five

biodiversity_heritage_library

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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/biodiversity_heritage_library
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# Biodiversity Heritage Library ## Description The [Biodiversity Heritage Library](https://www.biodiversitylibrary.org) (BHL) is an open-access digital library for biodiversity literature and archives. This dataset contains over 42 million public domain books and documents from the BHL collection. These works were collected using the [bulk data download interface](https://about.biodiversitylibrary.org/tools-and-services/developer-and-data-tools/#Data%20Exports) provided by the BHL and were filtered based on their associated license metadata. We use the optical character recognition (OCR)-generated text distributed by BHL. 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 | |-----------|----------| | 42,418,498 | 96 | ## 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 Biodiversity Heritage Library 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/biodiversity_heritage_library_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} } ```

# 生物多样性遗产图书馆(Biodiversity Heritage Library,BHL) ## 数据集描述 [生物多样性遗产图书馆(Biodiversity Heritage Library,BHL)](https://www.biodiversitylibrary.org)是面向生物多样性文献与档案的开放获取数字图书馆。本数据集包含来自BHL馆藏的超过4200万件公有领域图书与文献。这些文献通过BHL提供的[批量数据下载接口](https://about.biodiversitylibrary.org/tools-and-services/developer-and-data-tools/#Data%20Exports)收集,并依据其关联的许可元数据进行了筛选。我们采用BHL分发的光学字符识别(Optical Character Recognition,OCR)生成文本。本数据集的收集、处理与制备代码可在[common-pile GitHub仓库](https://github.com/r-three/common-pile)中获取。 ## 数据集统计信息 | 文献数量 | UTF-8 存储量(GB) | |-----------|---------------------| | 42,418,498 | 96 | ## 许可相关说明 尽管我们致力于生成许可信息完全准确的数据集,但许可洗白与元数据不准确的问题可能导致我们为部分文献错误分配了错误的许可协议(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))。若您发现本数据集内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 本版本为生物多样性遗产图书馆数据集的「原始版」。若您需查找用于训练[Comma v0.1](https://huggingface.co/common-pile/comma-v0.1)的筛选后版本,可通过[此链接](https://huggingface.co/datasets/common-pile/biodiversity_heritage_library_filtered)获取。 ## 引用方式 若您使用本数据集,请引用如下文献: 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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