KenSwQuAD -- A Question Answering Dataset for Swahili Low Resource Language. (arXiv:2205.02364v1 [cs.CL])

Web: http://arxiv.org/abs/2205.02364

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 datasets are important for machine comprehension
of natural language processing tasks such as internet search and dialog
systems. However, before such machine learning systems can perform these tasks,
they need training data such as the gold standard Question Answering (QA) set …

arxiv dataset language question answering