Omkar2118/datasets huggingface dataset:
InfiniBench
Full name: InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding

We introduce InfiniBench a comprehensive benchmark for very long video understanding, which presents 1) The longest video duration, averaging 76.34 minutes; 2) The largest number of question-answer pairs, 108.2K; 3) Diversity in questions that examine nine different skills and include both multiple-choice questions and open-ended questions; 4) Humancentric, as the video sources come from movies and daily TV shows, with specific human-level question designs such as Movie Spoiler Questions that require critical thinking and comprehensive understanding. Using InfiniBench, we comprehensively evaluate existing Large MultiModality Models (LMMs) on each skill, including the commercial model Gemini 1.5 Flash and the open-source models. The evaluation shows significant challenges in our benchmark.Our results show that the best AI models such Gemini struggles to perform well with 42.72% average accuracy and 2.71 out of 5 average score.

Introducing paper: InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding