defunct-datasets/the_pile_stack_exchange

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license:
- cc-by-sa-4.0
multilinguality:
- monolingual
pretty_name: Stack Exchange
size_categories:
- 1M<n<10M
source_datasets:
- original
task_categories:
- text-generation
- fill-mask
task_ids:
- language-modeling
- masked-language-modeling
dataset_info:
features:
- name: domain
dtype: string
- name: text
dtype: string
config_name: plain_text
splits:
- name: train
num_bytes: 11075434609
num_examples: 5096117
download_size: 36802959360
dataset_size: 11075434609
viewer: false
---

# Dataset Card for Stack Exchange

## Table of Contents
- [Dataset Card for Stack Exchange](#dataset-card-for-the_pile_stack_exchange)
- [Table of Contents](#table-of-contents)
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#data-instances)
- [Data Fields](#data-fields)
- [Data Splits](#data-splits)
- [|split|num examples|](#splitnum-examples)
- [Dataset Creation](#dataset-creation)
- [Curation Rationale](#curation-rationale)
- [Source Data](#source-data)
- [Initial Data Collection and Normalization](#initial-data-collection-and-normalization)
- [Who are the source language producers?](#who-are-the-source-language-producers)
- [Annotations](#annotations)
- [Annotation process](#annotation-process)
- [Who are the annotators?](#who-are-the-annotators)
- [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
- [Social Impact of Dataset](#social-impact-of-dataset)
- [Discussion of Biases](#discussion-of-biases)
- [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
- [Dataset Curators](#dataset-curators)
- [Licensing Information](#licensing-information)
- [Citation Information](#citation-information)
- [Contributions](#contributions)

## Dataset Description

- **Homepage:** [GitHub](https://github.com/EleutherAI/stackexchange-dataset)
- **Repository:** [Needs More Information]
- **Paper:** [arXiv](https://arxiv.org/abs/2101.00027)
- **Leaderboard:** [Needs More Information]
- **Point of Contact:** [Needs More Information]

### Dataset Summary

<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
<p><b>Defunct:</b> Dataset "the_pile_stack_exchange" is defunct and no longer accessible due to unavailability of the source data.</p>
</div>

This dataset is part of EleutherAI/The Pile dataset and is a dataset for Language Models from processing stackexchange data dump, which is an anonymized dump of all user-contributed content on the Stack Exchange network.

|download_size|34.28 Gib|
|dataset_size|10.3 Gib|

### Supported Tasks and Leaderboards

The dataset is used for Language Modeling.

### Languages

The dataset is in English.

## Dataset Structure

### Data Instances

```
{'domain': 'chemistry',
'text':"\nQ: \n \nReviving old questions or asking a new one? \n \nI'm relatively new to the Chemistry SE community, and sometimes when I go to ask a question, I notice that the same (or similar) question has \nalready been asked. However, the previous question doesn't have a good answer (or is unanswered). In this case, is it better to ask the questi\non again in a new post (which might be marked as duplicate) or comment on the old post (which might be several years old)? In other words, wha\nt are the customs of this site in regards to reviving old questions/discussions?\n\nA:\n\nAs Martin commented, it really depends on the type of question. In any case, you always have the following possibilities:\n\nAsk a new question\nEdit the question to bump it to the first page\nAdd a bounty\nBring it to the attention of people in chat\n\nConsider the following cases:\n\nI have exactly the same question as asked and unanswered before!\n\nIf you ask a new question which turns out to be the same question, it may be closed as a dupe (depending on whether users remember the old que\nstion). Not the ideal option.\nIf you can find something substantial to edit and bump the question, do so. Maybe add a comment that you would really love an answer.\nIf you can spare some rep for a bounty (50 is usually enough), do so.\nYou can always bring it to the attention of people in chat.\n",}
```

### Data Fields

- `domain`: Stack Exchange domain of the sample
- `text`: Text content containing both the question and the answer

### Data Splits

|split|num examples|
--------------------------------
|train|5096117|

## Dataset Creation

### Curation Rationale

[Needs More Information]

### Source Data

#### Initial Data Collection and Normalization

[Needs More Information]

#### Who are the source language producers?

[Needs More Information]

### Annotations

#### Annotation process

[Needs More Information]

#### Who are the annotators?

[Needs More Information]

### Personal and Sensitive Information

[Needs More Information]

## Considerations for Using the Data

### Social Impact of Dataset

[Needs More Information]

### Discussion of Biases

[Needs More Information]

### Other Known Limitations

[Needs More Information]

## Additional Information

### Dataset Curators

[Needs More Information]

### Licensing Information

[Needs More Information]

### Citation Information

```
@article{pile,
title={The {P}ile: An 800GB Dataset of Diverse Text for Language Modeling},
author={Gao, Leo and Biderman, Stella and Black, Sid and Golding, Laurence and Hoppe, Travis and Foster, Charles and Phang, Jason and He, Horace and Thite, Anish and Nabeshima, Noa and Presser, Shawn and Leahy, Connor},
journal={arXiv preprint arXiv:2101.00027},
year={2020}
}
```

### Contributions
Thanks to [sdtblck](https://github.com/sdtblck) for creating the dataset.
Thanks to [richarddwang](https://github.com/richarddwang) for adding the dataset.

原始信息汇总

数据集概述

数据集描述

数据集摘要

该数据集是EleutherAI/The Pile数据集的一部分，由Stack Exchange网络上的用户贡献内容匿名化处理而成，用于语言模型训练。

支持的任务和排行榜

该数据集主要用于语言建模任务。

语言

数据集中的内容为英语。

数据集结构

数据实例

数据实例包含一个示例，其中包含领域（domain）和文本（text）字段。

数据字段

• domain: 字符串类型，表示Stack Exchange的领域。
• text: 字符串类型，包含问题和答案的文本内容。

数据分割

数据集仅包含训练集，包含5,096,117个样本。

数据集创建

数据集来源

数据集来源于Stack Exchange网络的匿名化数据。

数据集信息

• annotations_creators: 无标注
• language_creators: 发现
• language: 英语
• license: CC BY-SA 4.0
• multilinguality: 单语种
• pretty_name: Stack Exchange
• size_categories: 1M<n<10M
• source_datasets: 原始数据
• task_categories: 文本生成、填充掩码
• task_ids: 语言建模、掩码语言建模

数据集配置

• features:
  • domain: 字符串类型
  • text: 字符串类型
• config_name: plain_text
• splits:
  • train: 11,075,434,609字节，5,096,117个样本
• download_size: 36,802,959,360字节
• dataset_size: 11,075,434,609字节