metadata

language:
  - en
license: cc-by-4.0
size_categories:
  - 10K<n<100K
task_categories:
  - image-to-text
pretty_name: Screen2Words
tags:
  - screens
  - mobile
  - phones
dataset_info:
  features:
    - name: screenId
      dtype: int64
    - name: captions
      sequence: string
    - name: file_name
      dtype: string
    - name: app_package_name
      dtype: string
    - name: play_store_name
      dtype: string
    - name: category
      dtype: string
    - name: average_rating
      dtype: float64
    - name: number_of_ratings
      dtype: string
    - name: number_of_downloads
      dtype: string
    - name: file_name_icon
      dtype: string
    - name: file_name_semantic
      dtype: string
    - name: semantic_annotations
      dtype: string
    - name: view_hierarchy
      dtype: string
    - name: image
      dtype: image
    - name: image_icon
      dtype: image
    - name: image_semantic
      dtype: image
  splits:
    - name: train
      num_bytes: 3618314253.896
      num_examples: 15743
    - name: val
      num_bytes: 520496985.148
      num_examples: 2364
    - name: test
      num_bytes: 956009390.03
      num_examples: 4310
  download_size: 2473562659
  dataset_size: 5094820629.073999
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: val
        path: data/val-*
      - split: test
        path: data/test-*

Dataset Card for Screen2Words

Screen2Words is a dataset providing screen summaries (i.e., image captions for mobile screens). It uses the RICO image database.

Dataset Details

Dataset Description

Curated by: Google Research, UIUC, Northwestern, University of Toronto
Funded by: Google Research
Shared by: Google Research
Language(s) (NLP): English
License: CC-BY-4.0

Dataset Sources

Repository:
- google-research-datasets/screen2words
- RICO raw downloads
Paper:
- Screen2Words: Automatic Mobile UI Summarization with Multimodal Learning
- Rico: A Mobile App Dataset for Building Data-Driven Design Applications

Uses

This dataset is for developing multimodal automations for mobile screens.

Direct Use

Automatic screen summarization & description
Language-Based UI retreival (given a UI, retreive similar interfaces)
Enhancing screen readers
Screen indexing
Conversational mobile applications

Dataset Structure

screenId: Unique RICO screen ID
image: RICO screenshot
image_icon: Google Play Store icon for the app
image_semantic: Semantic RICO screenshot; details are abstracted away to main visual UI elements
file_name: Image local filename
file_name_icon: Icon image local filename
file_name_semantic: Screenshot Image as a semantic annotated image local filename
captions: A list of string captions
app_package_name: Android package name
play_store_name: Google Play Store name
category: Type of category of the app
number_of_downloads: Number of downloads of the app (as a coarse range string)
number_of_ratings: Number of ratings of the app on the Google Play store (as of collection)
average_rating: Average rating of the app on the Google Play Store (as of collection)
semantic_annotations: Reduced view hierarchy, to the semantically-relevant portions of the full view hierarchy. It corresponds to what is visualized in image_semantic and has a lot of details about what's on screen. It is stored as a JSON object string.
view_hierarchy: Full view-hierarchy

Dataset Creation

Curation Rationale

RICO rationale: Create a broad dataset that can be used for UI automation. An explicit goal was to develop automation software that can validate an app's design and assess whether it achieves its stated goal.
Screen2Words rationale: Create a dataset that facilities the distillation of screenshots into concise summaries

Source Data

RICO: Mobile app screenshots, collected on Android devices.
Screen2Words: Human annotated screen summaries from paid contractors.

Data Collection and Processing

RICO: Human and automated collection of Android screens. ~9.8k free apps from the Google Play Store.
Screen2Words: Takes the subset of screens used in RICO-SCA, which eliminates screens with missing or inaccurate view hierarchies.

Who are the source data producers?

RICO: 13 human workers (10 from the US, 3 from the Philippines) through UpWork.
Screen2Words: 85 professional annotators

Citation

RICO

BibTeX:

@inproceedings{deka2017rico,
  title={Rico: A mobile app dataset for building data-driven design applications},
  author={Deka, Biplab and Huang, Zifeng and Franzen, Chad and Hibschman, Joshua and Afergan, Daniel and Li, Yang and Nichols, Jeffrey and Kumar, Ranjitha},
  booktitle={Proceedings of the 30th annual ACM symposium on user interface software and technology},
  pages={845--854},
  year={2017}
}

APA:

Deka, B., Huang, Z., Franzen, C., Hibschman, J., Afergan, D., Li, Y., ... & Kumar, R. (2017, October). Rico: A mobile app dataset for building data-driven design applications. In Proceedings of the 30th annual ACM symposium on user interface software and technology (pp. 845-854).

Screen2Words

BibTeX:

@inproceedings{wang2021screen2words,
  title={Screen2words: Automatic mobile UI summarization with multimodal learning},
  author={Wang, Bryan and Li, Gang and Zhou, Xin and Chen, Zhourong and Grossman, Tovi and Li, Yang},
  booktitle={The 34th Annual ACM Symposium on User Interface Software and Technology},
  pages={498--510},
  year={2021}
}

APA:

Wang, B., Li, G., Zhou, X., Chen, Z., Grossman, T., & Li, Y. (2021, October). Screen2words: Automatic mobile UI summarization with multimodal learning. In The 34th Annual ACM Symposium on User Interface Software and Technology (pp. 498-510).

Dataset Card Authors

Hunter Heidenreich, Roots Automation

Dataset Card Contact

hunter "DOT" heidenreich "AT" rootsautomation "DOT" com