{"ID":2891043,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2507.18723","arxiv_id":"2507.18723","title":"SCORE-SET: A dataset of GuitarPro files for Music Phrase Generation and Sequence Learning","abstract":"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.","short_abstract":"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...","url_abs":"https://arxiv.org/abs/2507.18723","url_pdf":"https://arxiv.org/pdf/2507.18723v1","authors":"[\"Vishakh Begari\"]","published":"2025-07-24T18:13:12Z","proceeding":"cs.SD","tasks":"[\"cs.SD\",\"cs.LG\",\"eess.AS\"]","methods":"[]","has_code":false}