Sign inGet started
Dataset · Hugging Face

Xinpeng-Li/Omni_MMSI

Omni-MMSI: Toward Identity-attributed Social Interaction Understanding Webpage | arXiv | YouTube | Github Xinpeng Li, Bolin Lai, Hardy Chen, Shijian Deng, Cihang Xie, Yuyin Zhou, James Matthew Rehg, Yapeng Tian Introduction Omni-MMSI is an annotation dataset for identity-attributed social interaction understanding in multi-party social deduction game videos. It provides instruction-formatted metadata for clips, including labels, oracle cues, extracted cues… See the full description on the dataset page: https://huggingface.co/datasets/Xinpeng-Li/Omni_MMSI.

Author / organizationXinpeng-Li
License (as declared)apache-2.0
Downloads182 (as reported by Hugging Face)
Likes1
Created19 March 2025
Last updated at source29 May 2026
Embed this entry
<iframe src="https://silytics.si/embed/item/38429311-f870-45f9-be5a-26e7b34fe7c7" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Popularity, last 3 days

182 now (-11 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Connected in the knowledge graph

Explore this entry in the graph

Related papers

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.