{
 "id": "ltg/norsummarize-instruct",
 "owner": "ltg",
 "name": "norsummarize-instruct",
 "downloads": 780,
 "likes": 2,
 "last_modified": "2025-08-19T10:05:22.000Z",
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 "tasks": [
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 ],
 "citation": "@inproceedings{mikhailov-etal-2025-noreval,\n    title = \"{N}or{E}val: A {N}orwegian Language Understanding and Generation Evaluation Benchmark\",\n    author = \"Mikhailov, Vladislav  and\n      Enstad, Tita  and\n      Samuel, David  and\n      Farseth{\\r{a}}s, Hans Christian  and\n      Kutuzov, Andrey  and\n      Velldal, Erik  and\n      {\\O}vrelid, Lilja\",\n    editor = \"Che, Wanxiang  and\n      Nabende, Joyce  and\n      Shutova, Ekaterina  and\n      Pilehvar, Mohammad Taher\",\n    booktitle = \"Findings of the Association for Computational Linguistics: ACL 2025\",\n    month = jul,\n    year = \"2025\",\n    address = \"Vienna, Austria\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://aclanthology.org/2025.findings-acl.181/\",\n    doi = \"10.18653/v1/2025.findings-acl.181\",\n    pages = \"3495--3541\",\n    ISBN = \"979-8-89176-256-5\",\n    abstract = \"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: Bokm{\\r{a}}l and Nynorsk. All our datasets and a collection of over 100 human-created pro",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "c7751562e7681aa352177ce56e754d2eb0400010",
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}