{
  "READY": true,
  "name": "CDC_Diabetes_Health_Indicators",
  "task": "binary",
  "num_classes": 2,
  "cat_idx": [
    7,
    8,
    9,
    10,
    11,
    12,
    13,
    14,
    15,
    16,
    17,
    18,
    19,
    20
  ],
  "num_samples": 226342,
  "num_features": 21,
  "imbalance_ratio": 5.7502,
  "description": "Talent Benchmark dataset: CDC_Diabetes_Health_Indicators (task=binary). Rows from official train/val/test files are concatenated; TabBioMed then applies a 70/15/15 train/val/test split (stratified for classification, random_state=42), not the original Talent split boundaries. Exact duplicate rows were collapsed, and feature patterns with conflicting labels were dropped.",
  "source": "Talent Benchmark Dataset - CDC_Diabetes_Health_Indicators",
  "label": "clinical & healthcare"
}