This dataset contains sentences extracted from articles in various disciplines and annotated with respect to uncertainty in science. It has been produced as part of theANR InSciM (Modelling Uncertainty in Science) project. The dataset is drawn from reputable scientific articles from a variety of disciplines. It consists of two distinct samples of sentences, each annotated using a different method. The first sample is obtained through uncertainty cue mapping, while the second sample is derived from manual annotation of randomly selected articles. To ensure comprehensive annotation, both samples were manually annotated using our multidimensional annotation framework. For a more comprehensive understanding of the construction of the dataset, including the selection of journals, sampling procedure, and the annotation methodology, see (Ningrum and Atanassova, 2023). This dataset provides valuable insights into the representation of uncertainty within scientific literature across different domains. Researchers and practitioners can use this dataset to study and analyse the different dimensions of uncertainty in scientific discourse. The dataset is presented as a CSV table. The dataset is available on Zenodo at the following address : https://zenodo.org/records/8024787