VideoMMMU

VideoMMMU is a benchmark for understanding videos instead of static images. The official description says: "VideoMMMU - multi-modal multi-discipline video understanding benchmark". Below we describe in simple words what benchmarks of this type generally examine.

VideoMMMU measures understanding videos instead of static images. In detail, it checks:

• following events, actions and their order across time
• answering questions about long videos (with and without subtitles)
• reasoning about what happened and why, not just single frames
• integrating audio/subtitle context with the visual stream

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better.

Official methodology note: VideoMMMU - multi-modal multi-discipline video understanding benchmark.

What is the VideoMMMU benchmark?

VideoMMMU is a benchmark for understanding videos instead of static images. The official description says: 'VideoMMMU - multi-modal multi-discipline video understanding benchmark'. Below we describe in simple words what benchmarks of this type generally examine.

What does VideoMMMU test?

VideoMMMU mainly measures understanding videos instead of static images. Concretely, it checks: following events, actions and their order across time; answering questions about long videos (with and without subtitles); reasoning about what happened and why, not just single frames.

How is the VideoMMMU score calculated?

The score is accuracy: the percentage of tasks answered or solved correctly. 100% means every task was solved perfectly; higher is better. The declared maximum score of this benchmark is 100.0.

Where do I get VideoMMMU data and scores?

The official benchmark page/reference is linked on this page. Every score on Open LLM Radar is also available as open data: download the scores JSON (http://open-llm-radar-api:8000/api/v1/benchmarks/videommmu/scores) or pull it directly from the Open LLM Radar API with any HTTP client.