| --- |
| 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](https://strudel.cc) decompilation, introduced in |
| *Decomposer: Learning to Decompile Symbolic Music to Programs*. |
|
|
| - 🎹 **Live demo:** [anonymousgiraffe/decomposer-demo](https://huggingface.co/spaces/anonymousgiraffe/decomposer-demo) |
| - 🤗 **Model:** [anonymousgiraffe/Decomposer-Qwen3-8B](https://huggingface.co/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 |
|
|
| ```bash |
| hf download anonymousgiraffe/Strudel-Synth --repo-type dataset --local-dir strudel-synth |
| cd strudel-synth |
| tar xzf strudel_synth.tar.gz |
| ``` |
|
|
| ```python |
| 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() |
| ``` |
|
|
