Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions

Re3-Sci2.0, a new large-scale dataset of 1,780 scientific document revisions with over 94k labeled edits intent. This dataset is a supplement to the EMNLP24 paper: Are Large Language Models Good Classifiers? A Study on Edit Intent Classification in Scientific Document Revisions. Please refer to the paper for more details (https://arxiv.org/abs/2410.02028).

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4355
Related Identifier IsSupplementTo https://arxiv.org/abs/2410.02028
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4355
Provenance
Creator Ruan, Qian; Kuznetsov, Ilia; Gurevych, Iryna
Publisher TU Darmstadt
Contributor European Commission; Deutsche Forschungsgemeinschaft; TU Darmstadt
Publication Year 2024
Funding Reference European Commission info:eu-repo/grantAgreement/EC/HE/101054961; Deutsche Forschungsgemeinschaft info:eu-repo/grantAgreement/DFG/GU798/28-1/PEER:Einecomputerg
Rights Creative Commons Attribution-NonCommercial 4.0; info:eu-repo/semantics/openAccess
OpenAccess true
Contact https://tudatalib.ulb.tu-darmstadt.de/page/contact
Representation
Language English
Resource Type Dataset
Format application/zip
Version Re3-Sci2.0_vr1
Discipline Other