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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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+ # Raw Review Dataset for [Reviewer2](https://arxiv.org/abs/2402.10886)
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+
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+ This is the raw version of our dataset. The cleaned data files that can be directly used for fine-tuning is in [this](https://huggingface.co/datasets/GitBag/Reviewer2_PGE_cleaned) directory.
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+
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+ ## Dataset Structure
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+
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+ The folders are structured in the following way:
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+
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+ ```
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+ venue
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+ |--venue_year
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+ |--venue_year_metadata
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+ |--venue_year_id1_metadata.json
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+ |--venue_year_id2_metadata.json
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+ ...
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+ |--venue_year_paper
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+ |--venue_year_id1_paper.json
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+ |--venue_year_id2_paper.json
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+ ...
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+ |--venue_year_review
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+ |--venue_year_id1_review.json
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+ |--venue_year_id2_review.json
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+ ...
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+ |--venue_year_pdf
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+ |--venue_year_id1_pdf.pdf
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+ |--venue_year_id2_pdf.pdf
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+ ...
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+ ```
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+
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+ ## Dataset Content
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+
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+ #### Paper Contents
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+ - title: title of the paper
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+ - authors: list of author names
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+ - emails: list of author emails
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+ - sections: list of sections of the paper
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+ - heading: heading of the section
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+ - text: text of the section
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+ - references: list of references of the paper
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+ - title: title of the reference
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+ - author: list of author names of the reference
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+ - venue: venue of the reference
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+ - citeRegEx: citation expression
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+ - shortCiteRegEx: short citation expression
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+ - year: publication year of the reference
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+ - referenceMentions: the location of the reference
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+ in the paper
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+ - referenceID: numerical reference id
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+ - context: context of the reference in the paper
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+ - startOffset: start index of the context
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+ - endOffset: end index of the context
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+ - year: year of publication
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+ - abstractText: abstract of the paper
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+
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+ #### Metadata Contents
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+ - id: unique id of the paper
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+ - conference: venue for the paper
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+ - decision: final decision for the paper (accept/reject)
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+ - url: link to the PDF of the paper
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+ - review_url: link to the review of the paper
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+ - title: title of the paper
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+ - authors: list of the authors of 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/) and [NeurIPS Proceedings](http://papers.neurips.cc/).
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+
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+ ## Citation
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+
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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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+ ```