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MMEB-V3 is a comprehensive benchmark for evaluating omni-modality embedding models across text, image, video, audio, visual-document, and agent-centric retrieval scenarios.
Building upon MMEB-V1 and MMEB-V2, MMEB-V3 adds 111 new tasks, resulting in 190 evaluation tasks in⦠See the full description on the dataset page:
https://huggingface.co/datasets/VLM2Vec/MMEB-V3.