brady0127/sift1m-fanns-normal

SIFT1M Dataset to Evaluate (Filtered) Approximate Nearest Neighbor Search — Normal Variant This dataset is intended to benchmark Approximate Nearest Neighbor Search (ANNS) and Filtered Approximate Nearest Neighbor Search (FANNS) algorithms. It is based on the classic SIFT1M dataset (1,000,000 base vectors and 10,000 query vectors, each 128-dimensional). Because SIFT1M ships without any structured metadata, we augment it with synthetic attributes drawn from a normal (Gaussian)… See the full description on the dataset page: https://huggingface.co/datasets/brady0127/sift1m-fanns-normal.