As the field of human-computer interaction continues to evolve, there is a growing need for new methods of gesture recognition that can be used in a variety of applications, from gaming and entertainment to healthcare and robotics. While traditional methods of gesture recognition rely on cameras or other optical sensors, these systems can be limited by factors such as lighting conditions and occlusions.To address these challenges, we have developed a new gesture dataset based on radar sensing technology. The dataset includes 21.000 carefully selected gestures, recorded using the BGT60TR13C XENSIV™ 60GHz Frequency Modulated Continuous Radar sensor. We believe that this dataset will be an invaluable resource for researchers and developers working in the field of gesture recognition. By providing a large and diverse set of radar-based gesture data, we hope to enable the development of new and innovative applications that can enhance human-computer interaction in a wide range of domains.