ARR Data Collection Initiative 2024

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.

Version v.1 is the base version. Version v.1.1 now also includes camera-ready PDFs of Findings papers. Download this newest version!

Identifier
Source https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460
Related Identifier IsPartOf https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459
Related Identifier Continues https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3618
Metadata Access https://tudatalib.ulb.tu-darmstadt.de/oai/openairedata?verb=GetRecord&metadataPrefix=oai_datacite&identifier=oai:tudatalib.ulb.tu-darmstadt.de:tudatalib/4460
Provenance
Creator Lu, Sheng; Dycke, Nils; Tonja, Atnafu Lambebo; Solorio, Thamar; Zhu, Xiaodan; Dercksen, Koen; Qu, Lizhen; Mieskes, Margot; Hovy, Dirk; Gurevych, Iryna
Publisher TU Darmstadt
Contributor TU Darmstadt
Publication Year 2025
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 Text
Format application/zip; application/octet-stream
Version 1
Discipline Other