SNAPSHOT Study Data

该数据集是在五年时间内从250名参与者那里收集的多模态数据，包括生理测量和通信元数据。数据涵盖了来自可穿戴设备、手机使用情况以及调查回应的特征，共提取了317个特征进行分析。该数据集的规模涉及250名参与者在多个学期间的数据，参与者的群体各不相同。研究任务是基于收集到的数据，评估用于预测社交互动和行为模型的准确性。

This multimodal dataset was collected over a five-year period from 250 participants, encompassing physiological measurements and communication metadata. The data includes features derived from wearables, mobile phone usage, and survey responses, with a total of 317 features extracted for analysis. The dataset covers data across multiple academic semesters from a diverse group of 250 participants. The core research task of this dataset is to evaluate the accuracy of models used for predicting social interactions and behaviors based on the collected data.