hidude562/operation-legato

Operation Legato

A comprehensive dataset of 22,060 music score arrangements from MuseScore, correlated with their original song audio from YouTube.

Dataset Description

Each record contains:

• A tokenized music score in a simplified, absolute-timing text format
• Arrangement metadata: instrument(s), complexity level, genre, tags
• YouTube reference for the original song audio (when available)
• Alignment information between the score and original audio

Source

Built from the PDMX dataset - 254K public domain MusicXML scores scraped from MuseScore.com, filtered to the top 15,000 most popular songs with identifiable artists.

Token Format

Scores are represented in a human-readable token format with absolute timing in seconds:

@meta complexity=intermediate
@meta genre=classical
@meta instruments=Piano
@meta arrangement=Solo
@time_sig t=0.000 4/4
@key_sig t=0.000 key=C mode=major
@tempo t=0.000 bpm=120.0
@annotation t=0.000 type=Dynamic mf
@note t=0.000 dur=0.500 p=60 v=80 ch=0 inst=Piano
@note t=0.500 dur=0.250 p=64 v=70 ch=0 inst=Piano

Token types:

Token	Description
@meta	Score metadata (complexity, genre, instruments, arrangement type)
@time_sig	Time signature change with absolute timestamp
@key_sig	Key signature with key name and mode
@tempo	Tempo marking (BPM) with timestamp
@tempo_text	Textual tempo marking (e.g., "Allegro")
@annotation	Dynamics, articulations, section markings
@note	Note event: t=time(s), dur=duration(s), p=MIDI pitch, v=velocity, ch=channel, inst=instrument name

Fields

Field	Type	Description
score_id	string	Unique identifier (PDMX IPFS hash)
song_name	string	Original song name
artist_name	string	Original artist/composer
title	string	MuseScore arrangement title
arrangement_description	string	Human-readable description (e.g., "intermediate Piano Solo arrangement")
complexity	string	easy / intermediate / advanced / expert
genres	string	Genre(s)
instruments	string	Pipe-separated instrument list
instrumentations	string	Arrangement type (Solo, Duet, etc.)
tags	string	User-provided tags
n_tracks	int	Number of instrument tracks
midi_programs	string	MIDI program numbers per track
rating	float	Average user rating (0-5)
n_views	int	View count on MuseScore
score_duration_seconds	float	Score duration in seconds
n_notes	int	Total number of notes
has_lyrics	bool	Whether the score contains lyrics
has_annotations	bool	Whether the score contains dynamics/articulations
has_matched_audio	bool	Whether YouTube audio was found
youtube_id	string	YouTube video ID (if matched)
youtube_query	string	Search query to find the original audio
alignment_confidence	float	Score-to-audio alignment confidence (0-1)
time_stretch_ratio	float	Audio duration / score duration ratio
tokens	string	Full tokenized score content

Statistics

• Total arrangements: 22,060
• With matched audio: ~4,370 (growing)
• Complexity: easy (75%), intermediate (12%), advanced (11%), expert (2%)
• Top instruments: Piano, Flute, Bass guitar, Vocals, Drums, Cello, Saxophone, Violin, Trumpet, Clarinet
• Genres: classical (dominant), folk, soundtrack, rock, pop, jazz, electronic

Use Cases

• Train music transcription models (audio -> score)
• Study arrangement patterns across instruments and difficulty levels
• Generate arrangements from audio in specific styles
• Music information retrieval with aligned score-audio pairs
• Symbolic music generation conditioned on instrument/difficulty

Citation

Built from PDMX:

@inproceedings{long2024pdmx,
  title={PDMX: A Large-Scale Public Domain MusicXML Dataset for Symbolic Music Processing},
  author={Long, Phillip and Pati, Ashis},
  year={2024}
}