readme: ---
  datasets:
  - Hello-SimpleAI/HC3-Chinese
  language:
  - zh
  pipeline_tag: text-classification
  tags:
  - chatgpt
  ---
  
  # Model Card for `Hello-SimpleAI/chatgpt-qa-detector-roberta-chinese`
  
  This model is trained on `question-answer` pairs of **the filtered full-text** from [Hello-SimpleAI/HC3-Chinese](https://huggingface.co/datasets/Hello-SimpleAI/HC3-Chinese).
  
  More details refer to [arxiv: 2301.07597](https://arxiv.org/abs/2301.07597) and Gtihub project [Hello-SimpleAI/chatgpt-comparison-detection](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection).
  
  
  The base checkpoint is [hfl/chinese-roberta-wwm-ext](https://huggingface.co/hfl/chinese-roberta-wwm-ext).
  We train it with all [Hello-SimpleAI/HC3-Chinese](https://huggingface.co/datasets/Hello-SimpleAI/HC3-Chinese) data (without held-out) for 2 epochs.
  
  ( 2-epoch is consistent with the experiments in [our paper](https://arxiv.org/abs/2301.07597).)
  
  
  ## Citation
  
  Checkout this papaer [arxiv: 2301.07597](https://arxiv.org/abs/2301.07597)
  
  ```
  @article{guo-etal-2023-hc3,
      title = "How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection",
      author = "Guo, Biyang  and
        Zhang, Xin  and
        Wang, Ziyuan  and
        Jiang, Minqi  and
        Nie, Jinran  and
        Ding, Yuxuan  and
        Yue, Jianwei  and
        Wu, Yupeng",
      journal={arXiv preprint arxiv:2301.07597}
      year = "2023",
  }
  ```
  