Datasets:
metadata
license: cc-by-4.0
task_categories:
- audio-classification
tags:
- music
- piano
- midi
- error-detection
- disklavier
pretty_name: ScoreInformed Piano Transcription Dataset
size_categories:
- n<1K
ScoreInformed: Disklavier Piano Performance MIDI
7 Disklavier performances with per-note mistake annotations.
Each piece has 3 MIDI files:
*_correct.mid: Correctly played notes (matching the score)*_missed.mid: Notes that should have been played but were not*_fa.mid: Extra/false alarm notes (played but not in score)
The actual performance = correct + fa. The intended score = correct + missed.
Structure
Disklavier_XX_{group}_{piece}_correct.mid
Disklavier_XX_{group}_{piece}_missed.mid
Disklavier_XX_{group}_{piece}_fa.mid
Usage
For token-level evaluation: only fa notes can be labeled (missed notes have no tokens).
For frame-level evaluation: both fa and missed time regions indicate problems.
Reference
From "Score-informed transcription for automatic piano tutoring" (Benetos et al.). Part of EVPMR benchmark.