ARR Data Collection Initiative 2025

Dataset of peer review reports, meta-reviews, reviewer-author discussions, and paper drafts collected from ACL Rolling Review within the context of the new data collection initiative (https://arr-data.aclweb.org/protocol/). All included data is explicitly licensed by the authors and reviewers for publication. This dataset is not meant for commercial purposes. This dataset should not be used for pre-training of neural models such as large language models. The newly released version v1.1 is the data from ACL 2025.

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4675
Related Identifier Continues https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460
Related Identifier IsPartOf https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/server/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4675
Provenance
Creator Lu, Sheng; Dycke, Nils; Tonja, Atnafu Lambebo; Solorio, Thamar; Zhu, Xiaodan; Dercksen, Koen; Qu, Lizhen; Mieskes, Margot; Hovy, Dirk; Gurevych, Iryna
Publisher Technische Universität Darmstadt
Contributor Technische Universität Darmstadt
Publication Year 2025
Rights Creative Commons Attribution-NonCommercial 4.0 International; info:eu-repo/semantics/restrictedAccess; https://creativecommons.org/licenses/by-nc/4.0
OpenAccess false
Contact https://tudatalib.ulb.tu-darmstadt.de/docs/en/kontakt/
Representation
Resource Type Text
Format application/zip
Size 6.92 MB; 4.3 GB; 20.64 MB; 10.36 GB
Discipline Other