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Cleaned Review Dataset for Reviewer2

This is a cleaned version of our dataset and can be directly used for fine-tuning. The raw data files including metadata for each paper is in this directory.

  • venue: venue of the paper;
  • paper_content: content of the paper divided into sections
  • prompt: prompt generated for the review based on our PGE pipeline
  • format: the format of the review
  • review: human-written review for the paper

Dataset Sources

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.

Citation

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}
}
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Models trained or fine-tuned on GitBag/Reviewer2_PGE_cleaned

Paper for GitBag/Reviewer2_PGE_cleaned