library_of_congress_filtered

# Library of Congress ## 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/). ## Dataset Statistics | Documents | UTF-8 GB | |-----------|----------| | 129,052 | 35.6 | ## 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 Library of Congress dataset. If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/library_of_congress_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} } ```# 美国国会图书馆（Library of Congress） ## 数据集概述 美国国会图书馆（Library of Congress，简称LoC）整理了一批名为「精选数字化图书（Selected Digitized Books）」的公有领域书籍合集，相关合集可访问[https://www.loc.gov/collections/selected-digitized-books/]查看。本团队通过LoC应用程序编程接口（LoC APIs），从该公有领域合集中下载了超过13万本英文书籍，存储格式为光学字符识别（Optical Character Recognition，OCR）纯文本文件，相关接口文档可访问[https://www.loc.gov/apis/]获取。 ## 数据集统计 | 文档数量 | UTF-8 格式占用空间（GB） | |---------|-------------------------| | 129,052 | 35.6 | ## 许可说明 尽管本团队致力于打造授权信息完全准确的数据集，但由于授权洗白（license laundering）与元数据不准确等问题，可能会导致部分文档被错误分配了不当授权。关于该局限性的详细讨论，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[该仓库](https://github.com/r-three/common-pile/discussions/new)发起讨论。 ## 其他版本 本数据集为美国国会图书馆数据集的「过滤版」。若您需要原始版本，可通过[https://huggingface.co/datasets/common-pile/library_of_congress_raw]获取。 ## 引用规范 若您使用本数据集，请引用以下文献： bibtex @article{kandpal2025common, title={{《通用语料库v0.1：8TB公有领域与开放授权文本数据集》}}, 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} }

搜集汇总

背景与挑战

背景概述

该数据集是国会图书馆公共领域书籍的过滤版本，包含从超过130,000本英文书籍中提取的OCR纯文本，总计约129,052个文档，大小为35.6 GB。