MAJEPPA-Dataset / README.md
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metadata
license: other
license_name: mixed-see-description
pretty_name: 'MAJEPPA: Piano Performance MIDI with Score Pairings and Expertise Labels'
language:
  - en
size_categories:
  - 1K<n<10K
task_categories:
  - audio-classification
tags:
  - music
  - symbolic-music
  - midi
  - piano
  - performance-analysis
  - music-information-retrieval
  - score-following
  - expertise-assessment
configs:
  - config_name: metadata
    data_files: metadata.parquet
    default: true
  - config_name: alignment
    data_files: alignment.parquet

MAJEPPA

4,449 solo piano performance MIDI files (279 hours, ~5.0M notes) transcribed from amateur and professional piano recordings, each labelled with the performer's expertise level and recording context.

  • 4,207 (95%) paired with a reference score in MIDI — 886 scores covering 880 distinct works and movements by 52 composers
  • 3,862 (87%) carry a DTW score↔performance alignment — 20 million timestamp correspondences
  • Every performance links to its source YouTube recording

The corpus covers the full skill spectrum.

No audio is distributed. Symbolic MIDI, metadata, and alignments only.

Contents

File Contents
performance.zip P_0001.midP_4449.mid — 4,449 performance transcriptions
score.zip S_0001.midS_0886.mid — 886 reference scores
metadata.parquet 4,449 rows × 12 columns, one per performance
metadata.csv the same table as CSV, for convenience
alignment.parquet 20,048,645 rows — DTW warping paths

metadata.csv

Column Description
performance_id P_NNNN, file in performance.zip
recording_id R_NNNN, groups clips cut from the same source video
score_id S_NNNN, file in score.zip. Empty when unmatched
composer Canonical composer name. Empty for 137 rows
piece_title Work title, including movement where applicable
recording_type practice, demo_class, performance, concert_performance, sight_read, slow_demo, fast_demo
expertise_level piano_teacher, adult_beginner, adult_intermediate, virtuoso, child_beginner, child_professional
clip_start_s Offset of this clip within its source video
clip_end_s End offset. Empty means "to the end of the video", not missing
alignment_cost DTW alignment cost
score_coverage Fraction of the score matched
youtube_url Source video (the link might be invalid or removed)

performance_id and score_id are independent ID spaces. One score serves many performances; use score_id for the pairing.

alignment.parquet

performance_id, score_s, perf_s (float32), in chronological order. Each row is one point on the DTW warping path: a score timestamp and the performance timestamp it maps to. Rows are in chronological order. Join to metadata.csv on performance_id.

Statistics

Prac. Sight. Perf. Demo* Slow Conc. Total Hours
Piano teacher 35 15 56 771 329 201 1,407 72.1
Adult beginner 637 404 94 17 3 1 1,156 112.6
Adult intermediate 464 140 175 22 2 3 806 45.7
Child beginner 188 8 197 5 2 0 400 8.9
Child professional 90 0 183 3 0 0 276 13.3
Virtuoso 0 0 0 0 0 404 404 26.7
Total 1,414 567 705 817 336 609 4,449 279.3

Ethical considerations

Performances originate from publicly published YouTube videos for research purposes under fair dealing/use. We release only derived MIDI and coarse descriptive tags (expertise and recording context), not raw audio or personally identifying metadata beyond what is already public, and we will respond promptly to any request from an uploader, performer, or rights holder to remove specific content from the dataset. Additionally, we intend the resource for research on performance understanding and music education rather than for replacing teachers or performers. 

Citation

If you use this dataset, please cite:

@inproceedings{zhou2026majeppa,
title  = {MAJEPPA: Morphing and Assessing in a Unified Piano Performance Space},
author = {Zhou, Jinwen and Zhang, Huan and Zhai, Weixi and Liang, Jinhua and Hogg, Aidan O. T. and Dixon, Simon},
booktitle = {Proc. International Society for Music Information Retrieval Conference (ISMIR)},
year   = {2026}
}

Contact

jinwen.zhou@qmul.ac.uk