wearable-data

WearableQA is a benchmark dataset of 4,084 multiple-choice questions for health reasoning over real-world wearable data, designed to evaluate AI models on longitudinal health data analysis.

WearableQA is a benchmark for evaluating large language models' reasoning over real-world wearable health data, using multiple-choice questions derived from longitudinal measurements.