doab_filtered

# Directory of Open Access Books

## Description
The [Directory of Open Access Books](https://www.doabooks.org) (DOAB) is an online index of over 94,000 peer-reviewed books curated from trusted open-access publishers.
To collect the openly licensed content from DOAB, we retrieve metadata using their [official metadata feed](https://www.doabooks.org/en/doab/metadata-harvesting-and-content-dissemination).
We then filter the collection to include only English-language books released under CC BY and CC BY-SA licenses.
The filtered books are downloaded in PDF format and converted to plaintext using the [Marker](https://github.com/VikParuchuri/marker) PDF-to-text converter.
As an additional validation step, we manually create a whitelist of open license statements and retain only texts explicitly containing one of these statements in their front- or back-matter.
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 |
|------------|-----------|
| 403,992 | 12 |

## 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 DOAB dataset. If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/doab_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}
}
```

# 开放获取图书目录（Directory of Open Access Books，DOAB）
## 描述
[开放获取图书目录（Directory of Open Access Books，DOAB）](https://www.doabooks.org) 是一个在线索引平台，收录了来自可信开放获取出版社的94000余本经过同行评审（peer-reviewed）的图书。
为从DOAB获取开放许可内容，我们通过其[官方元数据（metadata）供稿接口](https://www.doabooks.org/en/doab/metadata-harvesting-and-content-dissemination)检索元数据。随后我们对采集到的合集进行筛选，仅保留采用CC BY及CC BY-SA许可协议发布的英文图书。
筛选后的图书以PDF格式下载，并使用[Marker](https://github.com/VikParuchuri/marker) PDF转文本工具转换为纯文本格式。作为额外的验证步骤，我们手动构建了开放许可声明白名单，仅保留在正文前后部分明确包含该白名单中某条许可声明的文本。每个样本的`metadata`字段下的`license`条目均包含单文档的许可信息。用于采集、处理及制备本数据集的代码可在[common-pile GitHub仓库](https://github.com/r-three/common-pile)中获取。

## 数据集统计
| 文档总数 | UTF-8 总容量（GB） |
|---------|-------------------|
| 403,992 | 12 |

## 许可相关问题
尽管我们致力于确保本数据集的许可信息完全准确，但许可洗白（license laundering）及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许可。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)。若您发现本数据集存在许可信息错误的情况，请在本仓库[发起讨论](https://github.com/r-three/common-pile/discussions/new)。

## 其他版本
本数据集为DOAB数据集的「筛选后版本」。若您需要原始版本，可在此处获取：https://huggingface.co/datasets/common-pile/doab_raw。

## 引用说明
若您使用本数据集，请引用以下文献：
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}
}