Organization
Aletheia AI
AletheiaAING
# Building AI that speaks people's languages We are rooted in innovation and inclusivity. We bridge the gap between technology and humanity, creating AI solutions tailored to diverse cultural, linguistic, business and industrial landscapes. Most AI is built in a handful of languages, for a handful of contexts. We start from the other direction: the languages, accents, scripts and everyday…
Compare the published evidence
This profile connects the 2 model and dataset records shown below to their upstream cards and sources. The library counts describe SAVRN's coverage, rather than this publisher's entire output.
Published tasks: Text generation.
Reported licenses: cc-by-4.0, gemma. Open a record to review its specific license and conditions.
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Models
Datasets
African diacritization SFT (v2) 163,480 supervised examples for diacritic restoration across 40 African languages. Built for AletheiaAING/gemma-3-270m-african-diacritizer. Format Two different stripping operations, labelled stripstyle says which was applied, because they are not the same phenomenon: marksonly — removes combining marks: tone (à á â ǎ) and the