metadata
license: apache-2.0
task_categories:
- sentence-similarity
pretty_name: Wikipedia UForm Embeddings for Nearest Neighbors Search
size_categories:
- 1M<n<10M
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.