Creative Commons Attribution 4.0 International (CC-BY 4.0)Roald EiselenRico KoenAlbertus KrugerJacques van Heerden2023-07-282023-05-012023-07-282023-05-012023-05-01https://hdl.handle.net/20.500.12185/621Contextual word/string embeddings for the forward flavour of the FLAIR architecture (Akbik et al., 2018). The embedding provides real-valued vector representations for Setswana text.Training data: Paragraphs: 515,961; Token count: 14,518,437; Vocab size: N/A; Embedding dimensions: 2,048;tnModules182.28MB (Zipped)