The "City Pop" AI music dataset is a specialized collection designed to explore and revive the captivating genre of city pop. This comprehensive dataset encompasses a diverse range of city pop compositions from the 1970s and 1980s, capturing the infectious blend of pop, jazz, funk, and disco elements that defined the era.

With detailed metadata providing contextual information about the artists, instruments, tempo, and production techniques, this dataset serves as a valuable resource for machine learning applications seeking to generate authentic and nostalgic city pop music.

Curated with meticulous attention, it captures the essence of the genre's infectious grooves, smooth melodies, and vibrant energy. The accompanying metadata provides crucial insights into the artists, instruments, production styles, and cultural context, empowering AI systems to faithfully reproduce the nostalgic charm and unique dynamics of city pop.