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The MM‑Vet v2 dataset was jointly created by the National University of Singapore, Microsoft, and Advanced Micro Devices to evaluate the comprehensive capabilities of large multimodal models. It comprises 517 high‑quality evaluation samples covering a wide range of scenarios from everyday life to professional/industrial applications. The creation process involved researchers designing questions and collecting reference answers, ensuring high quality and broad applicability. MM‑Vet v2 specifically introduces an "image‑text sequence understanding" ability to assess a model's capacity to handle combined image and text‑sequence data, addressing complex task handling in real‑world multimodal applications.
