metadata

license: cc-by-4.0
dataset_info:
  features:
    - name: screen_id
      dtype: string
    - name: question
      dtype: string
    - name: ground_truth
      list:
        - name: full_answer
          dtype: string
        - name: ui_elements
          list:
            - name: bounds
              sequence: float64
            - name: text
              dtype: string
            - name: vh_index
              dtype: int64
    - name: file_name
      dtype: string
    - name: image
      dtype: image
  splits:
    - name: train
      num_bytes: 8162486352.98
      num_examples: 68980
    - name: validation
      num_bytes: 1057181449.778
      num_examples: 8618
    - name: test
      num_bytes: 951399950.724
      num_examples: 8427
  download_size: 3324988803
  dataset_size: 10171067753.481998
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
task_categories:
  - question-answering
language:
  - en
pretty_name: ScreenQA
size_categories:
  - 10K<n<100K

Dataset Card for ScreenQA

Question answering on RICO screens: google-research-datasets/screen_qa.

Citation

BibTeX:

@misc{hsiao2024screenqa,
      title={ScreenQA: Large-Scale Question-Answer Pairs over Mobile App Screenshots},
      author={Yu-Chung Hsiao and Fedir Zubach and Maria Wang and Jindong Chen},
      year={2024},
      eprint={2209.08199},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}