README.md

---
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](https://github.com/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}
}
```