🧠 EgoExoBench: A Cross-Perspective Video Understanding Benchmark
Dataset Summary
EgoExoBench is a benchmark designed to evaluate cross-perspective understanding capabilities of multimodal large models (MLLMs).It contains synchronized and asynchronous egocentric (first-person) and exocentric (third-person) video pairs, along with multiple-choice questions that assess semantic alignment, viewpoint association, and temporal reasoning between the two perspectives.… See the full description on the dataset page: https://huggingface.co/datasets/Heleun/EgoExoBench_MCQ.
