Semantic Annotations for the RICO dataset

Contact - [email protected]

Overview

The RICO Semantics dataset consists of around 500k human annotations on the RICO dataset identifying various icons based on their shapes and semantics, and associations between selected general UI elements (like icons, form fields, radio buttons, text inputs) and their text labels. The annotations also include human annotated bounding boxes which are more accurate and have a greater coverage of UI elements than using bounding boxes from the view hierarchy. This dataset enables building models for understanding the contents of user interfaces and hence can act as a stepping stone for improving the accessibility of user interfaces.

The datasets are provided "AS IS" without any warranty, express or implied. Google disclaims all liability for any damages, direct or indirect, resulting from the use of this dataset.

Important Links

• Paper - Towards Better Semantic Understanding of Mobile Interfaces
• Data processing and modeling code
• RICO dataset and paper.

Data

The RICO Semantics datasets augments the RICO dataset with high-quality human annotations aimed at increasing the semantic understanding of various UI elements. We provide annotations for 3 different tasks: Icon Shape consisting of icon annotations based on their shape, Icon Semantics consists of icon annotaitons based on their functionality and Label Association identifying various UI elements and associating these UI elements with their text labels. Compared to previous approaches which rely on bounding boxes from the View Hierarchy, we release bounding boxes manually annotated by human raters. We observe that this results in a significantly higher coverage for UI elements. In total, the annotations include 350k annotations for Icon Shape, 78k annotations for Icon Semantics and 66k UI elements with associated text labels. Please refer to [our paper] for more details.

Annotation Representation

The annotations are released as JSON files. Each entry in the JSON file contains the ID of the raw RICO data in the field: screen_id. All the annotations are present in the field screen_elements. This field contains a list of annotations for the UI elements present. The annotation data includes the relative coordinates (normalized to the range [0, 1]) of the bounding box for each label and the class associated with the bounding box. The screen elements are not in any particular order. The annotations are also split into train, val and test splits. These splits correspond to the numbers reported in Section 4 of our paper.

License

The RICO Semantics dataset is released under CC BY-SA 4.0 license. For the full license, see LICENSE. Please cite the following paper if you use the dataset in your work:

@article{https://doi.org/10.48550/arxiv.2210.02663,
  author    = {Srinivas Sunkara and
               Maria Wang and
               Lijuan Liu and
               Gilles Baechler and
               Yu-Chung Hsiao and
               Jindong Chen and
               Abhanshu Sharma and
               James Stout},
  title     = {Towards Better Semantic Understanding of Mobile Interfaces},
  journal   = {CoRR},
  volume    = {abs/2210.02663},
  year      = {2022},
  url       = {https://arxiv.org/abs/2210.02663},
  eprinttype = {arXiv},
  eprint    = {2210.02663},
  timestamp = {Thu, 06 Oct 2022 15:00:01 +0100},
}

Dataset Metadata

The following table is necessary for this dataset to be indexed by search engines such as Google Dataset Search.

property	value
name	Rico Semantics dataset
alternateName	Rico Semantic Annotations dataset
url	https://github.com/google-research-datasets/rico-semantics
description	The dataset adds annotations to the RICO dataset to improve the semantic understanding of UIs. This dataset consists of human annotated bounding boxes and class labels for 3 tasks: Icon Shape, Icon Semantics and Label Association.
provider	property value name Google sameAs https://en.wikipedia.org/wiki/Google
citation	https://identifiers.org/arxiv:2201.12409