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Machine Reading Comprehension (MRC) is a task that requires machine tounderstand natural language and answer questions by reading a document. It isthe core of automatic response technology such as chatbots and automatizedcustomer supporting systems. We present Korean Question AnsweringDataset(KorQuAD), a large-scale Korean dataset for extractive machine readingcomprehension task. It consists of 70,000+ human generated question-answerpairs on Korean Wikipedia articles. We release KorQuAD1.0 and launch achallenge at https://KorQuAD.github.io to encourage the development ofmultilingual natural language processing research.

KorQuAD1.0: Korean QA Dataset for Machine Reading Comprehension