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CohereLabs/wikipedia-2023-11-embed-multilingual-v3

Multilingual Embeddings for Wikipedia in 300+ Languages This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in all 300+ languages. The individual articles have been chunked and embedded with the state-of-the-art multilingual Cohere Embed V3 embedding model. This enables an easy way to semantically search across all of Wikipedia or to use it as a knowledge source for your RAG application. In total is it close to 250M paragraphs / embeddings.… See the full description on the dataset page: https://huggingface.co/datasets/CohereLabs/wikipedia-2023-11-embed-mul

Author / organizationCohereLabs
Downloads4.5K (as reported by Hugging Face)
Likes256
Created11 January 2024
Last updated at source25 March 2026
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  • 16 Oct 2026 Description: Multilingual Embeddings for Wikipedia in 300+ Languages This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in all 300+ languages. The individual articles have been chunked and embedded with the state-o → Multilingual Embeddings for Wikipedia in 300+ Languages This dataset contains the wikimedia/wikipedia dataset dump from 2023-11-01 from Wikipedia in all 300+ languages. The individual articles have been chunked and embedded with the state-o

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