README.md

metadata

license: cc-by-4.0
task_categories:
  - audio-classification
tags:
  - piano
  - midi
  - performance-assessment
  - music
size_categories:
  - 1K<n<10K

YCU-PPE-III: Piano Performance MIDI Dataset

MIDI transcriptions of the YCU-PPE-III piano performance dataset (Wang et al.), used for unreferenced Performance MOS (PMOS) prediction in EVPMR.

Overview

• 2,627 MIDI files transcribed from WAV recordings via transkun
• 13 songs performed by student pianists
• 2,511 performances with ratings from 3 expert judges (0-100 scale each)
• Labels: normalized mean score to [0, 1]
• Splits: 1,757 train / 377 val / 377 test (stratified by song)

Metadata

metadata/metadata.csv columns: midi_path, name, song_id, piece_cn, piece_en, judge_1, judge_2, judge_3, mean_score, label, split

Task

Regression: given a piano performance MIDI (without reference score), predict a quality rating. Metrics: MSE, MAE, Pearson r, Spearman rho.

Directory Structure

data/{song_id}/{name}.mid     # 2,627 MIDI files
metadata/splits.csv           # 2,511 entries: midi_path, label, split
metadata/metadata.csv         # Full metadata with judge scores + piece names