NLPEER: A Unified Resource for the Computational Study of Peer Review

Dataset of peer review reports and paper drafts from diverse domains and venues. We provide multiple versions of the dataset; when in doubt, download the newest version. You can also download a small-sized version without paper PDFs, in case you are fine with parsed papers and/or only need the peer review data.

Change log: * v.0.1: includes splits and annotations for the NLPeer assistance tasks; we fixed minor text encoding issues for the PeerRead portion

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3618
Related Identifier https://aclanthology.org/2023.acl-long.277/
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/3618
Provenance
Creator Dycke, Nils; Kuznetsov, Ilia; Gurevych, Iryna
Publisher TU Darmstadt
Contributor TU Darmstadt
Publication Year 2022
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
Discipline Other