facebook/WearableQA
WearableQA A benchmark for health reasoning over real-world wearable data. WearableQA comprises 4,084 ten-option multiple-choice questions built from the wearable time series, blood biomarkers, and demographics of 200 real users, each with up to about 500 days of daily measurements. Unlike benchmarks built on synthetic or idealized signals, it preserves authentic wearable distributions — device noise, missing days, and inter-individual variability included. 📄 Paper:… See the full description on the dataset page: https://huggingface.co/datasets/facebook/WearableQA.
| Author / organization | |
|---|---|
| License (as declared) | cc-by-nc-4.0 |
| Downloads | 283 (as reported by Hugging Face) |
| Likes | 16 |
| Created | 3 September 2026 |
| Last updated at source | 3 September 2026 |
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Connected in the knowledge graph
- Nixon/Phi-4-mini-instruct-WearableQA-GGUFModel · used to train
- WearableQA: A Benchmark for Health Reasoning over Real-World Wearable DataPaper · cites
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