Ayurvedic Dosha Classification Dataset
Overview
This dataset contains 5,000 records related to Ayurvedic dosha classification, a traditional Indian system that categorizes individuals based on physical, mental, and behavioral characteristics. Each record consists of various attributes, such as body frame, hair type, skin complexion, eating habits, and mental activity, along with the corresponding dosha type—Vata, Pitta, or Kapha.
Dataset Features
The dataset comprises 26 columns, including:
Physical Attributes: Body Frame, Type of Hair, Color of Hair, Skin, Complexion, Body Weight, Nails, Teeth, Joints.
Behavioral & Psychological Traits: Mental Activity, Mood, Memory, Sleep Pattern, Dreams, Nature, Social Relations.
Physiological Characteristics: Hunger, Body Temperature, Body Energy, Pace of Performing Work.
Lifestyle Factors: Eating Habit, Reaction under Adverse Situations, Weather Preferences.
Target Variable: Dosha (Vata, Pitta, Kapha) - The Ayurvedic body constitution.
Usage
This dataset is ideal for:
Machine Learning Applications: Classification models to predict an individual's Ayurvedic dosha.
Health & Wellness Research: Analyzing patterns in Ayurvedic body constitutions.
Holistic Healthcare Studies: Integrating traditional wisdom with modern data science.
Acknowledgments
This dataset is inspired by Ayurvedic principles and is useful for educational and research purposes.