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ARR Data Collection Initiative 2025

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dataset_v1_nopdf.zip (6.92 MB)
 dataset_v1.zip (4.3 GB)
 dataset_v1.1_nopdf.zip (20.64 MB)
 dataset_v1.1.zip (10.36 GB)

Date

2025-07-15

Type

Text

Authors

Lu, Sheng
Dycke, Nils
Tonja, Atnafu Lambebo
Solorio, Thamar
Zhu, Xiaodan
Dercksen, Koen
Qu, Lizhen
Mieskes, Margot
Hovy, Dirk
Gurevych, Iryna

Journal Title

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Abstract

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. The newly released version v1.1 is the data from ACL 2025.

Keywords

Peer review, NLP for peer review, ARR

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4675

Endorsement

Related Resources

Continues
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460
Is Part Of
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4459

DFG Classification

4.43-04 Künstliche Intelligenz und Maschinelle Lernverfahren
4.43-05 Bild- und Sprachverarbeitung, Computergraphik und Visualisierung, Human Computer Interaction, Ubiquitous und Wearable Computing

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License

CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International
Except where otherwise noted, this license is described as CC-BY-NC 4.0 - Attribution-NonCommercial 4.0 International