KennethEnevoldsen/scandinavian-embedding-benchmark

A Scandinavian Benchmark for sentence embeddings

47
/ 100
Emerging

This tool helps researchers and developers evaluate how well different language models understand and represent text in Scandinavian languages like Danish, Norwegian, and Swedish. It takes various sentence or document embedding models as input and produces performance scores on a range of tasks, allowing you to compare and select the best model for your specific needs. It's designed for anyone developing or applying natural language processing technologies for Scandinavian languages.

Use this if you need to objectively compare the quality of different text embedding models for Scandinavian languages across various real-world tasks.

Not ideal if you are looking for a tool to build or train a language model from scratch, as this focuses solely on evaluation.

natural-language-processing computational-linguistics language-model-evaluation text-analysis machine-learning-research
No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 17 / 25

How are scores calculated?

Stars

46

Forks

9

Language

Python

License

MIT

Last pushed

Dec 05, 2025

Commits (30d)

0

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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/KennethEnevoldsen/scandinavian-embedding-benchmark"

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