name: train
num_bytes: 4148700
num_examples: 3650
download_size: 2536265
dataset_size: 4148700
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
---

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<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 wikipedia_split-abstract

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/davanstrien/wikipedia_split-abstract/raw/main/pipeline.yaml"
```

or explore the configuration:

```console
distilabel pipeline info --config "https://huggingface.co/datasets/davanstrien/wikipedia_split-abstract/raw/main/pipeline.yaml"
```

## Dataset structure

The examples have the following structure per configuration:

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

```json
{
"anchor": "In promotion of In My Skin screening at MoMA, Screen Slate critic Elizabeth Horkley wrote of its contemporary relevance: \"Far from a product of Munchausen\u2019s syndrome, Esther\u2019s need to self harm seems to stem from a desire to be the sole caretaker\u2014and decision maker\u2014for her body. The parallels to issues of bodily autonomy are explicit.\"\n Brinkema, Eugenie. (2009) \u2018To cut, to split, to touch, to eat, as of a body or a text\u2019, Angelaki: Journal of the Theoretical Humanities, 14(3), pp.",
"generation": "{\"bad\": [\"A review of a historical film screening at MoMA\", \"A discussion on the psychological aspects of self-harm\", \"An analysis of Munchausen\u0027s syndrome in contemporary society\"],\"good\": [\"A critic\u0027s perspective on the contemporary relevance of a film\", \"Exploration of a character\u0027s need for bodily autonomy\", \"Parallels drawn between self-harm and the desire for control over one\u0027s body\"]}",
"negative": "A review of a historical film screening at MoMA",
"positive": "A critic\u0027s perspective on the contemporary relevance of a film"
}
```

This subset can be loaded as:

```python
from datasets import load_dataset

ds = load_dataset("davanstrien/wikipedia_split-abstract", "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("davanstrien/wikipedia_split-abstract")
```

</details>

原始信息汇总

数据集概述

数据集基本信息

• 数据集大小: 小于1K个样本
• 下载大小: 2536265字节
• 数据集总大小: 4148700字节

数据集特征

• anchor: 字符串类型
• positive: 字符串类型
• negative: 字符串类型
• generation: 字符串类型

数据集分割

• 训练集:
  • 样本数量: 3650
  • 数据大小: 4148700字节

数据集配置

• 配置名称: default
• 数据文件路径: data/train-*

数据集加载示例

python from datasets import load_dataset

ds = load_dataset("davanstrien/wikipedia_split-abstract")