CLARU
CrossTimeBenchcc-by-4.0

CrossTimeBench

A comprehensive benchmark for evaluating Multimodal Large Language Models on cross-temporal video reasoning in complex multi-event scenarios, consolidating 12 existing VQA datasets with 2,607 videos and 8,496 QA pairs requiring integration of information from multiple temporal segments.

Downloads33

Technical Profile

Modalities
rgblanguage
Task Types
video-classificationquestion-answeringtemporal-reasoningaction-anticipationtemporal-localization
Data Format
json
License
cc-by-4.0
Part of the CrossTimeBench family

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