JRQi/MKQA-emb
Dataset Description This is the MKQA 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/MKQA-emb.
| Author / organization | JRQi |
|---|---|
| Downloads | 253 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 5 February 2025 |
| Last updated at source | 12 November 2025 |
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253 now (-7 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 16 Oct 2026 Description: Dataset Description This is the MKQA 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 embed → Dataset Description This is the MKQA 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 embed
Changes detected by Silytics between refreshes of the source.
More from JRQi
- JRQi/Global-MMLU-embDataset
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