README.md

metadata

dataset_info:
  features:
    - name: question_id
      dtype: string
    - name: image
      dtype: image
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: image_source
      dtype: string
    - name: capability
      dtype: string
  splits:
    - name: test
      num_bytes: 77298608
      num_examples: 218
  download_size: 67180444
  dataset_size: 77298608
configs:
  - config_name: default
    data_files:
      - 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 MM-Vet. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@misc{yu2023mmvet,
      title={MM-Vet: Evaluating Large Multimodal Models for Integrated Capabilities}, 
      author={Weihao Yu and Zhengyuan Yang and Linjie Li and Jianfeng Wang and Kevin Lin and Zicheng Liu and Xinchao Wang and Lijuan Wang},
      year={2023},
      eprint={2308.02490},
      archivePrefix={arXiv},
      primaryClass={cs.AI}
}