A dataset of Tibetan-Chinese cross-language text plagiarism detection

Proceeding from the actual problems of Chinese minority language information processing, this paper establishes a Tibetan-Chinese cross-language text plagiarism detection corpus containing 150,000 sentence pairs, based on SemEval 2014 English evaluation corpus and data enhancement method, to solve the problem of lack of corpus in Tibetan-Chinese cross-language text plagiarism detection. This dataset provides fundamental basis for Tibetan-Chinese cross-language text plagiarism detection. Also the dataset can be used in Tibetan-Chinese semantic computing and other natural language processing tasks. In addition, data enhancement method in the process of data set construction also provides a solution for other low-resource languages to solve the problem of lack of corpus in natural language processing tasks.