A Data Descriptor on the Uptake and Help-Seeking Behaviour Changes from a Pidgin English Mental Health First Aid Chatbot for Lagos University Students

This study addresses a current research gap in Computer Science concerning Developing an AI-Powered Chatbot for Mental Health First Aid in Pidgin English for University Students in Lagos, Nigeria: Uptake and Help-Seeking Behavior Changes in Nigeria. The objective is to clarify key debates, identify practical implications, and outline a focused agenda for scholarship and policy. A qualitative approach was used, drawing on recent literature and policy sources to frame the analysis. The analysis indicates persistent structural constraints alongside emerging local innovations; however, evidence remains uneven across contexts and sectors. The paper argues for context‑specific approaches and stronger empirical foundations in future research. Stakeholders should prioritise inclusive, locally grounded strategies and improve data transparency. Developing an AI-Powered Chatbot for Mental Health First Aid in Pidgin English for University Students in Lagos, Nigeria: Uptake and Help-Seeking Behavior Changes, Nigeria, Africa, Computer Science, data descriptor This structured abstract provides a standardised summary to support rapid screening, indexing, and assessment of scholarly contribution.