Synthetic Dataset of Citation Strings in 12 Styles

This dataset was produced in the aim of testing different tools for citation string parsing, as part of the experiment reported in the paper: Iana Atanassova and Marc Bertin, 2024. "Breaking Boundaries in Citation Parsing: A Comparative Study of Generative LLMs and Traditional Out-of-the-box Citation Parsers", Bibliometric-enhanced Information Retrieval workshop (BIR), collocated with ECIR 2024, Glasgow, Scotland. Data The data that is provided here is organised as follows: the file citation-strings.zip contains raw citation strings that were generated for each of the 12 citation styles in txt format the file parsers-output.csv contains the output that was produced from the parsers: ChatGPT, Llama, and Neural ParsCit To cite this work To use this dataset and/or the results produced in the experiment, please cite the following article: @inproceedings{atanassova2024citparse, title = {{Breaking Boundaries in Citation Parsing: A Comparative Study of Generative LLMs and Traditional Out-of-the-box Citation Parsers}}, author = {Iana Atanassova and Marc Bertin}, year = {2024}, booktitle = {{International Workshop on Bibliometric-enhanced Information Retrieval (BIR 2024) co-located with the 46\textsuperscript{st} European Conference on Information Retrieval (ECIR 2024)}}, address = {Glasgow, Scotland}} Authors information Iana Atanassova, ORCID https://orcid.org/0000-0003-3571-4006 URL https://iana-atanassova.github.io/ Marc Bertin, ORCID https://orcid.org/0000-0003-1803-6952 URL https://elico-recherche.msh-lse.fr/membres/marc-bertin Related github repository https://github.com/iana-atanassova/citation-parsers-bir2024.git