Datasets:

lmms-lab
/

POPE

dataset_info:
  features:
    - name: id
      dtype: string
    - name: question_id
      dtype: string
    - name: question
      dtype: string
    - name: answer
      dtype: string
    - name: image_source
      dtype: string
    - name: image
      dtype: image
    - name: category
      dtype: string
  splits:
    - name: test
      num_bytes: 1471200135
      num_examples: 9000
  download_size: 255022914
  dataset_size: 1471200135
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 POPE. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@article{li2023evaluating,
  title={Evaluating object hallucination in large vision-language models},
  author={Li, Yifan and Du, Yifan and Zhou, Kun and Wang, Jinpeng and Zhao, Wayne Xin and Wen, Ji-Rong},
  journal={arXiv preprint arXiv:2305.10355},
  year={2023}
}