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Table · dataset · 2026

Qdrant-FineWeb-10B

Listed in Hugging Face Datasets

Qdrant-FineWeb-10B Overview Qdrant-FineWeb-10B (Q-FineWeb-10B) is a 10-billion-vector retrieval benchmark derived from FineWeb.

Description

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: huggingface.co/datasets/Qdrant/FineWeb-10B.

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Where it is published

Catalogue records · 1

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Stated by source
tabular · text
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face DatasetsQdrant/FineWeb-10B12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:tabularsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].hf_modality:textsource · Hugging Faceconnector:huggingface@1.0.0
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
license_textsource · Hugging Faceconnector:huggingface@1.0.0
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0