Datasets:
| task_categories: | |
| - text-classification | |
| - question-answering | |
| - sentence-similarity | |
| - zero-shot-classification | |
| language: | |
| - en | |
| - zh | |
| tags: | |
| - ChatGPT | |
| - SimpleAI | |
| - Detection | |
| - OOD | |
| size_categories: | |
| - 10K<n<100K | |
| license: cc-by-sa-4.0 | |
| # Human ChatGPT Comparison Corpus (HC3) | |
| We propose the first human-ChatGPT comparison corpus, named **HC3** dataset. | |
| This dataset is introduced in our paper: | |
| - Paper: [***How Close is ChatGPT to Human Experts? Comparison Corpus, Evaluation, and Detection***](https://arxiv.org/abs/2301.07597) | |
| Code, models and analysis are available on our GitHub: | |
| - GitHub: [**Chatgpt-Comparison-Detection project** 🔬](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection) | |
| # Dataset Copyright | |
| If the source datasets used in this corpus has a specific license which is stricter than CC-BY-SA, our products follow the same. If not, they follow CC-BY-SA license. | |
| See [dataset copyright](https://github.com/Hello-SimpleAI/chatgpt-comparison-detection#dataset-copyright). | |
| # 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", | |
| } | |
| ``` |