Reviewer2: Optimizing Review Generation Through Prompt Generation
Paper • 2402.10886 • Published • 1
Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
This is the raw version of our dataset. The cleaned data files that can be directly used for fine-tuning is in this directory.
The folders are structured in the following way:
venue
|--venue_year
|--venue_year_metadata
|--venue_year_id1_metadata.json
|--venue_year_id2_metadata.json
...
|--venue_year_paper
|--venue_year_id1_paper.json
|--venue_year_id2_paper.json
...
|--venue_year_review
|--venue_year_id1_review.json
|--venue_year_id2_review.json
...
|--venue_year_pdf
|--venue_year_id1_pdf.pdf
|--venue_year_id2_pdf.pdf
...
We incorporate parts of the PeerRead and NLPeer datasets along with an update-to-date crawl from ICLR and NeurIPS on OpenReview and NeurIPS Proceedings.
If you find this dataset useful in your research, please cite the following paper:
@misc{gao2024reviewer2,
title={Reviewer2: Optimizing Review Generation Through Prompt Generation},
author={Zhaolin Gao and Kianté Brantley and Thorsten Joachims},
year={2024},
eprint={2402.10886},
archivePrefix={arXiv},
primaryClass={cs.CL}
}