TabBioMed camera-ready release

README.md

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+---
+license: cc-by-4.0
+pretty_name: MUSIC
+task_categories:
+- tabular-classification
+tags:
+- tabular
+- biomedical
+- benchmark
+- TabBioMed
+- clinical-&-healthcare
+- classification
+size_categories:
+- n<1K
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train.parquet
+  - split: validation
+    path: data/val.parquet
+  - split: test
+    path: data/test.parquet
+---
+
+# MUSIC
+
+Part of **TabBioMed** (*TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning*), a benchmark of 94 curated biomedical
+tabular datasets. Code, preprocessing and documentation: https://github.com/AI-sandbox/TabBioMed.
+
+MUSIC cause-of-death classification. Eleven patients lost to follow-up (exit code 1) and twenty heart-transplant patients (exit code 2) are excluded because no cause of death was observed. Class 0 is alive at the end of follow-up. Cause codes 1, 3, and 6/7 map to classes 1, 2, and 3.
+
+| Domain | Task | Samples | Features | Classes |
+|---|---|---|---|---|
+| Clinical & Healthcare | classification | 961 | 65 | 4 |
+
+**Splits.** Fixed train/val/test split (672/144/145 rows).
+
+## Files
+
+- `data/**.parquet`: one row per sample. `row_idx` is the row index in the original
+  TabBioMed array; `f_<i>[_<name>]` are the features (in order); `target` (or `target_<j>`
+  for multi-target tasks) is the label. Categorical feature indices (0-based, among the
+  features): `[1, 8, 9, 10, 11, 12, 40, 43, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 7, 13, 14, 15, 46, 47]`. Missing values are stored as nulls.
+- `metadata.json`: TabBioMed task metadata (task type, categorical indices, source, description).
+- `feature_names.json`: original feature names, in column order.
+
+```python
+from datasets import load_dataset
+ds = load_dataset("TabBioMed/MUSIC")
+```
+
+A Croissant (1.1) description with Responsible-AI fields is distributed with the
+TabBioMed release.
+
+## Source and license
+
+Source: MUSIC
+
+This derived dataset is distributed under CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/). Please also
+cite and respect the terms of the original source.
+
+## Citation
+
+```bibtex
+@inproceedings{tabbiomed2026,
+  title     = {TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning},
+  author    = {Mateo Bernad{\'o}, Pau and Polapragada, Saivenkata Nagavyjayanthi and Bonet, David and Arbiol Rakuljic, Pol and Mogas Pladevall, Laia and Comajoan Cara, Mar{\c{c}}al and Gonzalez Ferrer, Jesus and Abante, Jordi and Mas Montserrat, Daniel and Haussler, David and Ioannidis, Alexander G.},
+  booktitle = {Advances in Neural Information Processing Systems (NeurIPS), Evaluations and Datasets Track},
+  year      = {2026}
+}
+```

data/test.parquet

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+oid sha256:2aaf4f6d62c0ea2e670f3ad9425c4ae7a3d42ea0b44dc5ab80aef71b79b0c729
+size 60905

data/train.parquet

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+oid sha256:66531295407ca35c50ade608bc573129c8aac3a4305a005f736061dcad5a9e5c
+size 92490

data/val.parquet

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+oid sha256:bb8c1b5bcf3a68838c48462c6d4bfb8678489920a7c0ba6e792adeff1ab9399b
+size 60176

feature_names.json

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+[
+  "Age",
+  "Gender (male=1)",
+  "Weight (kg)",
+  "Height (cm)",
+  "NYHA class",
+  "Diastolic blood pressure (mmHg)",
+  "Systolic blood pressure (mmHg)",
+  "HF etiology - Diagnosis",
+  "Diabetes (yes=1)",
+  "History of dyslipemia (yes=1)",
+  "Peripheral vascular disease (yes=1)",
+  "History of hypertension (yes=1)",
+  "Prior Myocardial Infarction (yes=1)",
+  "Prior implantable device",
+  "Prior Revascularization",
+  "Syncope",
+  "daily smoking (cigarretes/day)",
+  "smoke-free time (years)",
+  "cigarettes /year",
+  "alcohol consumption (standard units)",
+  "Albumin (g/L)",
+  "ALT or GPT (IU/L)",
+  "AST or GOT (IU/L)",
+  "Normalized Troponin",
+  "Total Cholesterol (mmol/L)",
+  "Creatinine (?mol/L)",
+  "Gamma-glutamil transpeptidase (IU/L)",
+  "Glucose (mmol/L)",
+  "Hemoglobin (g/L)",
+  "HDL (mmol/L)",
+  "Potassium (mEq/L)",
+  "LDL (mmol/L)",
+  "Sodium (mEq/L)",
+  "Pro-BNP (ng/L)",
+  "Protein (g/L)",
+  "T3 (pg/dL)",
+  "T4 (ng/L)",
+  "Troponin (ng/mL)",
+  "TSH (mIU/L)",
+  "Urea (mg/dL)",
+  "Signs of pulmonary venous hypertension (yes=1)",
+  "Cardiothoracic ratio",
+  "Left atrial size (mm)",
+  "Right ventricle contractility (altered=1)",
+  "Right ventricle end-diastolic diameter (mm)",
+  "LVEF (%)",
+  "Mitral valve insufficiency",
+  "Mitral flow pattern",
+  "Left ventricular posterior wall thickness (mm)",
+  "Septal thickness (mm)",
+  "Left ventricle end-diastolic diameter (mm)",
+  "Left ventricle end-systolic diameter (mm)",
+  "Calcium channel blocker (yes=1)",
+  "Diabetes medication (yes=1)",
+  "Amiodarone (yes=1)",
+  "Angiotensin-II receptor blocker (yes=1)",
+  "Anticoagulants/antitrombotics (yes=1)",
+  "Betablockers (yes=1)",
+  "Digoxin (yes=1)",
+  "Loop diuretics (yes=1)",
+  "Spironolactone (yes=1)",
+  "Statins (yes=1)",
+  "Hidralazina (yes=1)",
+  "ACE inhibitor (yes=1)",
+  "Nitrovasodilator (yes=1)"
+]

metadata.json

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+{
+  "READY": true,
+  "name": "MUSIC",
+  "task": "classification",
+  "num_classes": 4,
+  "cat_idx": [
+    1,
+    8,
+    9,
+    10,
+    11,
+    12,
+    40,
+    43,
+    52,
+    53,
+    54,
+    55,
+    56,
+    57,
+    58,
+    59,
+    60,
+    61,
+    62,
+    63,
+    64,
+    7,
+    13,
+    14,
+    15,
+    46,
+    47
+  ],
+  "num_samples": 961,
+  "num_features": 65,
+  "imbalance_ratio": 11.3934,
+  "description": "MUSIC cause-of-death classification. Eleven patients lost to follow-up (exit code 1) and twenty heart-transplant patients (exit code 2) are excluded because no cause of death was observed. Class 0 is alive at the end of follow-up. Cause codes 1, 3, and 6/7 map to classes 1, 2, and 3.",
+  "source": "MUSIC",
+  "note": "Excluded exit code 1 (lost to follow-up, n=11) and exit code 2 (heart transplant, n=20). Follow-up length and the exit code are not features.",
+  "label": "clinical & healthcare",
+  "curation_protocol": "music_resolved_outcomes_v1"
+}