size_categories:10K<n<100K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: 'Unnamed: 0'
    dtype: int64
  - name: Total Household Income
    dtype: int64
  - name: Total Food Expenditure
    dtype: int64
  - name: Alcoholic Beverages Expenditure
    dtype: int64
  - name: Tobacco Expenditure
    dtype: int64
  - name: Medical Care Expenditure
    dtype: int64
  - name: Education Expenditure
    dtype: float64
  - name: Household Head Sex
    dtype: int64
  - name: Household Head Age
    dtype: int64
  - name: Household Head Marital Status
    dtype: int64
  - name: Household Head Highest Grade Completed
    dtype: int64
  - name: Household Head Job or Business Indicator
    dtype: int64
  - name: Household Head Occupation
    dtype: int64
  - name: Household Head Class of Worker
    dtype: int64
  - name: Type of Household
    dtype: int64
  - name: Total Number of Family members
    dtype: int64
  - name: Members with age less than 5 year old
    dtype: int64
  - name: Members with age 5 - 17 years old
    dtype: int64
  - name: Total number of family members employed
    dtype: int64
  - name: Type of Building/House
    dtype: int64
  splits:
  - name: train
    num_bytes: 6647040
    num_examples: 41544
  download_size: 1828567
  dataset_size: 6647040
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
