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SoFAIR Project Dataset - An annotated dataset of software mentions in full text scientific articles.

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Version 2 2025-11-17, 11:29
Version 1 2025-11-07, 09:53
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posted on 2025-11-17, 11:29 authored by David PrideDavid Pride, Matteo CancellieriMatteo Cancellieri, Petr Knoth, Cezary Rosinski, Tomasz Umerle, Ewa Rudnicka, Alain Monteil, Luca Foppiano, Martin Docekal, Samuel Scalbert, Laurent RomaryLaurent Romary, Marcin Oleksy
<p dir="ltr">This is a multidisciplinary dataset of research papers, annotated with software mentions, built by the SoFAIR project in collaboration with the CLARIN-PL team. The SoFAIR project aims to support the reproducibility of research and the reuse of data and to recognise the contribution of software developers. The dataset was created through a workflow consisting of text selection, automatic pre-annotation of documents using the Softcite software-mentions tool and manual gold standard annotation. The dataset contains more than 9,000 software mentions, divided into 10 categories, as well as more than 2,000 relationships between mentions, which come from almost 500 texts belonging to 18 scientific disciplines. The dataset presented here contains detailed data and statistics that can be used to evaluate language models or to further develop software extraction tools. The dataset is available in TEI XML format and has been made available under a CC-BY license.</p><p dir="ltr">This dataset was created as part of the project "Making Software FAIR: A machine-assisted workflow for the research software lifecycle”, under the program CHIST-ERA Open & Re-usable Research Data & Software (CHIST-ERA-22-ORD-08). </p><p dir="ltr"><br></p>

Funding

EPSRC - Grant Number : EP/Y036352/1 (The Open University)

ANR - Grant Number: ANR-23-CHRO-0003 (INRIA)

TAČR - Grant Number: TH86010002 (Brno University of Technology)

National Science Center, Poland - Project Number 2022/04/Y/HS2/00182 (Polish Academy of Sciences - IBL-PAN)

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Research Group

  • Big Scientific Data and Text Analytics Group (BSDTAG)

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    Faculty of Science, Technology, Engineering and Mathematics (STEM)

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