Datasets › InfiniBench

InfiniBench (InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding)

Introduced by Kirolos Ataallah et al. in InfiniBench: A Comprehensive Benchmark for Large Multimodal Models in Very Long Video Understanding28 Jun 2024 archive 2025-07-28

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.

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

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Tasks archive 2025-07-28

License archive 2025-07-28

BSD-3-Clause

Modalities archive 2025-07-28

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Languages archive 2025-07-28

Variants archive 2025-07-28

  • InfiniBench

1 variant name, as the archive lists them.

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