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Datasets:
unum-cloud
/
ann-wiki-1m

Tasks:
Sentence Similarity
Size:
1M<n<10M
License:
Dataset card Files Community
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Dataset Summary

This dataset contains 256-dimensional vectors for a 1M sample of Wikipedia for Approximate Nearest Neighbors Search benchmarks.

Usage 

git lfs install
git clone https://huggingface.co/datasets/unum-cloud/ann-wiki-1m

Dataset Structure

The dataset contains three matrices:

  • base: base.1M.fbin with 1M vectors to construct the index.
  • query: query.public.100K.fbin with 100K vectors to lookup in the index.
  • truth: groundtruth.public.100K.ibin with 10x results for every one of the 100K queries.

Use the ashvardanian/read_matrix.py Gist to parse the files.

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