| --- |
| license: other |
| task_categories: |
| - feature-extraction |
| tags: |
| - vector-search |
| - diskann |
| - nearest-neighbor |
| - benchmark |
| pretty_name: SpaceV1B - Sharded DiskANN Indices |
| size_categories: |
| - 1B<n<10B |
| --- |
| |
| # SpaceV1B - Sharded DiskANN Indices |
|
|
| Pre-built DiskANN indices for the SpaceV1B dataset, sharded for distributed vector search. |
|
|
| ## Dataset Info |
| - **Source**: [Microsoft SPTAG / SpaceV1B](https://github.com/microsoft/SPTAG/tree/main/datasets/SPACEV1B) |
| - **Vectors**: 1,000,000,000 (1 billion) |
| - **Dimensions**: 100 |
| - **Data type**: int8 |
| - **Queries**: 29,316 |
| - **Distance**: L2 |
|
|
| ## DiskANN Parameters |
| - **R** (graph degree): 64 |
| - **L** (build beam width): 100 |
| - **PQ bytes**: 32 |
|
|
| ## Shard Configurations |
| - **shard_2**: 2 shards x 500,000,000 vectors |
| - **shard_3**: 3 shards x ~333,333,333 vectors |
| - **shard_5**: 5 shards x 200,000,000 vectors |
| - **shard_7**: 7 shards x ~142,857,142 vectors |
| - **shard_10**: 10 shards x 100,000,000 vectors |
| |
| ## File Structure |
| ``` |
| fbin/ |
| base.i8bin # Base vectors (1B x 100 int8) |
| queries.i8bin # Query vectors (29K x 100 int8) |
| diskann/ |
| gt_100.bin # Ground truth (100-NN) |
| shard_N/ # N-shard configuration |
| spacev1b_64_100_32.shardX_disk.index # DiskANN disk index |
| spacev1b_64_100_32.shardX_disk.index_512_none.indices # MinIO graph indices |
| spacev1b_64_100_32.shardX_disk.index_base_none.vectors # MinIO vector data |
| spacev1b_base.shardX.fbin # Shard base data |
| ``` |
| |
| ### Chunked Files |
| |
| Files larger than 49 GB are split into chunks for upload: |
| - `*_512_none.indices.part00`, `.part01`, etc. |
| - `*_base_none.vectors.part00`, etc. (if applicable) |
| - `fbin/base.i8bin.part00`, etc. |
| |
| To reassemble: `cat file.part00 file.part01 ... > file` |
| |
| ## Usage |
| |
| ### Download with huggingface_hub |
| ```python |
| from huggingface_hub import hf_hub_download |
| |
| # Download a specific shard file |
| index = hf_hub_download( |
| repo_id="maknee/spacev1b", |
| filename="diskann/shard_10/spacev1b_64_100_32.shard0_disk.index", |
| repo_type="dataset" |
| ) |
| ``` |
| |
| ### Download with git-lfs |
| ```bash |
| git lfs install |
| git clone https://huggingface.co/datasets/maknee/spacev1b |
| ``` |
| |
| ## License |
| Same as source dataset (Microsoft SPTAG). |
| |
