{"url":"/dataset/matinf","name":"MATINF","full_name":"Maternal and Infant Dataset","description_markdown":"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).\r\n\r\nNearly 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\r\n\r\nSource: [MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization](https://arxiv.org/pdf/2004.12302v2.pdf)","description_withheld":null,"homepage":"https://github.com/WHUIR/MATINF","introduced_date":"2020-04-26","introduced_date_note":null,"introduced_by":{"paper":"/paper/matinf-a-jointly-labeled-large-scale-dataset","title":"MATINF: A Jointly Labeled Large-Scale Dataset for Classification, Question Answering and Summarization","first_author":"Canwen Xu","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Question Answering","url":"/task/question-answering","datasets_with_task":"/datasets/task/question-answering"},{"name":"Document Summarization","url":"/task/document-summarization","datasets_with_task":"/datasets/task/document-summarization"},{"name":"Multi-Document Summarization","url":"/task/multi-document-summarization","datasets_with_task":"/datasets/task/multi-document-summarization"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["MATINF"],"data_loaders":[{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/WHUIR/matinf","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/huggingface/datasets","url":"https://huggingface.co/datasets/matinf","frameworks":["tf","pytorch","jax"]},{"repo":"https://github.com/WHUIR/MATINF","url":"https://github.com/WHUIR/MATINF","frameworks":["pytorch"]}],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}