Jinapeng/MMLM_EVAL
Massive Multimodal Embedding Benchmark We compile a large set of evaluation tasks to understand the capabilities of multimodal embedding models. This benchmark covers 4 meta tasks and 36 datasets meticulously selected for evaluation. The dataset is published in our paper VLM2Vec: Training Vision-Language Models for Massive Multimodal Embedding Tasks. Dataset Usage For each dataset, we have 1000 examples for evaluation. Each example contains a query and a set of… See the full description on the dataset page: https://huggingface.co/datasets/Jinapeng/MMLM_EVAL.
| Author / organization | Jinapeng |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 486 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 28 March 2025 |
| Last updated at source | 29 March 2025 |
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- 16 Oct 2026 Description: Massive Multimodal Embedding Benchmark We compile a large set of evaluation tasks to understand the capabilities of multimodal embedding models. This benchmark covers 4 meta tasks and 36 datasets meticulously selected for evaluation. The da → Massive Multimodal Embedding Benchmark We compile a large set of evaluation tasks to understand the capabilities of multimodal embedding models. This benchmark covers 4 meta tasks and 36 datasets meticulously selected for evaluation. The da
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