Holistix: A Dataset for Holistic Wellness Dimensions Analysis in Mental Health Narratives

--We introduce a dataset for classifying wellness dimensions in social media user posts, covering six key aspects: physical, emotional, social, intellectual, spiritual, and vocational. The dataset is designed to capture these dimensions in user-generated content, with a comprehensive annotation framework developed under the guidance of domain experts. This framework also includes labeling text spans from these posts to provide explanations that highlight the corresponding wellness aspects. We evaluate both traditional machine learning models and advanced transformer-based models for this multi-class classification task, with performance assessed using precision, recall, and F1-score, averaged over 10-fold cross-validation. Post-hoc explanations are applied to ensure the transparency and interpretability of model decisions. The proposed dataset contributes to region-specific wellness assessments in social media and paves the way for personalized well-being evaluations and early intervention strategies in mental health. Mental health disorders have become a critical global health problem, with more than a billion people worldwide affected by mental, neurological, and substance use disorders [1].