Engage your machine learning models in the ambient music realm with our thoughtfully prepared dataset, designed for a variety of applications. This collection includes ambient compositions with precise metadata that reveals chords, instrumentation, key, tempo, and timestamps. The dataset is ideal for generative AI music, Music Information Retrieval (MIR), and source separation since it reveals the intricacies of ambient soundscapes, allowing models to identify the genre's distinct qualities.

Ambient music follows a simple structure, concentrating on generating peaceful and immersive environments. The genre's distinguishing traits include longer durations, spatial sound effects, and the absence of a formal composition, making it an ideal canvas for machine learning training. As models go through this dataset, they can grasp the nuances of ambient compositions, including the interplay between instrumentation, chord progressions, and temporal changes.