oercommons_filtered

# OERCommons

## Description
[OERCommons](https://oercommons.org) is an online platform where educators share open-access instructional materials—such as textbooks, lesson plans, problem sets, course syllabi, and worksheets—with the goal of expanding access to affordable education.
To collect the openly licensed content available on OERCommons, we construct a search query to retrieve English-language content released into the public domain or under CC BY or CC BY-SA licenses.
The resulting documents are converted to plain text directly from the HTML pages hosted on the OERCommons 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 |
|-----------|----------|
| 5,249 | 0.05 |

## 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 "filtered" version of the OERCommons dataset.
If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/oercommons_raw).

## 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}
}
```

# OERCommons
## 数据集描述
[OERCommons](https://oercommons.org) 是一个在线教育资源共享平台，教育者可在此分享开放获取的教学材料——包括教科书、教案、习题集、课程大纲与作业单等，旨在提升普惠教育的可及性。
为收集OERCommons平台上的开源授权内容，我们构建搜索查询以检索属于公共领域，或采用CC BY、CC BY-SA协议授权的英文内容。
所得文档直接从OERCommons网站托管的HTML页面转换为纯文本格式。
每一条样本的元数据（metadata）字段中的`license`条目，均包含对应文档的授权信息。
用于收集、处理与整理该数据集的代码，可在[common-pile GitHub仓库](https://github.com/r-three/common-pile)中获取。
## 数据集统计
| 文档数量 | UTF-8 吉字节 |
|---------|-------------|
| 5,249 | 0.05 |
## 授权问题
尽管我们致力于生成授权信息完全准确的数据集，但授权洗白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（关于该局限性的进一步讨论，请参阅[我们的论文](https://huggingface.co/papers/2506.05209)）。
若您认为本数据集存在授权信息错误的案例，请前往该仓库[发起讨论](https://github.com/r-three/common-pile/discussions/new)。
## 其他版本
本数据集为OERCommons数据集的「过滤版」。
若您需要原始版本，可在此处获取：[点击前往](https://huggingface.co/datasets/common-pile/oercommons_raw)。
## 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}
}