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AfriGuard is a new, culturally grounded multilingual dataset for studying harmful intent and refusal behavior across 10 African languages and English. This work is critical for…
Africa-Papers is a new 10-billion-token academic corpus specifically designed to address the severe underrepresentation of African scholarship in large language model training…
A new dataset, AfriBED, has been created to evaluate and reduce speaker-attribute bias in Automatic Speech Recognition (ASR) systems for low-resource African languages,…
AfriSwitch is a new 61.36-hour benchmark dataset of human-transcribed, real-world code-switched speech across 16 African languages. It reveals that current AI speech recognition…
This study evaluates deep learning object detection models using AgriAISeg, a real-world multi-plant dataset manually collected from Nigerian farms. The research aims to improve…
A new multilingual corpus named BOUTEF has been developed to specifically study fake news in North Africa, focusing on Algeria and Tunisia. This dataset is crucial for advancing…
The AfriSUD project introduces the first large-scale collection of syntactically annotated treebanks specifically for nine diverse African languages, aiming to bridge a…
