metadata

license: apache-2.0
task_categories:
  - text-generation
language:
  - en
size_categories:
  - 10K<n<100K

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}
}