Sign inGet started
Dataset · Hugging Face

NJU-LINK/OmniVideoBench

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs ✨ Overview Recent advances in multimodal large language models (MLLMs) have brought remarkable progress in video understanding.However, most existing benchmarks fail to jointly evaluate both audio and visual reasoning — often focusing on one modality or overlooking their interaction. 🎬 OmniVideoBench fills this gap.It’s a large-scale… See the full description on the dataset page: https://huggingface.co/datasets/NJU-LINK/OmniVideoBench.

Author / organizationNJU-LINK
License (as declared)cc-by-nc-nd-4.0
Downloads2.7K (as reported by Hugging Face)
Likes6
Created15 October 2025
Last updated at source8 April 2026
omniaudiovideo
Embed this entry
<iframe src="https://silytics.si/embed/item/85992cfc-caa6-4462-a466-1a202dd72359" 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

2,717 now (-200 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.

Recent changes

  • 16 Oct 2026 Description: OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs ✨ Overview Recent advances in multimodal large language models (MLLMs) have brought remarkable progress in video understanding.However, most existing benchmarks fa → OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs ✨ Overview Recent advances in multimodal large language models (MLLMs) have brought remarkable progress in video understanding.However, most existing benchmarks fa

Changes detected by Silytics between refreshes of the source.

More from NJU-LINK

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 Information may be incomplete or out of date.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.