The Bluegrass Dataset is a rich compilation that combines the soul-stirring sounds of true bluegrass with detailed metadata for machine-learning applications. Each audio file includes precise information on chords, instrumentation, key, tempo, and timestamps, providing a thorough exploration of the unique world of bluegrass. The banjo, mandolin, fiddle, guitar, and upright bass create a distinct soundscape, forming the heart of this genre and acting as primary instruments for machine learning research.

Bluegrass, which originated in the Appalachian traditions of Kentucky, Virginia, and Tennessee, has a high-energy performance style with quick tempos and tight harmonies. Bill Monroe, known as the "Father of Bluegrass," and his Blue Grass Boys made significant contributions to the genre's development. The dataset not only retains the essence of this musical history, but it also provides opportunities for novel machine-learning applications. In addition, including precise instrument information makes it easier to train models for generative AI music, Music Information Retrieval (MIR), and source separation tasks.