TencentARC/Video-Holmes

Video-Holmes: Can MLLM Think Like Holmes for Complex Video Reasoning? Junhao Cheng1,2, Yuying Ge1,✉, Teng Wang1,✉, Yixiao Ge1, Jing Liao2, Ying Shan1 1ARC Lab, Tencent PCG, 2City University of Hong Kong 🔎 Introduction Video-Holmes is a benchmark designed to evaluate the complex video reasoning capabilities of MLLMs. Video-Holmes consists of 1,837 questions derived from 270 manually annotated suspense short films (ranging from 1… See the full description on the dataset page: https://huggingface.co/datasets/TencentARC/Video-Holmes.

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