README.md

metadata

dataset_info:
  - config_name: chinese_culture
    features:
      - name: index
        dtype: int32
      - name: question
        dtype: string
      - name: image
        dtype: image
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
      - name: category
        dtype: string
      - name: source
        dtype: string
    splits:
      - name: test
        num_bytes: 55546140
        num_examples: 2176
    download_size: 54795762
    dataset_size: 55546140
  - config_name: default
    features:
      - name: index
        dtype: int32
      - name: question
        dtype: string
      - name: image
        dtype: image
      - name: hint
        dtype: string
      - name: A
        dtype: string
      - name: B
        dtype: string
      - name: C
        dtype: string
      - name: D
        dtype: string
      - name: answer
        dtype: string
      - name: category
        dtype: string
      - name: source
        dtype: string
      - name: L2-category
        dtype: string
      - name: comment
        dtype: string
      - name: split
        dtype: string
    splits:
      - name: dev
        num_bytes: 102763038
        num_examples: 4329
      - name: test
        num_bytes: 148195795
        num_examples: 6666
    download_size: 238168349
    dataset_size: 250958833
configs:
  - config_name: chinese_culture
    data_files:
      - split: test
        path: chinese_culture/test-*
  - config_name: default
    data_files:
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*

Large-scale Multi-modality Models Evaluation Suite

Accelerating the development of large-scale multi-modality models (LMMs) with lmms-eval

🏠 Homepage | 📚 Documentation | 🤗 Huggingface Datasets

This Dataset

This is a formatted version of the Chinese 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},
}