{
  "name": "alpha_stable",
  "kind": "synthetic",
  "params": {
    "n_samples": 36000,
    "alpha": 1.7,
    "dim": 150
  },
  "split": {
    "val_size": 0.027777777777777776,
    "test_size": 0.2777777777777778,
    "random_state": 0,
    "standardize": false
  },
  "split_mode": "random",
  "counts": {
    "train": 25000,
    "validation": 1000,
    "test": 10000
  },
  "n_samples": 36000,
  "sample_shape": [
    150
  ],
  "seed": 0,
  "normalization": "None",
  "provenance": {
    "origin": "Synthetic isotropic alpha-stable samples",
    "generator": "gendynamics.datasets.fetch_synthetic_data('alpha_stable')",
    "preparation": "Sample the configured distribution, then make a seeded random train/validation/test split."
  }
}