metadata
license: apache-2.0
tags:
- Automated Peer Reviewing
- SFT
- Dataset
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
Paper Link: https://arxiv.org/abs/2407.12857
Project Page: https://ecnu-sea.github.io/
Dataset Details
Each dataset contains four types of files as follows:
- paper_raw_pdf: Original paper in PDF format.
- paper_nougat_mmd: The mmd files after parsed by Nougat.
- review_raw_txt: Crawled raw review text.
- review_json: The processed review JSON file, including “Decision”, “Meta Review”, and for each review, “Summary”, “Strengths”, “Weaknesses”, “Questions”, “Soundness”, “Presentation”, “Contribution”, “Confidence”, and “Rating”.
Dataset Sources
We crawl the latest papers and their corresponding reviews from OpenReview, including NeurIPS-2023 and ICLR-2024.
Citation
If you find our paper or models helpful, please consider cite as follows:
@inproceedings{yu2024automated,
title={Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis},
author={Yu, Jianxiang and Ding, Zichen and Tan, Jiaqi and Luo, Kangyang and Weng, Zhenmin and Gong, Chenghua and Zeng, Long and Cui, RenJing and Han, Chengcheng and Sun, Qiushi and others},
booktitle={Findings of the Association for Computational Linguistics: EMNLP 2024},
pages={10164--10184},
year={2024}
}