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citation.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: Scandinavian Embedding Benchmark
message: >-
If you use this software, please cite it using the
metadata from this file.
type: software
authors:
- given-names: Kenneth
family-names: Enevoldsen
email: [email protected]
affiliation: Center for Humanities Computing
orcid: 'https://orcid.org/0000-0001-8733-0966'
- given-names: Lasse
family-names: Hansen
affiliation: Center for Humanities Computing
orcid: 'https://orcid.org/0000-0003-1113-4779'
- given-names: Márton
family-names: Kardos
affiliation: Center for Humanities Computing
abstract: >-
The evaluation of English text embeddings has transitioned
from evaluating a handful of datasets to broad coverage
across many tasks through benchmarks such as MTEB.
However, this is not the case for multilingual text
embeddings due to a lack of available benchmarks. To
address this problem, we introduce the Scandinavian
Embedding Benchmark (SEB). SEB is a comprehensive
framework that enables text embedding evaluation for
Scandinavian languages across 24 tasks, 10 subtasks, and 4
task categories. Building on SEB, we evaluate more than 26
models, uncovering significant performance disparities
between public and commercial solutions not previously
captured by MTEB. We open-source SEB and integrate it with
MTEB, thus bridging the text embedding evaluation gap for
Scandinavian languages.
keywords:
- benchmark
- mteb
- scandinavian nlp
- embedding
- nlp
date-released: '2023-06-01'
preferred-citation:
type: article
title: "The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding"
url: "https://arxiv.org/abs/2406.02396"
year: 2024
authors:
- family-names: "Enevoldsen"
given-names: "Kenneth"
orcid: "https://orcid.org/0000-0001-8733-0966"
- family-names: "Marton"
given-names: "Kardos"
- family-names: "Muennighoff"
given-names: "Niklas"
- family-names: "Nielbo"
given-names: "Kristoffer L."
orcid: "https://orcid.org/0000-0002-5116-5070"