CueSupport-MH

CueSupport-MH is a curated and fully annotated benchmark dataset designed for advancing research in explainable mental health risk detection and response safety evaluation in online conversational settings. The dataset comprises 6,400 high-quality instances collected from publicly available Reddit communities, including r/mentalhealth, r/depression, and r/SuicideWatch, reflecting real-world expressions of psychological distress and support-seeking behavior. Each instance is annotated across multiple dimensions, including (i) mental health risk levels (No Risk, Mild Risk, Moderate Risk, High Risk), (ii) span-based evidence highlighting linguistically grounded risk indicators, (iii) protective cues capturing coping mechanisms and support signals, and (iv) response safety labels categorizing replies as supportive, neutral, dismissive, or harmful. The dataset is carefully balanced across risk categories and enriched through controlled augmentation to ensure robust evaluation. CueSupport-MH is specifically designed to support interpretable and reasoning-aware AI systems by enabling joint modeling of risk detection and response appropriateness, addressing key limitations of existing benchmarks that focus solely on classification. This resource facilitates research in explainable AI, conversational safety, and mental health NLP, and is released for academic use with strict adherence to ethical guidelines, including anonymization and the exclusion of personally identifiable information.