This dataset is specifically designed for the Word Sense Disambiguation (WSD) task in the Amharic language, consisting of 50,415 annotated sentences. Each sentence includes the correct sense for one o
This is an Amharic text corpus used to build different semantic models. Details about the dataset collection, different semantic models built with the dataset, and classification models are described