| --- |
| license: apache-2.0 |
| tags: |
| - Automated Peer Reviewing |
| - SFT |
| - Dataset |
| --- |
| |
| ## Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis |
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| Paper Link: https://arxiv.org/abs/2407.12857 |
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| Project Page: https://ecnu-sea.github.io/ |
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| ## Dataset Details |
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| Each dataset contains four types of files as follows: |
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| - **paper_raw_pdf:** Original paper in PDF format. |
| - **paper_nougat_mmd:** The mmd files after parsed by [Nougat](https://github.com/facebookresearch/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”. |
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| |
| ## Dataset Sources |
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| We crawl the latest papers and their corresponding reviews from [OpenReview](https://openreview.net), including NeurIPS-2023 and ICLR-2024. |
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| ## Citation |
| |
| <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. --> |
| |
| If you find our paper or models helpful, please consider cite as follows: |
| |
| ```bibtex |
| @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} |
| } |
| ``` |
