Breakup Responses Dataset: A Cross-Sectional Survey of Emotional Distress Coping Behaviors and Psychological Recovery Following Romantic Relationship Dissolution

This dataset contains responses from 4,333 participants who completed an anonymous cross-sectional online questionnaire investigating the psychological and behavioural consequences of romantic relationship dissolution. The survey was designed to assess emotional distress, coping behaviours, social withdrawal, recovery perception and suicide-related risk factors following a breakup. The dataset consists of 26 variables, including one timestamp variable and 25 questionnaire items. The questionnaire captures demographic characteristics relationship history breakup characteristics emotional well-being behavioral changes coping strategies perceived social support and recovery status. No personally identifiable information was collected. The dataset is suitable for psychological behavioural health, public health and machine learning research involving mental health prediction, risk assessment and recovery modelling. Dataset Characteristics * Number of observations: 4,333 * Number of variables: 26 * File format: Comma Separated Value (CSV) * Data type: Structured survey dataset * Collection method: Anonymous self-administered online questionnaire * Language: English This dataset can be used for: * Mental health prediction * Emotional distress assessment * Suicide risk prediction * Psychological resilience analysis * Behavioral health research * Machine learning classification and prediction * Public health and social science studies * Development of mental health decision support systems本数据集包含4333名完成匿名横断面在线问卷的参与者的回复数据，该问卷旨在探究恋爱关系破裂后的心理与行为后果。本调查旨在评估分手后的情绪困扰、应对行为、社交退缩、康复感知及自杀相关风险因素。本数据集共包含26个变量，其中1个为时间戳变量，其余25个为问卷条目。问卷内容涵盖人口统计学特征、恋爱史、分手相关特征、情绪健康状况、行为变化、应对策略、感知社会支持及康复状态。本数据集未采集任何个人可识别信息，适用于心理与行为健康、公共卫生领域，以及涉及心理健康预测、风险评估与康复建模的机器学习研究。 数据集特征 * 观测样本量：4333 * 变量数量：26个 * 文件格式：逗号分隔值（Comma Separated Value，CSV） * 数据类型：结构化问卷数据集 * 收集方式：匿名自行填写的在线问卷 * 语言：英语 本数据集可应用于以下研究方向： * 心理健康预测 * 情绪困扰评估 * 自杀风险预测 * 心理韧性分析 * 行为健康研究 * 机器学习分类与预测任务 * 公共卫生与社会科学研究 * 心理健康决策支持系统开发