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:
@misc{yu2024automatedpeerreviewingpaper,
title={Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis},
author={Jianxiang Yu and Zichen Ding and Jiaqi Tan and Kangyang Luo and Zhenmin Weng and Chenghua Gong and Long Zeng and Renjing Cui and Chengcheng Han and Qiushi Sun and Zhiyong Wu and Yunshi Lan and Xiang Li},
year={2024},
eprint={2407.12857},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2407.12857},
}