200人阿育吠陀体质评估数据集，支持智能健康研究
Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
- 基于英印双语问卷，24道题评估体征、饮食等特征
- 自动化评分映射到三大体质（Vata/Pitta/Kapha）得分
- 适合计算医学、个性化健康与阿育吠陀智能化研究
本数据集包含200名个体对标准化双语（英文-印地语）阿育吠陀体质评估问卷的响应，旨在依据经典阿育吠陀理论评估个体的生理、心理及身体特征。问卷共24个选择题，涵盖体型、食欲、睡眠模式、精力水平和气质等维度。遵循AYUSH/CCRAS指南设计，所有问题为必答题且中立表述，以减少偏差；参与者不接触三因（Vata、Pitta、Kapha）标签。数据通过Google Forms收集，支持自动评分，将个体反应映射至各体质特异性得分。该数据集为计算智能、阿育吠陀研究及个性化健康分析提供结构化平台，可用于特征分布、相关性分析及预测建模，亦可作为未来基于体质研究及智能健康应用开发的参考。
原文摘要 · Abstract (English)
This dataset provides responses to a standardized, bilingual (English-Hindi) Prakriti Assessment Questionnaire designed to evaluate the physical, physiological, and psychological characteristics of individuals according to classical Ayurvedic principles. The questionnaire consists of 24 multiple-choice items covering body features, appetite, sleep patterns, energy levels, and temperament. It was developed following AYUSH/CCRAS guidelines to ensure comprehensive and accurate data collection. All questions are mandatory and neutrally phrased to minimize bias, and dosha labels (Vata, Pitta, Kapha) are hidden from participants. Data were collected via a Google Forms deployment, enabling automated scoring of responses to map individual traits to dosha-specific scores. The resulting dataset provides a structured platform for research in computational intelligence, Ayurvedic studies, and personalized health analytics, supporting analysis of trait distributions, correlations, and predictive modeling. It can also serve as a reference for future Prakriti-based studies and the development of intelligent health applications.
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