NAR is a dataset of audio recordings made with the humanoid robot Nao in real world conditions for sound recognition benchmarking. All the recordings were collected using the robot’s microphone and thus have the following characteristics: - recorded with low-quality sensors (300 Hz – 18 kHz bandpass) - suffering from typical fan noise from the robot’s internal hardware - recorded in mutiple real domestic environments (no special acoustic charateristics, reverberations, presence of multiple sound sources and unknown locations)