metadata

language:
  - en
license: cc-by-4.0
size_categories:
  - 10K<n<100K
task_categories:
  - image-to-text
  - text-generation
pretty_name: Widget Captioning
tags:
  - screens
  - mobile
  - phones
dataset_info:
  features:
    - name: screenId
      dtype: int64
    - name: captions
      sequence: string
    - name: view_hierarchy
      dtype: string
    - name: bbox
      sequence: float64
    - name: file_name
      dtype: string
    - name: file_name_semantic
      dtype: string
    - name: semantic_annotations
      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: image
      dtype: image
    - name: image_icon
      dtype: image
    - name: image_semantic
      dtype: image
  splits:
    - name: train
      num_bytes: 10278117710.220001
      num_examples: 41221
    - name: val
      num_bytes: 880438420.595
      num_examples: 3483
    - name: test
      num_bytes: 987366583.47
      num_examples: 3621
  download_size: 2945501992
  dataset_size: 12145922714.285
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: val
        path: data/val-*
      - split: test
        path: data/test-*

Dataset Card for RICO Widget Captioning

Widget Captioning is a dataset for providing captions for UI elements on mobile screens. It uses the RICO image database.

Dataset Details

Dataset Description

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

Dataset Sources

Uses

This dataset is for developing multimodal automations for mobile screens.

Direct Use

Enhancing screen readers
Screen indexing
Conversational mobile applications
Q&A on screens

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
bbox: The bounding box for the widget being captioned, relatively scaled with the image size so that coordinates are in [0, 1]
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.

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.
Widget Captioning rationale: Create a dataset that helps machines reason about UI elements on screens

Source Data

RICO: Mobile app screenshots, collected on Android devices.
Widget Captioning: Human annotated concise captions for widgets on screen

Data Collection and Processing

RICO: Human and automated collection of Android screens. ~9.8k free apps from the Google Play Store.
Widget Captioning: Takes the subset of screens used in RICO, 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.
Widget Captioning: 5.4k annotators through Amazon Mechanical Turk

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).

Widget Captioning

BibTeX:

@inproceedings{li2020widget,
  title={Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements},
  author={Li, Yang and Li, Gang and He, Luheng and Zheng, Jingjie and Li, Hong and Guan, Zhiwei},
  booktitle={Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  pages={5495--5510},
  year={2020}
}

APA:

Li, Y., Li, G., He, L., Zheng, J., Li, H., & Guan, Z. (2020, November). Widget Captioning: Generating Natural Language Description for Mobile User Interface Elements. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) (pp. 5495-5510).

Dataset Card Authors

Hunter Heidenreich, Roots Automation

Dataset Card Contact

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