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path: data/test-*
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# Dataset Card for "MMBench_EN"
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path: data/test-*
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# Dataset Card for "MMBench_EN"
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<p align="center" width="100%">
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<img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%">
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</p>
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# Large-scale Multi-modality Models Evaluation Suite
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> Accelerating the development of large-scale multi-modality models (LMMs) with `lmms-eval`
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๐ [Homepage](https://lmms-lab.github.io/) | ๐ [Documentation](docs/README.md) | ๐ค [Huggingface Datasets](https://huggingface.co/lmms-lab)
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# This Dataset
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This is a formatted version of the English subset of [MMBench](https://arxiv.org/abs/2307.06281). It is used in our `lmms-eval` pipeline to allow for one-click evaluations of large multi-modality models.
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```
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@article{MMBench,
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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},
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journal = {arXiv:2307.06281},
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title = {MMBench: Is Your Multi-modal Model an All-around Player?},
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year = {2023},
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}
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```
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