datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wearable-mmwave-radar-datasetwearable-ai
EgoWearBench Dataset (ECCV 2026)
Part of the Wearable AI Workshop at ECCV 2026.
A benchmark of egocentric (first-person, head-mounted wearable camera) videos paired with three complementary video question-answering tasks for evaluating wearable-AI assistants on real-world everyday activity videos.
▶ Baseline code & evaluation scripts: see starter_kit/README.md. The starter kit ships inside this repo, so git clone gives you the code and the data together.
Tasks… See the full description on the dataset page: https://huggingface.co/datasets/facebook/wearable-ai.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.wearable-agent-trajectory-annotations
Wearable Agent Trajectory Annotation Dataset
Dataset Summary
50 wearable agent trajectories annotated by 5 LLM-simulated annotator personas
using the agenteval-schema-v1 JSON schema, across two calibration phases
(500 annotation records total). Designed to benchmark annotation-quality pipelines
for agentic AI systems.
Each trajectory captures a wearable AI agent responding to a real-time sensor event
(health alert, privacy-sensitive context, location trigger… See the full description on the dataset page: https://huggingface.co/datasets/finaspirant/wearable-agent-trajectory-annotations.AIDLAB-HAR
AIDLAB-HAR
AIDLAB-HAR is a chest-worn inertial-sensor dataset for exercise recognition and repetition-marker detection. It contains synchronized recorder-frame acceleration and orientation quaternions sampled at 50 Hz.
The dataset accompanies Real-Time Sensor-Based Human Activity Recognition for eFitness and eHealth Platforms. This repository provides a corrected EDF/CSV distribution and viewer-friendly Parquet tables generated reproducibly from the immutable public source.… See the full description on the dataset page: https://huggingface.co/datasets/aidlab-wearables/AIDLAB-HAR.africa-wearable-device-security
African Wearable Device Security Dataset | Africa (original)
Size category: 10K<n<100K - Formats: parquet, optimized-parquet - Sector: health - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Health datasets help… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-wearable-device-security.wearable-and-stressBIG-IDEAs-Lab-Glycemic-Variability-and-Wearable-Device-DataWearable_TimeSeries_HealthRecommendation_Dataset
Wearable Time-Series Health Intervention Dataset
数据集概述
本数据集用于训练大语言模型，使其能够根据穿戴设备时间序列异常检测结果，生成符合 P3 与 PROCEED 框架的个性化健康干预方案。
数据集信息
数据集名称: Wearable_TimeSeries_HealthRecommendation_Dataset
数据格式: JSONL (每行一个 JSON 对象)
数据量: 87 条训练样本
字符数: 约 481,245 字符
用途: 监督微调 (SFT) 训练
数据格式
每条数据采用 ChatML 格式，包含以下结构：
{
"messages": [
{
"role": "system",
"content": "系统提示词，定义模型角色和输出要求"
},
{
"role": "user"… See the full description on the dataset page: https://huggingface.co/datasets/oscarzhang/Wearable_TimeSeries_HealthRecommendation_Dataset.Federated_Meta-learning_on_wearable_devices