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Table · dataset · 2025

mteb/SwednRetrieval

Listed in Hugging Face Datasets

Description

SwednRetrieval An MTEB dataset Massive Text Embedding Benchmark The SWE-DN corpus is based on 1,963,576 news articles from the Swedish newspaper Dagens Nyheter (DN) during the years 2000--2020. The articles are filtered to resemble the CNN/DailyMail dataset both regarding textual structure Task category t2t Domains News, Non-fiction, Written Reference spraakbanken.gu.se/en/resources/swedn How to evaluate on this task You can evaluate an… See the full description on the dataset page: huggingface.co/datasets/mteb/SwednRetrieval.

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Where it is published

Documentation and papers

Catalogue records · 1

Topics

Stated by source
text · text retrieval
From keywords
Computer Science & AI · Text
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
Hugging Face Datasetsmteb/SwednRetrieval14 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:textsource · Hugging Faceconnector:huggingface@1.0.0
concepts[modality].local:modality:textmapping · Hugging Facevocabulary-mapper@1.0.0keywords['text']
concepts[task].hf_task:text-retrievalsource · Hugging Faceconnector:huggingface@1.0.0/tags[task_categories:*]
created_datesource · Hugging Faceconnector:huggingface@1.0.0
descriptionsource · Hugging Faceconnector:huggingface@1.0.0/description
licensesource · Hugging Faceconnector:huggingface@1.0.0/tags[license:*]
publication_datesource · Hugging Faceconnector:huggingface@1.0.0
titlesource · Hugging Faceconnector:huggingface@1.0.0/id
updated_datesource · Hugging Faceconnector:huggingface@1.0.0