Dataset · Hugging Face

TIGER-Lab/MMEB-V2

Name: MMEB-V2
Creator: TIGER-Lab
License: apache-2.0
Keywords: task_categories:text-retrieval, task_categories:text-classification, task_categories:token-classification, language:en, license:apache-2.0, size_categories:1M<n<10M, arxiv:2507.04590, arxiv:2410.05160, region:us, multimodal

MMEB-V2 (Massive Multimodal Embedding Benchmark) Website |Github | 🏆Leaderboard | 📖MMEB-V2/VLM2Vec-V2 Paper | | 📖MMEB-V1/VLM2Vec-V1 Paper | Introduction Building upon on our original MMEB, MMEB-V2 expands the evaluation scope to include five new tasks: four video-based tasks — Video Retrieval, Moment Retrieval, Video Classification, and Video Question Answering — and one task focused on visual documents, Visual Document Retrieval. This comprehensive suite… See the full description on the dataset page: https://huggingface.co/datasets/TIGER-Lab/MMEB-V2.

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Author / organization	TIGER-Lab
License (as declared)	apache-2.0
Downloads	3.3K (as reported by Hugging Face)
Likes	20
Created	21 March 2025
Last updated at source	11 November 2025

multimodal

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16 Oct 2026 Description: MMEB-V2 (Massive Multimodal Embedding Benchmark) Website |Github | 🏆Leaderboard | 📖MMEB-V2/VLM2Vec-V2 Paper | | 📖MMEB-V1/VLM2Vec-V1 Paper | Introduction Building upon on our original MMEB, MMEB-V2 expands the evaluation scope to include → MMEB-V2 (Massive Multimodal Embedding Benchmark) Website |Github | 🏆Leaderboard | 📖MMEB-V2/VLM2Vec-V2 Paper | | 📖MMEB-V1/VLM2Vec-V1 Paper | Introduction Building upon on our original MMEB, MMEB-V2 expands the evaluation scope to include

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