Maternal and Infant (MATINF) Dataset is a large-scale dataset jointly labeled for classification, question answering and summarization in the domain of maternity and baby caring in Chinese. An entry in the dataset includes four fields: question (Q), description (D), class (C) and answer (A).

Nearly two million question-answer pairs are collected with fine-grained human-labeled classes from a large Chinese maternity and baby caring QA site. Authors conduct both automatic and manual data cleansing and remove: (1) classes with insufficient samples; (2) entries in which the length of the description filed is less than the length of the question field; (3) data with any field longer than 256 characters; (4) human-spotted ill-formed data. After the data cleansing, MATINF is constructed with the remaining 1.07 million entries

Source: MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization


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