makneeee/

bioasq_medium_1m

Pre-built DiskANN indices for the BioASQ Medium 1M dataset from VectorDBBench, sharded for distributed vector search.

Source: VectorDBBench (BioASQ) Vectors: 1,000,000 Dimensions: 1024 Data type: float32 Queries: 10,000 Distance: L2

R (graph degree): 16, 32, 64 L (build beam width): 100 PQ bytes: 256

shard_3: 3 shards x ~333,333 vectors shard_5: 5… See the full description on the dataset page: https://huggingface.co/datasets/makneeee/bioasq_medium_1m.