NorEval: A Norwegian Language Understanding and Generation Evaluation Benchmark
This paper introduces NorEval, a new and comprehensive evaluation suite for large-scale standardized benchmarking of Norwegian generative language models (LMs).NorEval consists of 24 high-quality human-created datasets -of which five are created from scratch.In contrast to existing benchmarks for Norwegian, NorEval covers a broad spectrum of task categories targeting Norwegian language understanding and generation, establishes human baselines, and focuses on both of the official written standards of the Norwegian language: Bokml and Nynorsk.All our datasets and a collection of over 100 human-written prompts are integrated into LM Evaluation Harness, ensuring flexible and reproducible evaluation.We describe the NorEval design and present the results of benchmarking 19 open-source pretrained and instruction-tuned LMs for Norwegian in various scenarios.Our benchmark, evaluation framework, and annotation materials are publicly available.
Authors
- Tita Enstad
- Vladislav Mikhailov
- Andrey Kutuzov (ORCID: https://orcid.org/0000-0003-2540-5912)
- Erik Velldal
- Lilja Øvrelid (ORCID: https://orcid.org/0000-0002-8880-8404)
- David Samuel (ORCID: https://orcid.org/0000-0002-6764-7277)
- Hans Christian Farsethås
Publication Details
- Published
- 2025-01-01
- DOI
- https://doi.org/10.18653/v1/2025.findings-acl.181
- Primary Topic
- Natural Language Processing Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00