Jatin-123123/reasoning_with_users_data

该数据集包含用户的个人信息、健康状况、健身和饮食相关偏好以及健身目标等。具体字段包括年龄、BMI、慢性疾病状况、饮食偏好、健身水平、日常锻炼投入、饮食条件、饮食限制、食物过敏、性别、目标时间框架、身高、生活方式活动水平、不喜欢的餐食、喜欢的锻炼方式、主要健身目标、体育参与度、目标体重、体重、工作强度和用户ID等。数据集划分为训练集，可供机器学习模型训练使用。

The dataset includes user personal information, health status, fitness and dietary preferences, as well as fitness goals. Specific fields include age, BMI, chronic conditions, cuisine preferences, current fitness level, daily exercise dedication, dietary conditions, dietary restrictions, food allergies, gender, goal timeframe in months, height in centimeters, lifestyle activity level, non-preferred meals, preferred workout, primary fitness goal, sports engagement, target weight goal in kilograms, weight in kilograms, work intensity, and user ID. The dataset is split into a training set for machine learning model training.