MuRAL: A Multi-Resident Ambient Sensor Dataset Annotated with Natural Language for Activities of Daily Living

Researchers have released MuRAL, a new dataset containing over 21 hours of multi-resident smart home sensor data with natural language annotations for training AI models. The dataset aims to improve Large Language Models' ability to understand human activities in complex smart home environments, though current LLMs still struggle with key tasks like resident identification and activity prediction.