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README.md
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---
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language:
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thumbnail:
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tags:
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-
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license: mit
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datasets:
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metrics:
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---
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# ArguGPT
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- label 0 for human written essays
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**Please truncate your input essay to 512 tokens**
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---
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language:
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- en
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thumbnail: url to a thumbnail used in social sharing
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tags:
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- ArguGPT
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license: mit
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datasets:
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- ArguGPT
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metrics:
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- accuracy
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pipeline_tag: text-classification
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---
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# ArguGPT
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- label 0 for human written essays
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**Please truncate your input essay to 512 tokens**
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## Citation
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Please cite our work [arXiv:2304.07666](https://arxiv.org/abs/2304.07666) as
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```
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@misc{liu2023argugpt,
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title={ArguGPT: evaluating, understanding and identifying argumentative essays generated by GPT models},
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author={Yikang Liu and Ziyin Zhang and Wanyang Zhang and Shisen Yue and Xiaojing Zhao and Xinyuan Cheng and Yiwen Zhang and Hai Hu},
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year={2023},
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eprint={2304.07666},
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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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