{
  "requests": [
    {
      "name": "Age",
      "type": "REAL",
      "data_type": "FLOAT"
    },
    {
      "name": "Workclass",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 9,
      "category_map": {
        "0": "?",
        "1": "Federal-gov",
        "2": "Local-gov",
        "3": "Never-worked",
        "4": "Private",
        "5": "Self-emp-inc",
        "6": "Self-emp-not-inc",
        "7": "State-gov",
        "8": "Without-pay"
      }
    },
    {
      "name": "Education",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 7,
      "category_map": {
        "0": "Associates",
        "1": "Bachelors",
        "2": "Doctorate",
        "3": "Dropout",
        "4": "High School grad",
        "5": "Masters",
        "6": "Prof-School"
      }
    },
    {
      "name": "Marital Status",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 4,
      "category_map": {
        "0": "Married",
        "1": "Never-Married",
        "2": "Separated",
        "3": "Widowed"
      }
    },
    {
      "name": "Occupation",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 9,
      "category_map": {
        "0": "?",
        "1": "Admin",
        "2": "Blue-Collar",
        "3": "Military",
        "4": "Other",
        "5": "Professional",
        "6": "Sales",
        "7": "Service",
        "8": "White-Collar"
      }
    },
    {
      "name": "Relationship",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 6,
      "category_map": {
        "0": "Husband",
        "1": "Not-in-family",
        "2": "Other-relative",
        "3": "Own-child",
        "4": "Unmarried",
        "5": "Wife"
      }
    },
    {
      "name": "Race",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 5,
      "category_map": {
        "0": "Amer-Indian-Eskimo",
        "1": "Asian-Pac-Islander",
        "2": "Black",
        "3": "Other",
        "4": "White"
      }
    },
    {
      "name": "Sex",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 2,
      "category_map": {
        "0": "Female",
        "1": "Male"
      }
    },
    {
      "name": "Capital Gain",
      "type": "REAL",
      "data_type": "FLOAT"
    },
    {
      "name": "Capital Loss",
      "type": "REAL",
      "data_type": "FLOAT"
    },
    {
      "name": "Hours per week",
      "type": "REAL",
      "data_type": "FLOAT"
    },
    {
      "name": "Country",
      "type": "CATEGORICAL",
      "data_type": "INT",
      "n_categories": 11,
      "category_map": {
        "0": "?",
        "1": "British-Commonwealth",
        "2": "China",
        "3": "Euro_1",
        "4": "Euro_2",
        "5": "Latin-America",
        "6": "Other",
        "7": "SE-Asia",
        "8": "South-America",
        "9": "United-States",
        "10": "Yugoslavia"
      }
    }
  ],
  "responses": [
    {
      "name": "Income",
      "type": "PROBA",
      "data_type": "FLOAT",
      "schema": [
        {
          "name": "<=$50K"
        },
        {
          "name": ">$50K"
        }
      ]
    }
  ]
}