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Chuntianli/CrossVid

CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models Dataset Description CrossVid is a large-scale, multi-task dataset designed to advance cross-video understanding capabilities in vision-language models. The dataset encompasses 10 diverse task types that require models to reason across multiple videos, understand temporal dynamics, spatial relationships, and complex narrative structures. Unlike existing… See the full description on the dataset page: https://huggingface.co/datasets/Chuntianli/CrossVid.

Author / organizationChuntianli
License (as declared)cc-by-4.0
Downloads2.3K (as reported by Hugging Face)
Likes2
Created13 November 2025
Last updated at source24 December 2025
video-understandingcross-video-reasoningmultimodaltemporal-reasoningspatial-reasoning
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  • 16 Oct 2026 Description: CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models Dataset Description CrossVid is a large-scale, multi-task dataset designed to advance cross-video understanding capabilities in vis → CrossVid: A Comprehensive Benchmark for Evaluating Cross-Video Reasoning in Multimodal Large Language Models Dataset Description CrossVid is a large-scale, multi-task dataset designed to advance cross-video understanding capabilities in vis

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