The dataset was created to contribute to Swahili language resources for natural language processing
This dataset was developed for research on Amharic Visual Question Answering (AVQA) systems for Ethi
This research developed a Kencorpus Swahili Question Answering Dataset KenSwQuAD from raw data of Swahili language, which is a low resource language predominantly spoken in Eastern African and also has speakers in other parts of the world. Question Answering datase
Visual Question Answering (VQA) is a Vision-to-Text (V2T) task that integrates visual features of im