rootsautomation/RICO-Screen2Words

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 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