arxiv_papers

# 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 |
|-----------|----------|
| 321,336 | 21 |

## 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 ArXiv Papers 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/arxiv_papers_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}
}
```

# 阿西预印本论文集（ArXiv Papers）

## 数据集描述
阿西预印本平台（ArXiv）是一个在线开放获取的学术论文仓库，目前收录超过240万篇学术论文，涵盖计算机科学、数学、物理学、定量生物学、经济学等多个领域。
论文作者在上传稿件时，可从多种授权协议中选择其一。
本数据集通过三步流水线流程，收录了采用CC BY、CC BY-SA及CC0授权协议上传的全部论文文本：
第一步，从阿西预印本平台的批量访问S3存储桶（ArXiv’s bulk-access S3 bucket）下载采用开放授权协议的论文的LaTeX源文件；
第二步，使用LATEXML转换工具将这些源文件转换为单份HTML文档；
第三步，使用HTML处理库Trafilatura将HTML格式转换为纯文本格式。
本数据集的采集、处理与制备代码可在common-pile的GitHub仓库（https://github.com/r-three/common-pile）获取。

## 数据集统计
| 文档数量 | UTF-8 编码体量（GB） |
|-----------|----------------------|
| 321,336 | 21 |

## 授权协议说明
尽管我们致力于提供完全准确的授权协议信息，但授权洗白（license laundering）与元数据不准确等问题，可能导致我们为部分文档错误分配了不当的授权协议（关于此局限性的详细讨论，请参阅我们的相关论文<https://huggingface.co/papers/2506.05209>）。若您发现本数据集存在授权协议标注错误的情况，请前往本仓库发起讨论：<https://github.com/r-three/common-pile/discussions/new>。

## 其他版本
本数据集为阿西预印本论文集的“原始版”。若您需查找用于训练Comma v0.1模型的过滤版数据集，可前往<https://huggingface.co/datasets/common-pile/arxiv_papers_filtered>获取。

## 引用说明
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}
}