README.md

metadata

dataset_info:
  features:
    - name: question_id
      dtype: string
    - name: question
      dtype: string
    - name: image
      dtype: image
    - name: image_id
      dtype: string
    - name: image_classes
      sequence: string
    - name: flickr_original_url
      dtype: string
    - name: flickr_300k_url
      dtype: string
    - name: image_width
      dtype: int64
    - name: image_height
      dtype: int64
    - name: set_name
      dtype: string
    - name: image_name
      dtype: string
    - name: image_path
      dtype: string
    - name: caption_id
      sequence: int64
    - name: caption_str
      sequence: string
    - name: reference_strs
      sequence: string
  splits:
    - name: train
      num_bytes: 6201208209
      num_examples: 21953
    - name: val
      num_bytes: 919878416
      num_examples: 3166
    - name: test
      num_bytes: 959971875
      num_examples: 3289
  download_size: 8064165124
  dataset_size: 8081058500
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - 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 TextCaps. It is used in our lmms-eval pipeline to allow for one-click evaluations of large multi-modality models.

@inproceedings{sidorov2019textcaps,
    title={TextCaps: a Dataset for Image Captioningwith Reading Comprehension},
    author={Sidorov, Oleksii and Hu, Ronghang and Rohrbach, Marcus and Singh, Amanpreet},
    journal={European Conference on Computer Vision},
    year={2020}
}