TAU Urban Acoustic Scenes 2019 Openset development dataset is designed for researching open set classification problem in acoustic scene classification. In this problem, the test recording may be from a different environment than the 10 target classes. The dataset consists of 10-seconds audio segments from 10 acoustic scenes: Airport - airport Indoor shopping mall - shopping_mall Metro station - metro_station Pedestrian street - street_pedestrian Public square - public_square Street with medium level of traffic - street_traffic Travelling by a tram - tram Travelling by a bus - bus Travelling by an underground metro - metro Urban park - park In addition, material for Unknown scene `unknown` is provided from 4 scenes: Beach - beach, extracted from TUT Acoustic scenes 2017 dataset Library - library, extracted from TUT Acoustic scenes 2017 dataset Office - office, extracted from TUT Acoustic scenes 2017 dataset Public event - public_event