Create README.md

README.md

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+---
+datasets:
+- Hello-SimpleAI/HC3-Chinese
+language:
+- zh
+pipeline_tag: text-classification
+tags:
+- chatgpt
+---
+
+# Model Card for `Hello-SimpleAI/chatgpt-detector-roberta-chinese`
+
+This model is trained on `question-answer` pairs of **the filtered full-text** `answer`s from [Hello-SimpleAI/HC3-Chinese](https://huggingface.co/datasets/Hello-SimpleAI/HC3-Chinese).
+
+
+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",
+}
+```