Datasets:
File size: 1,151 Bytes
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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](https://github.com/anusfoil/eval-piano-midi-repr) benchmark.
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