This is the GlobalMMLU with query embeddings, which can be used jointly with Multilingual Embeddings for Wikipedia in 300+ Languages for doing multilingual passage retrieval, since the vectors are calculated via the same embedder Cohere Embed v3.
For more details about Global-MMLU, see the official dataset repo.
If you use our embedded queries, we kindly ask you to cite our work in which we created these embeddings:
@inproceedings{qi-etal-2025-consistency… See the full description on the dataset page:
https://huggingface.co/datasets/JRQi/Global-MMLU-emb.
