MMChat

Introduced by Yinhe Zheng et al. in MMChat: Multi-Modal Chat Dataset on Social Media16 Aug 2021 archive 2025-07-28

A large scale Chinese multi-modal dialogue corpus (120.84K dialogues and 198.82 K images).
MMCHAT contains image-grounded dialogues collected from real conversations on social media.
We manually annotate 100K dialogues from MMCHAT with the dialogue quality and whether the dialogues are related to the given image.
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
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)

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

1 loader as listed in the archive; links are outbound and not re-checked here.

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1 variant name, as the archive lists them.

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