Qdrant/FineWeb-10B

Qdrant-FineWeb-10B Overview Qdrant-FineWeb-10B (Q-FineWeb-10B) is a 10-billion-vector retrieval benchmark derived from FineWeb. Each document is represented with dense and sparse embeddings from Alibaba-NLP/gte-multilingual-base, alongside its original FineWeb payload and metadata. The benchmark also includes exact brute-force ground truth for ~120,000 MS MARCO queries. The dataset includes: 10 billion dense embeddings 10 billion sparse embeddings FineWeb… See the full description on the dataset page: https://huggingface.co/datasets/Qdrant/FineWeb-10B.

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