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README.md

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+---
+license: mit
+task_categories:
+- feature-extraction
+tags:
+- vector-search
+- ann-benchmarks
+- diskann
+- minio
+size_categories:
+- 1M<n<10M
+---
+
+# SIFT1M Vector Search Dataset
+
+1 million 128-dimensional SIFT descriptor vectors, a standard ANN benchmark.
+
+## Dataset Details
+- **Vectors**: 1,000,000
+- **Dimensions**: 128
+- **Queries**: 10,000
+- **Source**: [texmex corpus](http://corpus-texmex.irisa.fr/)
+
+## Shard Configurations
+
+| Config | Shards | Vectors/Shard | .indices | .vectors |
+|--------|--------|---------------|----------|----------|
+| shard_3 | 3 | 333,333 | 651MB | 163MB |
+| shard_5 | 5 | 200,000 | 391MB | 98MB |
+| shard_7 | 7 | 142,857 | 279MB | 70MB |
+| shard_10 | 10 | 100,000 | 195MB | 49MB |
+
+## DiskANN Parameters
+- R: 64, L: 100, Distance: L2
+
+## Usage
+```python
+from huggingface_hub import snapshot_download
+snapshot_download("maknee/sift1m", allow_patterns=["fbin/*", "diskann/shard_5/*"], local_dir="./sift1m")
+```