README.md

metadata

dataset_info:
  features:
    - name: index
      dtype: int64
    - name: question
      dtype: string
    - 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: image
      dtype: image
    - name: source
      dtype: string
    - name: l2-category
      dtype: string
    - name: comment
      dtype: string
    - name: split
      dtype: string
  splits:
    - name: dev
      num_bytes: 103845260.875
      num_examples: 4377
    - name: test
      num_bytes: 149612780.25
      num_examples: 6718
  download_size: 240192616
  dataset_size: 253458041.125
configs:
  - config_name: default
    data_files:
      - split: dev
        path: data/dev-*
      - split: test
        path: data/test-*

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

🏠 Homepage | 📚 Documentation | 🤗 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},
}