This dataset is the official benchmark for the paper "The Multilingual Curse at the Retrieval Layer: Evidence from Amharic".
It provides a fixed 90/10 train–test split consisting of 68,000 query–passage pairs, specifically designed for evaluating and training dense, late-interaction, learned sparse, and cross-encoder retrieval models for the Amharic language.
GitHub Repository: rasyosef/amharic-neural-ir