| # MiTC | |
| ## Introduction | |
| [MiLMo](https://github.com/CMLI-NLP/MiLMo) constructs a minority multilingual text classification dataset named MiTC which contains five languages, including Mongolian, Tibetan, Uyghur, Kazakh and Korean. | |
| We also use [MiLMo](https://github.com/CMLI-NLP/MiLMo) for the downstream experiment of text classification on MiTC. | |
| ## Hugging Face | |
| https://huggingface.co/datasets/CMLI-NLP/MiTC | |
| ## Citation | |
| Plain Text: | |
| J. Deng, H. Shi, X. Yu, W. Bao, Y. Sun and X. Zhao, "MiLMo:Minority Multilingual Pre-Trained Language Model," 2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Honolulu, Oahu, HI, USA, 2023, pp. 329-334, doi: 10.1109/SMC53992.2023.10393961. | |
| BibTeX: | |
| ``` | |
| @INPROCEEDINGS{10393961, | |
| author={Deng, Junjie and Shi, Hanru and Yu, Xinhe and Bao, Wugedele and Sun, Yuan and Zhao, Xiaobing}, | |
| booktitle={2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)}, | |
| title={MiLMo:Minority Multilingual Pre-Trained Language Model}, | |
| year={2023}, | |
| volume={}, | |
| number={}, | |
| pages={329-334}, | |
| keywords={Soft sensors;Text categorization;Social sciences;Government;Data acquisition;Morphology;Data models;Multilingual;Pre-trained language model;Datasets;Word2vec}, | |
| doi={10.1109/SMC53992.2023.10393961}} | |
| ``` | |
| ## Disclaimer | |
| This dataset/model is for academic research purposes only. Prohibited for any commercial or unethical purposes. |