ContextLabeler Dataset

ContextLabeler Dataset是由意大利国家研究委员会信息学与电信研究所创建的，包含从3名志愿者智能手机收集的超过45K数据样本。数据集以CSV格式发布，每个样本包含1332个与物理和虚拟传感器相关的特征，如运动传感器、运行应用、设备接近度和天气条件。数据收集过程在自然环境中进行，无任何用户行为限制，旨在为移动环境中的上下文感知解决方案提供真实数据源。该数据集适用于评估和开发上下文感知技术，如推荐系统、活动识别算法和无线通信协议。

The ContextLabeler Dataset was developed by the Institute of Informatics and Telematics of the National Research Council of Italy. It contains over 45,000 data samples collected from the smartphones of three volunteers. The dataset is released in CSV format, where each sample includes 1,332 features related to physical and virtual sensors, such as motion sensors, running applications, device proximity, and weather conditions. The data collection process was conducted in natural environments without any limitations on user behaviors, aiming to provide a realistic data source for context-aware solutions in mobile scenarios. This dataset is suitable for evaluating and developing context-aware technologies, including recommendation systems, activity recognition algorithms, and wireless communication protocols.