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@@ -7,6 +7,10 @@ language:
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  pretty_name: Wikpedia Paragraphs MPNet Embeddings
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- Embeddings of the [english Wikipedia](https://huggingface.co/datasets/wikipedia) [paragraphs](https://huggingface.co/datasets/olmer/wiki_paragraphs) using [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) sentence transformers encoder.
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- The dataset contains 43 911 155 paragraphs from 6 458 670 Wikipedia articles. The size of each paragraph varies from 20 to 2000 characters.
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- For each paragraph there is an embedding of size 768. Embeddings are stored in numpy files, 1 000 000 embeddings per file. For each embedding file, there is an ids file that contains the list of ids of the corresponding paragraphs.
 
 
 
 
 
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  pretty_name: Wikpedia Paragraphs MPNet Embeddings
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+ Embeddings of the [english Wikipedia](https://huggingface.co/datasets/wikipedia) [paragraphs](https://huggingface.co/datasets/olmer/wiki_paragraphs) using [all-mpnet-base-v2](https://huggingface.co/sentence-transformers/all-mpnet-base-v2) sentence transformers encoder.
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+ The dataset contains 43 911 155 paragraphs from 6 458 670 Wikipedia articles.
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+ The size of each paragraph varies from 20 to 2000 characters.
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+ For each paragraph there is an embedding of size 768.
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+ Embeddings are stored in numpy files, 1 000 000 embeddings per file.
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+ For each embedding file, there is an ids file that contains the list of ids of the corresponding paragraphs.
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+ __Be careful, dataset size is 151Gb__.