{"url":"/dataset/mmchat","name":"MMChat","full_name":null,"description_markdown":"- A large scale Chinese multi-modal dialogue corpus (120.84K dialogues and 198.82 K images).\r\n- MMCHAT contains image-grounded dialogues collected from real conversations on social media.\r\n- We manually annotate 100K dialogues from MMCHAT with the dialogue quality and whether the dialogues are related to the given image.\r\n- We provide the rule-filtered raw dialogues  that are used to create MMChat (Rule Filtered Raw MMChat). It contains 4.257 M dialogue sessions and 4.874 M images\r\n- We provide a version of MMChat that is filtered based on LCCC (LCCC Filtered MMChat). This version contain much cleaner dialogues (492.6 K dialogue sessions and 1.066 M images)","description_withheld":null,"homepage":"https://github.com/silverriver/MMChat","introduced_date":"2021-08-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/mmchat-multi-modal-chat-dataset-on-social","title":"MMChat: Multi-Modal Chat Dataset on Social Media","first_author":"Yinhe Zheng","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Texts","url":"/datasets/modality/texts"}],"tasks":[{"name":"Dialogue Generation","url":"/task/dialogue-generation","datasets_with_task":"/datasets/task/dialogue-generation"},{"name":"Open-Domain Dialog","url":"/task/open-domain-dialog","datasets_with_task":"/datasets/task/open-domain-dialog"},{"name":"Multi-modal Dialogue Generation","url":"/task/multi-modal-dialogue-generation","datasets_with_task":"/datasets/task/multi-modal-dialogue-generation"}],"languages":[{"name":"Chinese","url":"/datasets/language/chinese"}],"variants":["MMChat"],"data_loaders":[{"repo":"https://github.com/silverriver/mmchat","url":"https://github.com/silverriver/mmchat","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."}