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  license: apache-2.0
 
 
 
 
 
 
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  license: apache-2.0
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+ task_categories:
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+ - text-generation
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+ language:
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+ - en
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+ size_categories:
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+ - 10K<n<100K
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  ---
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+ # Cleaned Review Dataset for [Reviewer2](https://arxiv.org/pdf/2402.10886.pdf)
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+
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+ 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](https://huggingface.co/datasets/GitBag/Reviewer2_PGE_raw/tree/main) directory.
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+
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+ ## Dataset Description
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+
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+ - **venue:** venue of the paper
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+ - **paper_content:** content of the paper divided into sections
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+ - **prompt:** prompt generated for the review based on our PGE pipeline
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+ - **format:** the format of the review
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+ - **review:** human-written review for the paper
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+
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+ ## Dataset Sources
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+
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+ We incorporate parts of the [PeerRead](https://github.com/allenai/PeerRead) and [NLPeer](https://github.com/UKPLab/nlpeer) datasets along with an update-to-date crawl from ICLR and NeurIPS on [OpenReview](https://openreview.net/).
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+
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+ ## Citation
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+ If you find this dataset useful in your research, please cite the following paper:
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+
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+ ```
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+ @misc{gao2024reviewer2,
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+ title={Reviewer2: Optimizing Review Generation Through Prompt Generation},
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+ author={Zhaolin Gao and Kianté Brantley and Thorsten Joachims},
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+ year={2024},
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+ eprint={2402.10886},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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+ ```