Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
ArXiv:
License:
Update README.md
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README.md
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---
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license: apache-2.0
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---
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---
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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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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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## Dataset Description
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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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## Dataset Sources
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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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## 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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@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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```
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