configs:
- config_name: app_screens
default: true
data_files:
- split: app_screens
path:
- app_screens.jsonl.zst
- config_name: app_section_screens
data_files:
- split: app_section_screens
path:
- app_section_screens.jsonl.zst
- config_name: app_sections
data_files:
- split: app_sections
path:
- app_sections.jsonl.zst
- config_name: app_sections_with_app_screens
data_files:
- split: app_sections_with_app_screens
path:
- app_sections_with_app_screens.jsonl.zst
- config_name: app_versions
data_files:
- split: app_versions
path:
- app_versions.jsonl.zst
- config_name: apps
data_files:
- split: apps
path:
- apps.jsonl.zst
- config_name: trending_filter_tags
data_files:
- split: trending_filter_tags
path:
- trending_filter_tags.jsonl.zst
annotations_creators:
- found
language:
- en
license: unknown
multilinguality:
- monolingual
pretty_name: User Interface (Navigation) Corpus
size_categories:
- 100K<n<1M
task_categories:
- image-segmentation
- image-feature-extraction
tags:
- ui
- navigation
- video
- image
- operator
User Interface (Navigation) Corpus
Overview
This dataset serves as a collection of various images of, videos and metadata of mobile (both iOS and Android) and web user interfaces as well as tags and text extractions associated to them. Dataset also includes user interface navigation annotations and videos related to them. One of the possible use cases of this dataset is training a UI navigation agent.
Dataset Structure
The resources of this dataset are packed into independent TAR splits, however their use is optional as JSONLs include original file links. TAR archives can be extracted independently but it is recommended to work with the full set of resources if a fully local workflow is required.
Subsets
app_screens- Metadata of mobile and web screens.app_section_screens- Groups of sections and screens.app_sections- Annotations for app screens.app_sections_with_app_screens- Links app sections to their respective screens.app_versions- Version IDs separating different revisions of imagery data relative to the time they were taken.apps- Application information.trending_filter_tags- Most popular screen filtering tags.
License
The dataset contains screenshots, recordings, and logo materials from various applications and sources that are not owned by the dataset maintainers. These resources remain the property of their respective creators.