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license: cc-by-sa-3.0
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license: cc-by-sa-3.0
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## Semantic search over the 44 million of English Wikipedia paragraphs using sentence transformers encoder.
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The dataset contains:
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- 43 911 155 paragraphs from 6 458 670 wikipedia articles stored in a zip archive;
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- FAISS index with the embeddings;
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- Retriever module for semantic search over the paragraphs.
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The size of each paragraph varies from 20 to 2000 characters.
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The embedding vector size is 768.
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The index is 4-bit-quantized 2-level IVF16384_HNSW32 constructed with the [FAISS library](https://github.com/facebookresearch/faiss).
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Sentence encoder: [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2).
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