The used dataset is collected from the point of view (PoV) driving of different vehicle types from YouTube ("https://www.youtube.com/," 2020). These are only vehicle interior sounds. There is no driver or any human voice.5980 sounds were recorded with 8 classes. These vehicles were driven on asphalt roads in open-air. We didn’t prefer to collect interior vehicle sounds on unpaved roads in rainy weather. The file format of these data is wav. The length of the used sounds is in the range of 3-5 seconds with 48 kHz frequency. The chosen vehicle types are bus, minibus, pickup, sports car, jeep, truck, crossover, and car (automobile). The attributes of the collected vehicle interior sound (VIS) dataset are summarized in Table. No Class name Number of Samples No Class name Number of Samples 1 Bus 850 5 Jeep 600 2 Minibus 600 6 Truck 900 3 Pickup 680 7 Crossover 800 4 Sports Car 800 8 Car (C Class – 4K) 750 Total 5980 This dataset was used in the article given below. Researchers who want to use the DataSet should cite the specified article. Akbal, E., Tuncer, T., & Dogan, S. (2022). Vehicle Interior Sound Classification Based on Local Quintet Magnitude Pattern and Iterative Neighborhood Component Analysis. Applied Artificial Intelligence, 36(1), 2137653.