wincode/HESA-v2

HESA-v1是一个大规模合成数据集，旨在模拟人类情感状态、计算机使用行为、环境背景和智能AI自适应响应之间的复杂关系。该数据集专为训练新一代系统而设计，包括情感感知操作系统、自适应通用人工智能系统、智能辅导系统、情感智能助手、认知AI系统和以人为中心的计算平台。每个样本捕捉一个完整的人机交互快照，将心理状态、环境条件、系统遥测、行为信号和AI自适应响应结合到一个结构丰富的JSON记录中。数据集包含500个样本，涵盖28种情感类别、25个国家、30种职业、16种MBTI人格类型等，适用于情感分类、自适应UI/UX系统、智能辅导、倦怠预测等多种研究用途。HESA-v1 is a large-scale synthetic dataset designed to simulate the complex relationship between human emotional states, computer usage behavior, environmental context, and intelligent AI adaptive responses. This dataset was engineered for training next-generation emotion-aware operating systems, adaptive AGI systems, intelligent tutoring systems, emotionally intelligent assistants, cognitive AI systems, and human-centered computing platforms. Each sample captures a complete human-computer interaction snapshot — combining psychological state, environmental conditions, system telemetry, behavioral signals, and AI adaptive responses into one richly structured JSON record.