Languages
Each language gets a coverage map — models, datasets, research — and the gaps that are still open. The honest picture of where Ethiopian AI stands.
Amharic
51 models · 72 datasets · 64 papers
Afaan Oromo
44 models · 55 datasets · 11 papers
Tigrinya
53 models · 58 datasets · 24 papers
Somali
0 models · 2 datasets · 3 papers
Wolayttattoo
0 models · 3 datasets · 2 papers
Sidaamu Afoo
0 models · 5 datasets · 0 papers
English
17 models · 37 datasets · 31 papers
The gaps, side by side
Every language's coverage across the six tracked tasks — models plus datasets indexed. Click a language to isolate it; the missing axes are the open problems in Ethiopian AI.
Loading
