Dongyh35/CVBench
CVBench: Evaluating Cross-Video Synergies for Complex Multimodal Understanding and Reasoning Data Overview CVBench is the first benchmark specifically designed to evaluate cross-video reasoning capabilities in Multimodal Large Language Models (MLLMs). While existing benchmarks focus on single-video tasks, CVBench addresses real-world challenges that demand understanding relationships between multiple video streams—such as multi-camera surveillance, procedural… See the full description on the dataset page: https://huggingface.co/datasets/Dongyh35/CVBench.
| Author / organization | Dongyh35 |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 652 (as reported by Hugging Face) |
| Likes | 2 |
| Created | 13 May 2025 |
| Last updated at source | 6 August 2025 |
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Recent changes
- 16 Oct 2026 Description: CVBench: Evaluating Cross-Video Synergies for Complex Multimodal Understanding and Reasoning Data Overview CVBench is the first benchmark specifically designed to evaluate cross-video reasoning capabilities in Multimodal Large Language Mode → CVBench: Evaluating Cross-Video Synergies for Complex Multimodal Understanding and Reasoning Data Overview CVBench is the first benchmark specifically designed to evaluate cross-video reasoning capabilities in Multimodal Large Language Mode
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