lmms-lab/MMBench_EN
Dataset Card for "MMBench_EN" Large-scale Multi-modality Models Evaluation Suite Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval π Homepage | π Documentation | π€ Huggingface Datasets This Dataset This is a formatted version of the English subset of MMBench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models. @article{MMBench, author = {Yuan Liuβ¦ See the full description on the dataset page: https://huggingface.co/datasets/lmms-lab/MMBench_EN.
Dataset Card for "MMBench_EN"
<p align="center" width="100%"> <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%"> </p>
Large-scale Multi-modality Models Evaluation Suite
Accelerating the development of large-scale multi-modality models (LMMs) with lmms-evalπ Homepage | π Documentation | π€ Huggingface Datasets
This Dataset
This is a formatted version of the English subset of MMBench. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.
@article{MMBench,
author = {Yuan Liu, Haodong Duan, Yuanhan Zhang, Bo Li, Songyang Zhang, Wangbo Zhao, Yike Yuan, Jiaqi Wang, Conghui He, Ziwei Liu, Kai Chen, Dahua Lin},
journal = {arXiv:2307.06281},
title = {MMBench: Is Your Multi-modal Model an All-around Player?},
year = {2023},
}