地球资源数据云——数据资源详情
心理健康数据集
该数据集《Mental Health Dataset》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Investigating the Connection Between Lifestyle, and Psychological factors 任务类型：文本多分类。 建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。 评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。 可用文件：Mental Health dataset1.csv。 This dataset compiles self - reported information from individuals to examine how professional background, work habits, stress patterns, and personal coping mechanisms influence mental health and emotional well - being. The data highlights the complex relationship between workplace engagement, lifestyle behavior, and mental resilience. Each observation includes the following categories: Demographic Attributes: Gender, Country, and Occupation Employment & Family Context: Employment type (SelfEmployed) and FamilyHistory of mental health conditions Lifestyle & Behavioral Factors: DaysIndoors, HabitsChange, and CopingStruggles representing lifestyle balance and adaptation to stress
摘要概览
该数据集《Mental Health Dataset》主要用于多分类任务，数据形态以文本为主，应用场景偏向医疗健康。 题目说明：Investigating the Connection Between Lifestyle, and Psychological factors
任务类型：文本多分类。
建议流程：先做文本清洗与分词，再比较 TF - IDF+线性模型 与 预训练语言模型。
评估建议：使用分层切分或交叉验证，优先关注 F1、Recall、AUC 等分类指标。
可用文件：Mental Health dataset1.csv。
This dataset compiles self - reported information from individuals to examine how professional background, work habits, stress patterns, and personal coping mechanisms influence mental health and emotional well - being. The data highlights the complex relationship between workplace engagement, lifestyle behavior, and mental resilience.
Each observation includes the following categories:
Demographic Attributes: Gender, Country, and Occupation
Employment & Family Context: Employment type (SelfEmployed) and FamilyHistory of mental health conditions
Lifestyle & Behavioral Factors: DaysIndoors, HabitsChange, and CopingStruggles representing lifestyle balance and adaptation to stress