In the latest years, natural models of argumentation and argument mining are becoming more and more important topics in the argumentation community. Given this tendency, there is the need to produce standard datasets on which natural language approaches to argumentation can be evaluated. In this paper, we present NoDE, a benchmark of natural language arguments composed of three datasets, built from different textual sources and annotated highlighting positive and negative connections between arguments.