| | --- |
| | 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](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”. |
| | |
| | |
| | ## Dataset Sources |
| | |
| | We crawl the latest papers and their corresponding reviews from [OpenReview](https://openreview.net), including NeurIPS-2023 and ICLR-2024. |
| | |
| | |
| | |
| | ## 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} |
| | } |
| | ``` |
