Dataset Viewer
Full Screen Viewer
Full Screen
The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
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.fbinwith 1M vectors to construct the index. - query:
query.public.100K.fbinwith 100K vectors to lookup in the index. - truth:
groundtruth.public.100K.ibinwith 10x results for every one of the 100K queries.
Use the ashvardanian/read_matrix.py Gist to parse the files.
- Downloads last month
- 46