---
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")
```