The Somalia Mortality Risk Factors & Prediction Dataset is a structured, AI-ready dataset designed to support advanced analytics, machine learning, and time-series forecasting of mortality trends in Somalia. The dataset integrates key multi-sectoral risk indicators used to understand mortality patterns, vulnerability dynamics, and population-level health outcomes.

The Somali Twitter Hate Speech Detection Dataset is a large-scale, AI-ready text corpus collected from Twitter (X) using automated data extraction tools and official APIs. It is designed to support advanced research in hate speech detection, sentiment analysis, natural language processing (NLP), and social impact analytics in the Somali language.

The Somalia SMART Survey Mortality & Nutrition Dataset provides structured, high-quality data collected using the internationally recognized SMART methodology. Designed for advanced analytics and AI applications, the dataset spans multiple regions of Somalia and supports modelling of population health, nutrition status, mortality patterns, and vulnerability profiles