README.md

metadata

license: apache-2.0
task_categories:
  - image-classification
language:
  - en

MMEB-V2 (Massive Multimodal Embedding Benchmark)

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 enables robust evaluation of multimodal embedding models across static, temporal, and structured visual data settings.

|Github | 🏆Leaderboard | 📖MMEB-V2/VLM2Vec-V2 Paper (TBA) | | 📖MMEB-V1/VLM2Vec-V1 Paper |

🚀 What's New

• [2025.05] Initial release.

Dataset Overview

We present an overview of the MMEB-V2 dataset below:

Dataset Structure

Below is the directory structure for this Huggingface Repo:

→ video-tasks/
├── frames/
│   ├── video_cls.tar.gz
│   ├── video_qa.tar.gz
│   ├── video_ret.tar.gz
│   └── video_mret.tar.gz
├── raw videos/
│   ├── video_cls.tar.gz
│   ├── video_qa.tar.gz
│   ├── video_ret.tar.gz
│   └── video_mret.tar.gz

→ image-tasks/
├── mmeb_v1.tar.gz
└── visdoc.tar.gz