Datasets:
Update to 2511 performances with full metadata + README
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README.md
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task_categories:
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- audio-classification
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tags:
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- music
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- piano
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- midi
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- performance-
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pretty_name: YCU-PPE-III Piano MIDI (Transcribed)
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size_categories:
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- n<
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---
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# YCU-PPE-III: Piano Performance MIDI Dataset
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MIDI transcriptions of the YCU-PPE-III piano performance dataset (Wang et al.),
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used for **unreferenced Performance MOS (PMOS) prediction** in [EVPMR](https://github.com/anusfoil/eval-piano-midi-repr).
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## Overview
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- **13 songs** performed by student pianists
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## Task
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Regression: given a piano performance MIDI (without reference score),
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predict a quality rating. Metrics: MSE, MAE, Pearson r, Spearman rho.
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## Directory Structure
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##
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task_categories:
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- audio-classification
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tags:
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- piano
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- midi
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- performance-assessment
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- music
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size_categories:
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- 1K<n<10K
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---
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# YCU-PPE-III: Piano Performance MIDI Dataset
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MIDI transcriptions of the YCU-PPE-III piano performance dataset (Wang et al.), used for **unreferenced Performance MOS (PMOS) prediction** in [EVPMR](https://github.com/anusfoil/eval-piano-midi-repr).
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## Overview
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- **2,627 MIDI files** transcribed from WAV recordings via [transkun](https://github.com/RongTongZi/transkun)
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- **13 songs** performed by student pianists
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- **2,511 performances** with ratings from 3 expert judges (0-100 scale each)
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- **Labels**: normalized mean score to [0, 1]
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- **Splits**: 1,757 train / 377 val / 377 test (stratified by song)
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## Metadata
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`metadata/metadata.csv` columns: midi_path, name, song_id, piece_cn, piece_en, judge_1, judge_2, judge_3, mean_score, label, split
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## Task
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Regression: given a piano performance MIDI (without reference score), predict a quality rating.
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Metrics: MSE, MAE, Pearson r, Spearman rho.
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## Directory Structure
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```
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data/{song_id}/{name}.mid # 2,627 MIDI files
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metadata/splits.csv # 2,511 entries: midi_path, label, split
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metadata/metadata.csv # Full metadata with judge scores + piece names
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```
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