README.md

metadata

dataset_info:
  features:
    - name: question_id
      dtype: string
    - name: image
      dtype: image
    - name: question
      dtype: string
    - name: answer
      sequence: string
    - name: segmentation
      sequence: float32
    - name: bbox
      sequence: float32
    - name: iscrowd
      dtype: int8
    - name: file_name
      dtype: string
  splits:
    - name: val
      num_bytes: 1273447836
      num_examples: 7573
    - name: test
      num_bytes: 843938573
      num_examples: 5023
  download_size: 2053385976
  dataset_size: 2117386409
configs:
  - config_name: default
    data_files:
      - split: val
        path: data/val-*
      - 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 RefCOCOg. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@inproceedings{kazemzadeh-etal-2014-referitgame,
    title = "{R}efer{I}t{G}ame: Referring to Objects in Photographs of Natural Scenes",
    author = "Kazemzadeh, Sahar  and
      Ordonez, Vicente  and
      Matten, Mark  and
      Berg, Tamara",
    editor = "Moschitti, Alessandro  and
      Pang, Bo  and
      Daelemans, Walter",
    booktitle = "Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing ({EMNLP})",
    month = oct,
    year = "2014",
    address = "Doha, Qatar",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D14-1086",
    doi = "10.3115/v1/D14-1086",
    pages = "787--798",
}