alexisty/SocialOmni
SocialOmni: Benchmarking Audio-Visual Social Interactivity in Omni Models Paper | GitHub | Project Page SocialOmni is a comprehensive benchmark designed to evaluate the audio-visual social interactivity of Omni-modal Large Language Models (OLMs). Instead of focusing solely on static accuracy, SocialOmni measures whether a model can behave appropriately in real dialogues by evaluating three tightly coupled dimensions: Who is speaking: speaker separation and identification. When… See the full description on the dataset page: https://huggingface.co/datasets/alexisty/SocialOmni.
| Author / organization | alexisty |
|---|---|
| License (as declared) | mit |
| Downloads | 562 (as reported by Hugging Face) |
| Likes | 6 |
| Created | 4 March 2026 |
| Last updated at source | 19 March 2026 |
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