makneeee/openai_large_5m
OpenAI Large 5M - Sharded DiskANN Indices Pre-built DiskANN indices for the OpenAI Large 5M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (OpenAI) Vectors: 5,000,000 Dimensions: 1536 Data type: float32 Queries: 10,000 Distance: L2 DiskANN Parameters R (graph degree): 16, 32, 64 L (build beam width): 100 PQ bytes: 384 Shard Configurations shard_3: 3 shards x ~1,666,666… See the full description on the dataset page: https://huggingface.co/datasets/makneeee/openai_large_5m.
| Author / organization | makneeee |
|---|---|
| License (as declared) | other |
| Downloads | 475 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 19 February 2026 |
| Last updated at source | 21 February 2026 |
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475 now (+4 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: OpenAI Large 5M - Sharded DiskANN Indices Pre-built DiskANN indices for the OpenAI Large 5M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (OpenAI) Vectors: 5,000,000 Dimensions: 1536 D → OpenAI Large 5M - Sharded DiskANN Indices Pre-built DiskANN indices for the OpenAI Large 5M dataset from VectorDBBench, sharded for distributed vector search. Dataset Info Source: VectorDBBench (OpenAI) Vectors: 5,000,000 Dimensions: 1536 D
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