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metadata
license: cc-by-4.0
pretty_name: Strudel-Synth
task_categories:
- text-generation
tags:
- music
- midi
- strudel
- symbolic-music
- music-decompilation
- code-generation
size_categories:
- 10K<n<100K
Strudel-Synth
Strudel-Synth is a synthetic corpus of 21,174 (MIDI, Strudel) pairs for training and evaluating MIDI-to-Strudel decompilation, introduced in Decomposer: Learning to Decompile Symbolic Music to Programs.
- 🎹 Live demo: anonymousgiraffe/decomposer-demo
- 🤗 Model: anonymousgiraffe/Decomposer-Qwen3-8B
Each pair consists of a Strudel program distilled from Claude-Opus-4.6 (conditioned on independently sampled musical and code-style seeds) and the MIDI produced by rendering that program with the Strudel runtime. See Appendix A of the paper for the full construction pipeline.
Statistics
| Train | Test | |
|---|---|---|
| # of (MIDI, Code) Pairs | 20,152 | 1,022 |
| # of Instruments | 122 | 98 |
| Avg. # Insts / Song | 3.73±1.22 | 3.68±1.26 |
| Avg. Lines of Code | 52.20±20.88 | 52.46±21.70 |
| Avg. Duration (s) | 24.17±19.03 | 24.10±18.70 |
The ~20K training split is divided into two disjoint ~10K halves, one per post-training stage: SFT uses the first half as paired (MIDI, Strudel) examples, and RL uses the second half (MIDI only).
Contents
| File | Description |
|---|---|
dataset.jsonl |
one record per pair: paths, split/subset assignment, tempo/meter metadata |
strudel_synth.tar.gz |
all pair files, organized in the three directories below |
Extracting strudel_synth.tar.gz yields:
| Directory | Description |
|---|---|
midi/ |
*.mid — MIDI renders of each Strudel program |
cycle_midi/ |
*.mid — copies of midi/ with onsets rescaled to cycle coordinates (paper Appendix B). Not for listening |
answers/ |
*.js — the Strudel programs |
dataset.jsonl fields
| Field | Description |
|---|---|
id |
pair id (filenames share this id) |
split |
train / eval (eval is the paper's test split) |
subset |
sft / rl (train only): which post-training stage the pair belongs to |
midi_path |
path into the extracted midi/ directory |
cycle_midi_path |
path into the extracted cycle_midi/ directory |
answer_path |
path into the extracted answers/ directory |
bpm, meter |
tempo and beats-per-measure of the pair |
original_midi_duration |
duration of the MIDI in seconds |
Usage
hf download anonymousgiraffe/Strudel-Synth --repo-type dataset --local-dir strudel-synth
cd strudel-synth
tar xzf strudel_synth.tar.gz
import json
pairs = [json.loads(l) for l in open("dataset.jsonl")]
train = [p for p in pairs if p["split"] == "train"]
test = [p for p in pairs if p["split"] == "eval"]
print(len(train), len(test)) # 20152 1022
p = train[0]
midi_file = p["midi_path"] # e.g. midi/000000.mid
strudel_program = open(p["answer_path"]).read()