task_categories:
- text-generation
language:
- en
pretty_name: ArXiv Abstracts
ArXiv Abstracts
Description
Each paper uploaded to ArXiv includes structured metadata fields, including an abstract summarizing the paper’s findings and contributions. According to ArXiv’s licensing policy, the metadata for any paper submitted to ArXiv is distributed under the CC0 license, regardless of the license of the paper itself. Thus, this dataset contains the abstract for every paper submitted to ArXiv through late 2024. We source the abstracts from ArXiv’s API via the Open Archives Initiative Protocol for Metadata Harvesting endpoint and reproduce them as-is. Code for collecting, processing, and preparing this dataset is available in the common-pile GitHub repo.
Dataset Statistics
| Documents | UTF-8 GB |
|---|---|
| 2,504,679 | 2.4 |
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). If you believe you have found an instance of incorrect licensing in this dataset, please start a discussion on this repository.
Other Versions
This is the "filtered" version of the ArXiv Abstracts dataset. If you are looking for the raw version, you can find it here.
Citation
If you use this dataset, please cite:
@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}
}