Update README.md

README.md

@@ -1,3 +1,29 @@
 ---
 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.