
Data is the lifeblood of AI, and for too long, the lack of annotated Somali text has hindered progress in NLP. Today, we are changing that by releasing a dataset of 100,000 sentences, meticulously annotated by native speakers for part-of-speech tagging and named entity recognition.
This dataset is now available on our repository for public use. We hope this resource will serve as a foundational building block for researchers worldwide working on Somali language understanding and generation.
A dedicated researcher and contributor to SAIL's mission of advancing Somali-language AI technologies and fostering innovation in the field.
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