Datasetpublic

maknee/sift1m

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… See the full description on the dataset page: https://huggingface.co/datasets/maknee/sift1m.

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Dataset Card

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

python

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

Citation

bibtex

@dataset{huggingface_embeddings_maknee_sift1m,
  title={SIFT1M Database Embeddings Dataset},
  author={Henry Zhu},
  year={2026},
  url={https://huggingface.co/datasets/maknee/sift1m}
}