JRQi/Global-MMLU-emb

Dataset Description 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.

<iframe src="https://silytics.si/embed/item/6501e75a-f1b7-49ea-8cdc-bb96dace1592" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.