Qdrant/PubMed-MV
PubMed-MultiVector (PubMed-VE) Overview PubMed-VE is a retrieval benchmark built from PubMed abstracts using BGE-M3. Each document is represented in all three formats produced by BGE-M3: ~24 million dense embeddings ~24 million sparse embeddings 8.37B multi-vector (token-level) embeddings (8,370,222,287 exactly; 350.2 tokens/document) Statistic Value Documents 23,898,701 Queries 10,000 Ground truth exact top-1000, one list per modality (dense /… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/PubMed-MV.
| Author / organization | Qdrant |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 7.6K (as reported by Hugging Face) |
| Likes | 4 |
| Created | 20 August 2026 |
| Last updated at source | 23 September 2026 |
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