metadata
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
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
from huggingface_hub import snapshot_download
snapshot_download("maknee/sift1m", allow_patterns=["fbin/*", "diskann/shard_5/*"], local_dir="./sift1m")