Published March 27, 2023 | Version v1
Dataset Restricted

unarXive: All arXiv Publications Pre-Processed for NLP, Including Structured Full-Text and Citation Network (full)

  • 1. Karlsruhe Institute of Technology

Description

Description

unarXive is a scholarly data set containing publications' structured full-text, annotated in-text citations, linked non-text content (mathematical notation, figure/table captions) and a citation network.

The data is generated from all LaTeX sources on arXiv and therefore of higher quality than data generated from PDF files.

Typical uses are

  • Training of ML models (citation recommendation, summarization, LLMs)
  • Citation context analysis
  • Bibliographic analyses

Access

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To download the whole data set send an access request and note the following:

Note: this Zenodo record is the "full" version of unarXive, which was generated from all of arXiv.org including non-permissively licensed papers. Make sure that your use of the data is compliant with the paper's licensing terms.¹
Alternatively you can use the unarXive open subset.

¹ For information on papers' licenses use arXiv's bulk metadata access.

The code for generating the data set is publicly available.

Files

Restricted

The record is publicly accessible, but files are restricted to users with access.

Request access

If you would like to request access to these files, please fill out the form below.

You need to satisfy these conditions in order for this request to be accepted:

Ensure that your use of the data is compliant with the individual paper’s license terms. For information on papers’ licenses use arXiv’s bulk metadata access.

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Additional details

Related works

Is described by
Conference paper: 10.1109/JCDL57899.2023.00020 (DOI)
Is new version of
Dataset: 10.5281/zenodo.2553522 (DOI)

Subjects

Natural Language Processing
https://www.wikidata.org/wiki/Q30642
Data Set
https://www.wikidata.org/wiki/Q1172284
unarXive: A Large Scholarly Data Set with Publications' Full-Text, Annotated In-Text Citations, and Links to Metadata
https://www.wikidata.org/wiki/Q106864121