This dataset is designed to benchmark unsafe transition detection in mobile task automation across a variety of real-world mobile applications. It includes multimodal input data per UI state and corresponding human-annotated safety labels.
7 application folders (e.g., lyft/, phone/, music/, etc.)
Each folder contains a series of samples in the form:
appname_1.json: the serialized HTML GUI representation… See the full description on the dataset page:
https://huggingface.co/datasets/RLinter/MobileGuard.
