Chinese-Mongolian bilingual legal field question and answer corpus dataset

However, due to the limitation of data resources, the intelligent question answering system of low-resource languages such as Mongolian can not meet the application needs of people. This study uses the existing Chinese question and answer(Q&A) corpus, constructs 50,000 pairs of Chinese-Mongolian bilingual Q&A corpus data and corresponding classification labels through the steps of rule screening, Chinese-Mongolian translation and manual correction.

This dataset can provide researchers with rich, accurate question-answering samples for training and evaluating the performance of intelligent question-answering systems, as well as for tasks such as machine translation and text classification. The manual evaluation verifies that 92% of the corpus conforms to the Q&A in the field of Chinese-Mongolian bilingual law. Therefore, the data set has important usage value for promoting the research of Chinese and Mongolian multi-language intelligent question answering.