SCORE-SET: A dataset of GuitarPro files for Music Phrase Generation and Sequence Learning
This provides a resource for researchers in music AI, but it is incremental as it adapts existing data with new annotations.
The authors tackled the lack of specialized datasets for guitar music generation by creating SCORE-SET, a curated dataset of GuitarPro files derived from MIDI notes with added guitar-specific expression settings like bends and slides.
A curated dataset of Guitar Pro tablature files (.gp5 format), tailored for tasks involving guitar music generation, sequence modeling, and performance-aware learning is provided. The dataset is derived from MIDI notes in MAESTRO and GiantMIDI which have been adapted into rhythm guitar tracks. These tracks are further processed to include a variety of expression settings typical of guitar performance, such as bends, slides, vibrato, and palm muting, to better reflect the nuances of real-world guitar playing.