---
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](https://gist.github.com/ashvardanian/301b0614252941ac8a3137ac72a18892) Gist to parse the files.