makneeeee/abstracts_embeddings
abstracts_embeddings - Sharded DiskANN Indices Pre-built DiskANN indices sharded for distributed vector search. Dataset Info Source: colonelwatch/abstracts-embeddings Vectors: 10,000,000 Dimensions: 1024 (float32) Queries: 10,000 DiskANN Parameters R (graph degree): 64 L (build beam width): 100 Distance: L2 Shard Configurations shard_10: 10 shards x 1,000,000 vectors shard_3: 3 shards x 3,333,333 vectors shard_5: 5 shards x 2,000… See the full description on the dataset page: https://huggingface.co/datasets/makneeeee/abstracts_embeddings.
| Author / organization | makneeeee |
|---|---|
| Downloads | 228 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 12 February 2026 |
| Last updated at source | 13 February 2026 |
Popularity, last 3 days
228 now (-43 since 2026-10-16). Counts as reported by the source, snapshotted daily by Silytics.
Recent changes
- 17 Oct 2026 Description: abstracts_embeddings - Sharded DiskANN Indices Pre-built DiskANN indices sharded for distributed vector search. Dataset Info Source: colonelwatch/abstracts-embeddings Vectors: 10,000,000 Dimensions: 1024 (float32) Queries: 10,000 DiskANN Pa → abstracts_embeddings - Sharded DiskANN Indices Pre-built DiskANN indices sharded for distributed vector search. Dataset Info Source: colonelwatch/abstracts-embeddings Vectors: 10,000,000 Dimensions: 1024 (float32) Queries: 10,000 DiskANN Pa
Changes detected by Silytics between refreshes of the source.
More from makneeeee
- makneeeee/sift1bDataset
Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 18 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.