---
dataset_info:
  features:
  - name: age
    dtype: float32
  - name: workclass
    dtype:
      class_label:
        names:
          '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: fnlwgt
    dtype: float32
  - name: education
    dtype:
      class_label:
        names:
          '0': 10th
          '1': 11th
          '2': 12th
          '3': 1st-4th
          '4': 5th-6th
          '5': 7th-8th
          '6': 9th
          '7': Assoc-acdm
          '8': Assoc-voc
          '9': Bachelors
          '10': Doctorate
          '11': HS-grad
          '12': Masters
          '13': Preschool
          '14': Prof-school
          '15': Some-college
  - name: education-num
    dtype: float32
  - name: marital-status
    dtype:
      class_label:
        names:
          '0': Divorced
          '1': Married-AF-spouse
          '2': Married-civ-spouse
          '3': Married-spouse-absent
          '4': Never-married
          '5': Separated
          '6': Widowed
  - name: occupation
    dtype:
      class_label:
        names:
          '0': '?'
          '1': Adm-clerical
          '2': Armed-Forces
          '3': Craft-repair
          '4': Exec-managerial
          '5': Farming-fishing
          '6': Handlers-cleaners
          '7': Machine-op-inspct
          '8': Other-service
          '9': Priv-house-serv
          '10': Prof-specialty
          '11': Protective-serv
          '12': Sales
          '13': Tech-support
          '14': Transport-moving
  - name: relationship
    dtype:
      class_label:
        names:
          '0': Husband
          '1': Not-in-family
          '2': Other-relative
          '3': Own-child
          '4': Unmarried
          '5': Wife
  - name: race
    dtype:
      class_label:
        names:
          '0': Amer-Indian-Eskimo
          '1': Asian-Pac-Islander
          '2': Black
          '3': Other
          '4': White
  - name: sex
    dtype:
      class_label:
        names:
          '0': Female
          '1': Male
  - name: capital-gain
    dtype: float32
  - name: capital-loss
    dtype: float32
  - name: hours-per-week
    dtype: float32
  - name: native-country
    dtype:
      class_label:
        names:
          '0': '?'
          '1': Cambodia
          '2': Canada
          '3': China
          '4': Columbia
          '5': Cuba
          '6': Dominican-Republic
          '7': Ecuador
          '8': El-Salvador
          '9': England
          '10': France
          '11': Germany
          '12': Greece
          '13': Guatemala
          '14': Haiti
          '15': Holand-Netherlands
          '16': Honduras
          '17': Hong
          '18': Hungary
          '19': India
          '20': Iran
          '21': Ireland
          '22': Italy
          '23': Jamaica
          '24': Japan
          '25': Laos
          '26': Mexico
          '27': Nicaragua
          '28': Outlying-US(Guam-USVI-etc)
          '29': Peru
          '30': Philippines
          '31': Poland
          '32': Portugal
          '33': Puerto-Rico
          '34': Scotland
          '35': South
          '36': Taiwan
          '37': Thailand
          '38': Trinadad&Tobago
          '39': United-States
          '40': Vietnam
          '41': Yugoslavia
  - name: income
    dtype:
      class_label:
        names:
          '0': <=50K
          '1': '>50K'
  splits:
  - name: train
    num_bytes: 3125856
    num_examples: 32561
  - name: test
    num_bytes: 1562976
    num_examples: 16281
  download_size: 818605
  dataset_size: 4688832
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---