metadata
dataset_info:
features:
- name: age
dtype: string
- name: class of worker
dtype: int64
- name: detailed industry recode
dtype: int64
- name: detailed occupation recode
dtype: string
- name: education
dtype: int64
- name: wage per hour
dtype: string
- name: enroll in edu inst last wk
dtype: string
- name: marital stat
dtype: string
- name: major industry code
dtype: string
- name: major occupation code
dtype: string
- name: race
dtype: string
- name: hispanic origin
dtype: string
- name: sex
dtype: string
- name: member of a labor union
dtype: string
- name: reason for unemployment
dtype: string
- name: full or part time employment stat
dtype: int64
- name: capital gains
dtype: int64
- name: capital losses
dtype: int64
- name: dividends from stocks
dtype: string
- name: tax filer stat
dtype: string
- name: region of previous residence
dtype: string
- name: state of previous residence
dtype: string
- name: detailed household and family stat
dtype: string
- name: detailed household summary in household
dtype: float64
- name: migration code-change in msa
dtype: string
- name: migration code-change in reg
dtype: string
- name: migration code-move within reg
dtype: string
- name: live in this house 1 year ago
dtype: string
- name: migration prev res in sunbelt
dtype: string
- name: num persons worked for employer
dtype: int64
- name: family members under 18
dtype: string
- name: country of birth father
dtype: string
- name: country of birth mother
dtype: string
- name: country of birth self
dtype: string
- name: citizenship
dtype: string
- name: own business or self employed
dtype: int64
- name: fill inc questionnaire for veteran's admin
dtype: string
- name: veterans benefits
dtype: int64
- name: weeks worked in year
dtype: int64
- name: year
dtype: int64
- name: income
dtype: string
splits:
- name: train
num_bytes: 130937238
num_examples: 199523
download_size: 7979854
dataset_size: 130937238