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Video-Language Models · benchmark dataset · ENGLISH

CinePile: A Long Video Question Answering Dataset and Benchmark.

CinePile is a long-form video understanding dataset created using advanced large language models (LLMs) with human-in-the-loop pipeline leveraging existing human-generated raw data. The dataset comprises Multiple-Choice Questions across 86 diverse question templates, such as Emotional Transition, Object Description, etc., generated automatically using Gemini. These templates are categorized into five high-level categories: Character and Relationship Dynamics (CRD), Narrative and Plot Analysis (NPA), Thematic Exploration (TE), Setting and Technical Analysis (STA), and Temporal (TE). The dataset contains 298,888 training points and 4,940 test-set points from 9,396 movie clips.

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