WearableQA: A Benchmark for Health Reasoning over Real-World Wearable Data
WearableQA, a benchmark comprising 4,084 10-option multiple-choice questions constructed from the wearable time series, blood biomarkers, and demographics of 200 real users, provides a realistic and diagnostic benchmark for evaluating LLM reasoning over real-world wearable data.
Ji Soo Lee, Xi-Lun Chen, Pierce Chuang et al.
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