datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
wiki_paragraphs_norwegian
WIKI Paragraphs Norwegian
A multi-split dataset for machine learning research and evaluation, containing text samples in JSON Lines format.
Features
Multiple splits for different use cases
Random shuffle with Fisher-Yates algorithm
Structured format with text and metadata
Size-varied validation/test sets (100 to 10k samples)
Splits Overview
Split Name
Samples
Typical Usage
train
1,000,000
Primary training data
validation
10,000
Standard… See the full description on the dataset page: https://huggingface.co/datasets/pere/wiki_paragraphs_norwegian.reasoning_norwegian
Norwegian Reasoning
A reasoning dataset made by DeepSeek R1. The reasoning data is made from punctuation-restoration tasks from Wikipedia. We have stored the reasoning in cases where the output is 100% true.
A total of 22.000 tasks where generated.
Of these a total of 7794 tasks had the correct answer and where in Norwegian. This were trimmed to 6745 to be of the same size as the English reasoning dataset.
This was split into test=250, validation=250 and train=6245