metadata
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-*