annotaatiotaso
Annotaatiotaso, or annotation level, is a term used to describe the depth and scope of labeling applied to items in a dataset. It encompasses both the granularity of the labels and the number of annotation layers present. The concept is commonly used in linguistic, multimedia, and machine learning contexts to indicate what kind of information has been annotated and to what extent.
Typical dimensions of annotaatiotaso include granularity and labeling type. Granularity ranges from token-level or word-level annotations
Determination and use. The annotaatiotaso is defined during corpus construction through clear guidelines, annotator training, and
Impact and context. In Finnish research and data documentation, annotaatiotaso helps readers understand dataset capabilities and