five

MMBench_CN

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魔搭社区2025-12-03 更新2024-10-12 收录
下载链接:
https://modelscope.cn/datasets/lmms-lab/MMBench_CN
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资源简介:
<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-eval` 🏠 [Homepage](https://lmms-lab.github.io/) | 📚 [Documentation](docs/README.md) | 🤗 [Huggingface Datasets](https://huggingface.co/lmms-lab) # This Dataset This is a formatted version of the Chinese 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. ``` @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}, } ```

<p align="center" width="100%"> <img src="https://i.postimg.cc/g0QRgMVv/WX20240228-113337-2x.png" width="100%" height="80%"> </p> # 大规模多模态模型评测套件 > 借助`lmms-eval`加速大规模多模态模型(LMMs)的研发 🏠 [主页](https://lmms-lab.github.io/) | 📚 [文档](docs/README.md) | 🤗 [Huggingface数据集](https://huggingface.co/lmms-lab) # 本数据集 本数据集是[MMBench](https://arxiv.org/abs/2307.06281)中文子集的格式化版本,可集成至我们的`lmms-eval`评测流水线,支持大规模多模态模型的一键式评测。 @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}, }
提供机构:
maas
创建时间:
2024-10-07
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