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PianoCoRe dataset combines and refines MIDI corpora for expressive performance research

Researchers have introduced PianoCoRe, a comprehensive and refined dataset of piano MIDI performances and scores. This new dataset combines and improves upon existing open-source corpora, offering over 250,000 performances from 5,625 pieces by 483 composers. PianoCoRe includes tiered subsets for various applications, with a notable note-aligned collection for expressive performance modeling. The project also provides a MIDI quality classifier and an alignment refinement pipeline called RAScoP to enhance data accuracy. AI

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IMPACT Provides a foundational dataset for advancing research in expressive piano performance modeling and music information retrieval.

RANK_REASON This is a research paper describing a new dataset and associated tools for symbolic music analysis. [lever_c_demoted from research: ic=2 ai=0.4]

Read on arXiv cs.LG →

COVERAGE [2]

  1. arXiv cs.LG TIER_1 · Ilya Borovik ·

    PianoCoRe: Combined and Refined Piano MIDI Dataset

    arXiv:2605.06627v1 Announce Type: cross Abstract: Symbolic music datasets with matched scores and performances are essential for many music information retrieval (MIR) tasks. Yet, existing resources often cover a narrow range of composers, lack performance variety, omit note-leve…

  2. arXiv cs.LG TIER_1 · Ilya Borovik ·

    PianoCoRe: Combined and Refined Piano MIDI Dataset

    Symbolic music datasets with matched scores and performances are essential for many music information retrieval (MIR) tasks. Yet, existing resources often cover a narrow range of composers, lack performance variety, omit note-level alignments, or use inconsistent naming formats. …