arxiv_papers_filtered

# ArXiv Papers

## Description
[ArXiv](https://arxiv.org) is an online open-access repository of over 2.4 million scholarly papers covering fields such as computer science, mathematics, physics, quantitative biology, economics, and more.
When uploading papers, authors can choose from a variety of licenses.
This dataset includes text from all papers uploaded under CC BY, CC BY-SA, and CC0 licenses through a three-step pipeline:
first, the latex source files for openly licensed papers were downloaded from [ArXiv’s bulk-access S3 bucket](https://info.arxiv.org/help/bulk_data_s3.html);
next, the [LATEXML](https://math.nist.gov/~BMiller/LaTeXML/manual/intro/) conversion tool was used to convert these source files into a single HTML document;
finally, the HTML was converted to plaintext using the [Trafilatura](https://github.com/adbar/trafilatura) HTML-processing library.
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 |
|-----------|-----------|
| 304,048 | 19 |

## 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 ArXiv Papers dataset. If you are looking for the raw version, you can find it [here](https://huggingface.co/datasets/common-pile/arxiv_papers_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}
}
```

# ArXiv论文数据集

## 数据集描述
[ArXiv]("https://arxiv.org")是一个在线开放获取的学术论文仓库，收录超240万篇学术论文，覆盖计算机科学、数学、物理学、量化生物学、经济学等多个领域。
作者上传论文时，可选择多种许可协议。
本数据集通过三步流程，获取采用CC BY、CC BY-SA及CC0许可协议上传的全部论文文本：
第一步，从[ArXiv批量访问S3存储桶]("https://info.arxiv.org/help/bulk_data_s3.html")下载采用开放许可的论文的LaTeX源文件；
第二步，使用[LATEXML]("https://math.nist.gov/~BMiller/LaTeXML/manual/intro/")转换工具将这些源文件转换为单份HTML文档；
最后，使用[Trafilatura]("https://github.com/adbar/trafilatura") HTML处理库将HTML转换为纯文本。
本数据集的采集、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
| 文档数量 | UTF-8 容量（GB） |
|---------|----------------|
| 304,048 | 19 |

## 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问题可能导致我们错误地为部分文档分配了错误的许可协议（关于该局限性的进一步讨论，请参阅[我们的论文]("https://huggingface.co/papers/2506.05209")）。
若您发现本数据集存在许可信息错误的情况，请在本仓库[发起讨论]("https://github.com/r-three/common-pile/discussions/new")。

## 其他版本
本数据集为ArXiv论文数据集的“过滤版”。若需获取原始版本，可前往[此处]("https://huggingface.co/datasets/common-pile/arxiv_papers_raw")下载。

## 引用格式
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}
}