OpenRewriteEval / README.md
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---
dataset_info:
features:
- name: source
dtype: string
- name: target
dtype: string
- name: comment
dtype: string
- name: task
dtype: string
splits:
- name: train
num_bytes: 2769019
num_examples: 1629
download_size: 1566986
dataset_size: 2769019
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
---
# OpenRewriteEval
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).
## Citation
```
@misc{shu2023rewritelminstructiontunedlargelanguage,
title={RewriteLM: An Instruction-Tuned Large Language Model for Text Rewriting},
author={Lei Shu and Liangchen Luo and Jayakumar Hoskere and Yun Zhu and Yinxiao Liu and Simon Tong and Jindong Chen and Lei Meng},
year={2023},
eprint={2305.15685},
archivePrefix={arXiv},
primaryClass={cs.CL},
url={https://arxiv.org/abs/2305.15685},
}
```