In this paper we present a large set of data obtained from the volcanic surveillance of Puracé volcano (in Colombia). The proposed data are the result of the real-time data from the seismological stations which are close to this volcano. These data are extracted from the Colombian Geological Survey (SGC) and we have processed all of them in order to create the proposed dataset. This dataset will help to test if a learning algorithm can learn quickly and if it can extract knowledge from data streams in real time. In the proposed link, the presented dataset is available for any researcher.