The ALFFA Swahili News dataset is a speech corpus designed for automatic speech recognition (ASR) research in Swahili, an under-resourced African language. This dataset is part of the ALFFA (African Languages in the Field: speech Fundamentals and Automation) project and contains approximately 11.8 hours of broadcast news audio from Radio France International's Swahili service, recorded between November 2010 and March 2011.