The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
<|reference_start|>The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding: 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.<|reference_end|>
@article{enevoldsen2024the,
    title={The Scandinavian Embedding Benchmarks: Comprehensive Assessment of
  Multilingual and Monolingual Text Embedding},
    author={Kenneth Enevoldsen, M'arton Kardos, Niklas Muennighoff, Kristoffer
  Laigaard Nielbo},
    journal={arXiv preprint arXiv:2406.02396},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.02396},
    primaryClass={cs.CL cs.AI}
}