|
--- |
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dataset_info: |
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features: |
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- name: source |
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dtype: string |
|
- name: target |
|
dtype: string |
|
- name: comment |
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dtype: string |
|
- name: task |
|
dtype: string |
|
splits: |
|
- name: train |
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num_bytes: 2769019 |
|
num_examples: 1629 |
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download_size: 1566986 |
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dataset_size: 2769019 |
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configs: |
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- config_name: default |
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data_files: |
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- split: train |
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path: data/train-* |
|
--- |
|
|
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# OpenRewriteEval |
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|
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This dataset contains the data of the `OpenRewriteEval` benchmark used to evaluate the rewriting capabilities of an LLM. The benchmark was originally released in [RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting |
|
](https://arxiv.org/abs/2305.15685) paper by Google. The data has been reuploaded to Hugging Face for convenience from the original GitHub repo: [RewriteLM - GitHub](https://github.com/google-research/google-research/tree/master/rewritelm). |
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## Citation |
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|
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``` |
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@misc{shu2023rewritelminstructiontunedlargelanguage, |
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title={RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting}, |
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author={Lei Shu and Liangchen Luo and Jayakumar Hoskere and Yun Zhu and Yinxiao Liu and Simon Tong and Jindong Chen and Lei Meng}, |
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year={2023}, |
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eprint={2305.15685}, |
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archivePrefix={arXiv}, |
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primaryClass={cs.CL}, |
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url={https://arxiv.org/abs/2305.15685}, |
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} |
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``` |