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ARR Data Collection Initiative 2024

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dataset_v1.1_nopdf.zip (dataset v1.1 no pdf) (14.68 MB)
 dataset_v1.1.zip (7.48 GB)
 dataset_v1_nopdf.zip (v1 (no pdf)) (14.79 MB)
 dataset_v1.zip () (5.73 GB)

Date

2025-02-07

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

Journal ISSN

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

Keywords

peer review, nlp for peer review, arr

Citation

Identifier

https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/4460

Endorsement

Related Resources

Continues
https://tudatalib.ulb.tu-darmstadt.de/handle/tudatalib/3618
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