MMOU: Benchmark for Multimodal Reasoning on Long, Complex Videos

MMOU is a benchmark for evaluating multimodal models on joint audio-visual understanding and reasoning in long and complex real-world videos. The dataset was created by NVIDIA and last updated on March 28, 2026. It is designed to test models on video, speech, sound, music, and long-range temporal context.

Use Cases

• Benchmarking multimodal AI models based on joint audio-visual reasoning tasks.
• Evaluating model performance on long-range temporal context in videos.
• Training models for complex scene understanding based on video, speech, and sound data.

Strengths

• Focuses on long and complex real-world videos, a challenging domain for AI.
• Created by NVIDIA, a leading organization in AI research and hardware.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Row count, file formats, and column-level documentation are absent.
• License information is unknown, which may restrict usage.

Provenance

Source

NVIDIA

Freshness

Last updated 2026-03-28 00:17:41; freshness should be verified.