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README.md

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 # Oogiri-GO Dataset Card
 
+[Project Page](https://zhongshsh.github.io/CLoT) | [Paper](https://arxiv.org/abs/2312.02439) | [Code](https://github.com/sail-sg/CLoT) | [Model](https://huggingface.co/zhongshsh/CLoT-cn)
 
 **Data discription**: Oogiri-GO is a multimodal and multilingual humor dataset, and contains more than 130,000 Oogiri samples in English (en.jsonl), Chinese (cn.jsonl), and Japanese (jp.jsonl).  Notably,  in Oogiri-GO, 77.95\% of samples are annotated with human preferences, namely the number of likes, indicating the popularity of a response. As illustrated in Fig. 1,  Oogiri-GO contains three types of Oogiri games according to the input that can be images, text, or both,  and are respectively called   "Text to Text" (T2T), "Image to Text"  (I2T),  and "Image & Text to Text " (IT2T) for brevity.  
 
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 **Project page for more information**: https://zhongshsh.github.io/CLoT
 
+**License**: Creative Commons Attribution 4.0 International. We also adhere to the terms of use from any of the data sources, such as [Bokete](https://bokete.jp/about/rule) and [Zhihu](https://www.zhihu.com/term/zhihu-terms). If you have any concerns regarding this dataset, especially if you believe it infringes upon your legal rights, please feel free to contact us. We will promptly review any issues raised and respond accordingly.
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 **Citation**
 
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