| ---
|
| pretty_name: ALIGN Dataset
|
| task_categories:
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| - audio-classification
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| tags:
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| - music
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| - clarinet
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| - musicxml
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| - music-performance
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| - error-detection
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| - synthetic
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| - alignment
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| size_categories:
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| - 10K<n<100K
|
| ---
|
|
|
| # ALIGN Dataset
|
|
|
| Synthetic **Bb clarinet** practice bundles for ALIGN / MusicEval: a clean MusicXML score paired with a SoundFont performance that contains planted faults. Gold labels are **score-part melodies** (schema **1.2**), not only wall-clock intervals.
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|
|
| The clean score stays correct. Only the synthesized performance is wrong.
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|
|
| ## Splits
|
|
|
| Samples are packed into zip shards (250 clips each) so the Hub stays within file-count limits.
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|
|
| | Folder | Samples | Source scores |
|
| |--------|--------:|---------------|
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| | `output/part_XXXX.zip` | 12,000 | Procedural original clarinet scores |
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| | `output_2k_rawdata/part_XXXX.zip` | 2,104 | Random measure windows from uploaded `RawData/Score` MusicXML |
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|
|
| `manifest.json` lists which sample ids sit in each shard.
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|
|
| After unzipping a shard you get one directory per clip, for example `synth_gen_0042/`:
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|
|
| | File | Role |
|
| |------|------|
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| | `verified_score.musicxml` | Clean notation (ground truth) |
|
| | `performance_score.musicxml` | Errored (and possibly repeated) render source |
|
| | `reference_audio.wav` | Clarinet render of the clean score |
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| | `performance_audio.wav` | Clarinet render with planted errors |
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| | `reference_audio.mid` / `performance_audio.mid` | MIDI sent to the SoundFont |
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| | `labels.json` | Synthetic gold (`source: synthetic`, schema 1.2) |
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| | `candidates.json` | Auto alignment candidates |
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| | `alignment.npz` | DTW alignment artifacts |
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| | `performance_mel.npy` / `reference_mel.npy` | Log-mel features (22.05 kHz, 128 mels) |
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| | `metadata.json` | Render settings, error types, seed |
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|
|
| Audio is **sounding pitch** (`sounding_transpose: -2`): written C sounds Bb. MusicXML and `labels.json` `pitches` stay **written**.
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|
|
| ## Planted errors
|
|
|
| A clip draws **1–8** non-overlapping content errors from five equally weighted types, then often repeats the affected measure(s):
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|
|
| | Type | What changes in the performance |
|
| |------|----------------------------------|
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| | `wrong_note` | ±1 or ±2 semitones, or a squeak (MIDI C6–A7) |
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| | `missed_note` | Written note replaced by a rest |
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| | `extra_note` | Split a note; insert a neighbor or squeak |
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| | `intonation_error` | Pitch bend 40–80 cents on 1–4 notes |
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| | `rhythm_error` | Late/early start or end, tempo change, or uneven durations |
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|
|
| **Repetition** is applied after content errors (usual case) or as a standalone replay of a sounding measure. A silent 0.2–1.0 s gap is inserted before the copy. Repeated-pass copies of content labels are **not** gold.
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|
|
| Melody gold is a contiguous run of clean-score notes (`score_part` + `pitches`) with 1–2 notes of pad on each side.
|
|
|
| ## Loading
|
|
|
| ```python
|
| from huggingface_hub import hf_hub_download
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| from zipfile import ZipFile
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| from pathlib import Path
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| import json
|
|
|
| zip_path = hf_hub_download(
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| repo_id="LapisLa2uli/ALIGN_Dataset",
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| filename="output/part_0000.zip",
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| repo_type="dataset",
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| )
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| out = Path("align_samples")
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| with ZipFile(zip_path) as zf:
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| zf.extractall(out)
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| sample = next(p for p in out.iterdir() if p.is_dir())
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| labels = json.loads((sample / "labels.json").read_text(encoding="utf-8"))
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| print(sample.name, len(labels["labels"]))
|
| ```
|
|
|
| ## Notes
|
|
|
| - Render: tinysoundfont + FreePats clarinet SoundFont; MIDI via music21.
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| - Official synth eval in ALIGN is contiguous pitch-list **containment F1**, not timestamp IoU.
|
| - `pipeline.log` files are omitted from the upload (they contain local machine paths).
|
|
|
