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ARR Data Collection Initiative 2025

datacite.relation.continues https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460
datacite.relation.isPartOf https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459
dc.contributor.author Lu, Sheng
dc.contributor.author Dycke, Nils
dc.contributor.author Tonja, Atnafu Lambebo
dc.contributor.author Solorio, Thamar
dc.contributor.author Zhu, Xiaodan
dc.contributor.author Dercksen, Koen
dc.contributor.author Qu, Lizhen
dc.contributor.author Mieskes, Margot
dc.contributor.author Hovy, Dirk
dc.contributor.author Gurevych, Iryna
dc.date.accessioned 2025-12-13T15:47:42Z
dc.date.created 2025-07-01
dc.date.issued 2025-12-13
dc.description 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. V1 contains accepted paper data from COLING 2025 and NAACL 2025. V1.1 and V1.1.1 contain accepted paper data from ACL 2025 (V1.1.1 contatins data from ARR 2024 December and ARR 2025 February, and V1.1 contains only data from ARR 2025 February). V1.2 contains ARR 2024 April and June submissions that did not appear in EMNLP 2024, released after a one-year grace period with explicit author consent. V1.3 contains accepted paper data from EMNLP 2025.
dc.identifier.uri https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4675.2
dc.rights.licenseCC-BY-NC-4.0 (https://creativecommons.org/licenses/by-nc/4.0)
dc.subject Peer review, NLP for peer review, ARR
dc.subject.classification 4.43-04
dc.subject.classification 4.43-05
dc.subject.ddc 004
dc.title ARR Data Collection Initiative 2025
dc.type Text
dcterms.accessRights openAccess
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tuda.unit TUDa

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Original bundle

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NameDescriptionSizeFormat
dataset_v1_nopdf.zip6.92 MBZIP-Archivdateien Download
dataset_v1.zip4.3 GBZIP-Archivdateien Download
dataset_v1.1_nopdf.zip20.64 MBZIP-Archivdateien Download
dataset_v1.1.zip10.36 GBZIP-Archivdateien Download
dataset_v1.1.1_nopdf.zip27.29 MBZIP-Archivdateien Download
dataset_v1.2_nopdf.zip12.93 MBZIP-Archivdateien Download
dataset_v1.2.zip5.46 GBZIP-Archivdateien Download
dataset_v1.3_nopdf.zip22.15 MBZIP-Archivdateien Download
dataset_v1.3.zip5.02 GBZIP-Archivdateien Download
dataset_v1.1.1.zip12.96 GBZIP-Archivdateien Download

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