arXiv Open Access 2025

A Collection of Question Answering Datasets for Norwegian

Vladislav Mikhailov Petter Mæhlum Victoria Ovedie Chruickshank Langø Erik Velldal Lilja Øvrelid
Lihat Sumber

Abstrak

This paper introduces a new suite of question answering datasets for Norwegian; NorOpenBookQA, NorCommonSenseQA, NorTruthfulQA, and NRK-Quiz-QA. The data covers a wide range of skills and knowledge domains, including world knowledge, commonsense reasoning, truthfulness, and knowledge about Norway. Covering both of the written standards of Norwegian - Bokmål and Nynorsk - our datasets comprise over 10k question-answer pairs, created by native speakers. We detail our dataset creation approach and present the results of evaluating 11 language models (LMs) in zero- and few-shot regimes. Most LMs perform better in Bokmål than Nynorsk, struggle most with commonsense reasoning, and are often untruthful in generating answers to questions. All our datasets and annotation materials are publicly available.

Topik & Kata Kunci

Penulis (5)

V

Vladislav Mikhailov

P

Petter Mæhlum

V

Victoria Ovedie Chruickshank Langø

E

Erik Velldal

L

Lilja Øvrelid

Format Sitasi

Mikhailov, V., Mæhlum, P., Langø, V.O.C., Velldal, E., Øvrelid, L. (2025). A Collection of Question Answering Datasets for Norwegian. https://arxiv.org/abs/2501.11128

Akses Cepat

Lihat di Sumber
Informasi Jurnal
Tahun Terbit
2025
Bahasa
en
Sumber Database
arXiv
Akses
Open Access ✓