five

pressbooks_filtered

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魔搭社区2025-07-16 更新2025-06-14 收录
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https://modelscope.cn/datasets/common-pile/pressbooks_filtered
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# PressBooks ## Description [PressBooks](https://pressbooks.com) is a searchable catalog of over 8,000 open access books. To collect openly licensed content from PressBooks we construct a search query to retrieve URLs for all books written in English and listed as public domain or under CC BY or CC BY-SA licenses. For each matched book, we collect its contents directly from the publicly available web version provided by PressBooks. 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 | |-----------|----------| | 54,455 | 0.6 | ## 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 PressBooks dataset. If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/pressbooks_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} } ```

# PressBooks ## 描述 [PressBooks](https://pressbooks.com) 是一个可检索的馆藏目录,收录超过8000本开放获取(open access)图书。 为从PressBooks平台获取开放许可内容,我们构建了检索查询,以获取所有以英语撰写、标注为公共领域(public domain)或采用CC BY、CC BY-SA许可协议的图书的URL。 针对每一本匹配到的图书,我们直接从PressBooks提供的公开可用网页版本中采集其内容。 单篇文档的许可信息,可在每一条数据样例的`metadata`(元数据)字段下的`license`条目中获取。 本数据集的采集、处理与预处理代码,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 | UTF-8 编码占用(GB) | |--------|----------------------| | 54,455 | 0.6 | ## 许可相关问题 尽管我们致力于生成许可信息完全准确的数据集,但许可洗白(license laundering)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正确的许可协议。关于此局限性的进一步讨论,请参阅[我们的论文](https://huggingface.co/papers/2506.05209)。 若您发现本数据集中存在许可信息错误的案例,请在本仓库中[发起讨论](https://github.com/r-three/common-pile/discussions/new)。 ## 其他版本 本数据集为PressBooks数据集的「过滤版」。若您需要原始版本,可在[此处](https://huggingface.co/datasets/common-pile/pressbooks_raw)获取。 ## 引用 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
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2025-06-11
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