library_of_congress

# Library of Congress (subset of Common Pile)

## Description
The Library of Congress (LoC) curates a collection of public domain books called ["Selected Digitized Books"](https://www.loc.gov/collections/selected-digitized-books/).
We have downloaded over 130,000 English-language books from this public domain collection as OCR plain text files using the [LoC APIs](https://www.loc.gov/apis/).
This dataset is a subset of the Common Pile v0.1. For more information, see [The Common Pile v0.1 paper](https://huggingface.co/papers/2506.05209).

## Dataset Statistics
| Documents | UTF-8 GB |
|-----------|----------|
| 135,500 | 47.8 |

## 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.
The overall license for this dataset is intended to be CC-BY-4.0, but this is not a guarantee for individual documents within the dataset.

Github: https://github.com/r-three/common-pile

## Other Versions
This is the "raw" version of the Library of Congress 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/library_of_congress_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}
}
```

# 美国国会图书馆（Common Pile子集）

## 数据集描述
美国国会图书馆（Library of Congress，LoC）整理了一套名为《精选数字化图书》（"Selected Digitized Books"）的公共域图书馆藏，访问链接为[https://www.loc.gov/collections/selected-digitized-books/](https://www.loc.gov/collections/selected-digitized-books/)。我们通过[LoC应用程序接口（LoC APIs）](https://www.loc.gov/apis/)从该公共域馆藏中下载了超过13万本英文图书，存储格式为光学字符识别（Optical Character Recognition，OCR）纯文本文件。本数据集为Common Pile v0.1的子集，如需了解更多信息，请参阅[《Common Pile v0.1研究论文》](https://huggingface.co/papers/2506.05209)。

## 数据集统计
| 文档数量 | UTF-8 吉字节 |
|-----------|----------|
| 135,500 | 47.8 |

## 许可证说明
尽管我们致力于生成许可证信息完全准确的数据集，但许可证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地指派了错误的许可证（如需进一步讨论该局限性，请参阅[我们的研究论文](https://huggingface.co/papers/2506.05209)）。若您认为本数据集存在许可证信息错误的案例，请在本仓库[发起讨论](https://github.com/r-three/common-pile/discussions/new)。本数据集的整体许可证为CC-BY-4.0，但该许可证并不适用于数据集内的单份文档。

GitHub仓库：[https://github.com/r-three/common-pile](https://github.com/r-three/common-pile)

## 其他版本
本版本为美国国会图书馆数据集的「原始版」。若您寻找用于训练Comma v0.1的过滤版数据集，请点击[此处](https://huggingface.co/datasets/common-pile/library_of_congress_filtered)获取。

## 引用方式
若您使用本数据集，请引用如下：
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}
}