While the NoReC dataset was primarily created for training and evaluating models for document-level sentiment analysis, many other use cases are of course possible. The corpus comprises more than 35,000 full-text reviews extracted from eight different major Norwegian news sources: Dagbladet, VG, Aftenposten, Bergens Tidende, Fædrelandsvennen, Stavanger Aftenblad, DinSide.no and P3.no. The reviews cover a range of different domains, including literature, movies, video games, restaurants, music and theater, in addition to product reviews across a range of categories. Each review is labeled with a manually assigned score of 1–6, as provided by the rating of the original author. The texts have been pre-processed using UDPipe and are distributed in the CoNLL-U format. However, we also provide HTML files with the raw texts. Documentation and an accompanying Python package are provided through the following git repository: https://github.com/ltgoslo/norec