libretexts

# LibreTexts

## Description
[LibreTexts](https://libretexts.org) is an online platform that provides a catalog of over 3,000 open-access textbooks.
To collect openly licensed content from LibreTexts we gather links to all textbooks in the catalog and check each each textbook section for a license statement indicating that it is in the public domain or under a CC BY, CC BY-SA, or the GNU Free Documentation License.
We extract plaintext from these textbook sections directly from the HTML pages hosted on the LibreTexts website.
Per-document license information is available in the `license` entry of the `metadata` field of each example.
Code for collecting, processing, and preparing this dataset is available in the [common-pile GitHub repo](https://github.com/r-three/common-pile).

## Dataset Statistics
| Documents | UTF-8 GB |
|-----------|----------|
| 62,269 | 5.3 |

## License Issues
While we aim to produce datasets with completely accurate licensing information, license laundering and inaccurate metadata can cause us to erroneously assign the incorrect license to some documents (for further discussion of this limitation, please see [our paper](https://huggingface.co/papers/2506.05209)). If you believe you have found an instance of incorrect licensing in this dataset, please [start a discussion](https://github.com/r-three/common-pile/discussions/new) on this repository.

## Other Versions
This is the "raw" version of the LibreTexts dataset.
If you are looking for the filtered version used to train [Comma v0.1](https://huggingface.co/common-pile/comma-v0.1), you can find it [here](https://huggingface.co/datasets/common-pile/libretexts_filtered).

## Citation
If you use this dataset, please cite:
```bibtex
@article{kandpal2025common,
title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
author={Nikhil Kandpal and Brian Lester and Colin Raffel and Sebastian Majstorovic and Stella Biderman and Baber Abbasi and Luca Soldaini and Enrico Shippole and A. Feder Cooper and Aviya Skowron and Shayne Longpre and Lintang Sutawika and Alon Albalak and Zhenlin Xu and Guilherme Penedo and Loubna Ben and Elie Bakouch and John David and Honglu Fan and Dashiell Stander and Guangyu Song and Aaron Gokaslan and John Kirchenbauer and Tom Goldstein and Brian R and Bhavya Kailkhura and Tyler Murray},
journal={arXiv preprint},
year={2025}
}
```

# LibreTexts

## 描述

LibreTexts（https://libretexts.org）是一个在线平台，提供包含3000余本开放获取教科书的馆藏目录。
为从LibreTexts采集开放授权内容，我们首先采集该目录下所有教科书的链接，并逐一检查每个教科书章节的授权声明，以确认其属于公有领域（public domain），或采用CC BY、CC BY-SA或GNU自由文档许可证（GNU Free Documentation License）。
我们直接从LibreTexts网站托管的HTML页面中，提取这些教科书章节的纯文本内容。
通过每个样本的元数据（metadata）字段中的`license`条目，即可获取单文档的授权信息。
本数据集的采集、处理与制备代码，可在[common-pile GitHub仓库](https://github.com/r-three/common-pile)获取。

## 数据集统计

| 文档数量 | UTF-8编码存储大小（GB） |
|-----------|--------------------------|
| 62,269 | 5.3 |

## 授权问题

尽管我们致力于打造授权信息完全准确的数据集，但授权洗白（license laundering）与元数据不准确的问题，可能导致我们为部分文档错误分配了不当授权。如需进一步讨论该局限性，请参阅[我们的论文](https://huggingface.co/papers/2506.05209)。若您发现本数据集中存在授权信息错误的案例，请前往本仓库[发起讨论](https://github.com/r-three/common-pile/discussions/new)。

## 其他版本

本版本为LibreTexts数据集的「原始版」。若您需查找用于训练[Comma v0.1](https://huggingface.co/common-pile/comma-v0.1)的过滤版数据集，可访问[此处](https://huggingface.co/datasets/common-pile/libretexts_filtered)。

## 引用

若您使用本数据集，请引用如下文献：
bibtex
@article{kandpal2025common,
title={{The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text}},
author={Nikhil Kandpal and Brian Lester and Colin Raffel and Sebastian Majstorovic and Stella Biderman and Baber Abbasi and Luca Soldaini and Enrico Shippole and A. Feder Cooper and Aviya Skowron and Shayne Longpre and Lintang Sutawika and Alon Albalak and Zhenlin Xu and Guilherme Penedo and Loubna Ben and Elie Bakouch and John David and Honglu Fan and Dashiell Stander and Guangyu Song and Aaron Gokaslan and John Kirchenbauer and Tom Goldstein and Brian R and Bhavya Kailkhura and Tyler Murray},
journal={arXiv preprint},
year={2025}
}