{"url":"/dataset/mutual","name":"MuTual","full_name":"MuTual","description_markdown":"**MuTual** is a retrieval-based dataset for multi-turn dialogue reasoning, which is modified from Chinese high school English listening comprehension test data. It tests dialogue reasoning via next utterance prediction.\n\nSource: [https://github.com/Nealcly/MuTual](https://github.com/Nealcly/MuTual)\nImage Source: [https://github.com/Nealcly/MuTual](https://github.com/Nealcly/MuTual)","description_withheld":null,"homepage":"https://github.com/Nealcly/MuTual","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/mutual-a-dataset-for-multi-turn-dialogue","title":"MuTual: A Dataset for Multi-Turn Dialogue Reasoning","first_author":"Leyang Cui","url":null},"license":null,"modalities":[{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Text Generation","url":"/task/text-generation","datasets_with_task":"/datasets/task/text-generation"},{"name":"Task-Oriented Dialogue Systems","url":"/task/task-oriented-dialogue-systems","datasets_with_task":"/datasets/task/task-oriented-dialogue-systems"},{"name":"Machine Reading Comprehension","url":"/task/machine-reading-comprehension","datasets_with_task":"/datasets/task/machine-reading-comprehension"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["MuTual"],"data_loaders":[{"repo":"https://github.com/Nealcly/MuTual","url":"https://github.com/Nealcly/MuTual","frameworks":[]}],"num_papers_in_archive":55,"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."}