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Data · dataset · 2022

sentence-transformers/NQ-retrieval

Listed in Hugging Face Datasets

Description

#NQ-retrieval This is a nicely formatted version of the Natural Questions dataset, formatted to train and evaluate retrieval systems. Each row contains the following entries: question: Original question send for Google Search Engine title: Title of Wikipedia article candidates: A list with the passages from the original Wikipedia HTML document passage_types: Types (text, table, list) of the candidate passages long_answers: IDs which candidate passages where selected as relevant from… See the full description on the dataset page: huggingface.co/datasets/sentence-transformers/NQ-retrieval.

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Catalogue records · 1

Topics

Inferred from text
Artificial intelligence 70% · Tabular 65% · Text 75%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetssentence-transformers/NQ-retrieval12 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · Hugging Faceconnector:huggingface@1.0.0/gated
concepts[field].anzsrc:group:4602enrichment · Hugging Facetaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].local:field:computer-science-aimapping · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:tabularenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (65%)
concepts[modality].local:modality:textenrichment · Hugging Facekeyword-concept-rules@1.0.0title+description (75%)
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0