five

usgpo

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魔搭社区2025-08-15 更新2025-06-14 收录
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https://modelscope.cn/datasets/common-pile/usgpo
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# USGPO ## Description The United States Government Publishing Office (USGPO) is a federal agency responsible for disseminating official documents authored by the U.S. government. This dataset includes all plain-text documents made available through the USGPO’s GovInfo.gov developer API. This collection comprises over 2.7 million documents, spanning issues of the Federal Register, congressional hearing transcripts, budget reports, economic indicators, and other federal publications. ## Dataset Statistics | Documents | UTF-8 GB | |-----------|----------| | 2,732,677 | 74.5 | ## 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 USGPO 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/usgpo_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} } ```

# USGPO ## 数据集描述 美国政府出版局(United States Government Publishing Office,USGPO)是美国联邦政府机构,负责印发美国政府官方撰写的各类文件。本数据集涵盖USGPO通过GovInfo.gov开发者API对外发布的全部纯文本文档。该数据集总计收录超273万份文档,涵盖《联邦公报(Federal Register)》期刊、国会听证会记录、预算报告、经济指标及其他联邦政府出版物。 ## 数据集统计 | 文档数量 | UTF-8 容量(GB) | |---------|-----------------| | 2,732,677 | 74.5 | ## 许可证问题 尽管我们致力于提供完全准确的许可证信息,但许可证洗白(license laundering)与元数据(metadata)不准确的问题可能导致我们为部分文档错误地分配了错误的许可证。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)。若您发现本数据集存在许可证分配错误的情况,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USGPO数据集的原始版本。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,可前往[此处](https://huggingface.co/datasets/common-pile/usgpo_filtered)获取。 ## 引用格式 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} }
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maas
创建时间:
2025-06-11
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