size_categories:1K<n<10K format:parquet modality:tabular library:datasets library:pandas library:mlcroissant library:polars region:us
---
dataset_info:
  features:
  - name: credits_this_bank
    dtype: int64
  - name: present_res_since
    dtype: int64
  - name: duration_in_month
    dtype: int64
  - name: people_under_maintenance
    dtype: int64
  - name: installment_as_income_perc
    dtype: int64
  - name: age
    dtype: int64
  - name: credit_amount
    dtype: int64
  - name: account_check_status_0 <= ... < 200 DM
    dtype: float64
  - name: account_check_status_< 0 DM
    dtype: float64
  - name: account_check_status_>= 200 DM / salary assignments for at least 1 year
    dtype: float64
  - name: account_check_status_no checking account
    dtype: float64
  - name: credit_history_all credits at this bank paid back duly
    dtype: float64
  - name: credit_history_critical account/ other credits existing (not at this bank)
    dtype: float64
  - name: credit_history_delay in paying off in the past
    dtype: float64
  - name: credit_history_existing credits paid back duly till now
    dtype: float64
  - name: credit_history_no credits taken/ all credits paid back duly
    dtype: float64
  - name: purpose_(vacation - does not exist?)
    dtype: float64
  - name: purpose_business
    dtype: float64
  - name: purpose_car (new)
    dtype: float64
  - name: purpose_car (used)
    dtype: float64
  - name: purpose_domestic appliances
    dtype: float64
  - name: purpose_education
    dtype: float64
  - name: purpose_furniture/equipment
    dtype: float64
  - name: purpose_radio/television
    dtype: float64
  - name: purpose_repairs
    dtype: float64
  - name: purpose_retraining
    dtype: float64
  - name: 'savings_.. >= 1000 DM '
    dtype: float64
  - name: savings_... < 100 DM
    dtype: float64
  - name: savings_100 <= ... < 500 DM
    dtype: float64
  - name: 'savings_500 <= ... < 1000 DM '
    dtype: float64
  - name: savings_unknown/ no savings account
    dtype: float64
  - name: present_emp_since_.. >= 7 years
    dtype: float64
  - name: 'present_emp_since_... < 1 year '
    dtype: float64
  - name: present_emp_since_1 <= ... < 4 years
    dtype: float64
  - name: present_emp_since_4 <= ... < 7 years
    dtype: float64
  - name: present_emp_since_unemployed
    dtype: float64
  - name: 'gender_female '
    dtype: float64
  - name: 'gender_male '
    dtype: float64
  - name: personal_status_ divorced/separated
    dtype: float64
  - name: personal_status_ divorced/separated/married
    dtype: float64
  - name: personal_status_ married/widowed
    dtype: float64
  - name: personal_status_ single
    dtype: float64
  - name: 'property_if not A121 : building society savings agreement/ life insurance'
    dtype: float64
  - name: 'property_if not A121/A122 : car or other, not in attribute 6'
    dtype: float64
  - name: property_real estate
    dtype: float64
  - name: property_unknown / no property
    dtype: float64
  - name: other_installment_plans_bank
    dtype: float64
  - name: other_installment_plans_none
    dtype: float64
  - name: other_installment_plans_stores
    dtype: float64
  - name: housing_for free
    dtype: float64
  - name: housing_own
    dtype: float64
  - name: housing_rent
    dtype: float64
  - name: job_management/ self-employed/ highly qualified employee/ officer
    dtype: float64
  - name: job_skilled employee / official
    dtype: float64
  - name: job_unemployed/ unskilled - non-resident
    dtype: float64
  - name: job_unskilled - resident
    dtype: float64
  - name: telephone_none
    dtype: float64
  - name: 'telephone_yes, registered under the customers name '
    dtype: float64
  - name: other_debtors_co-applicant
    dtype: float64
  - name: other_debtors_guarantor
    dtype: float64
  - name: other_debtors_none
    dtype: float64
  - name: foreign_worker_no
    dtype: float64
  - name: foreign_worker_yes
    dtype: float64
  - name: young
    dtype: float64
  - name: adult
    dtype: float64
  - name: senior
    dtype: float64
  - name: default
    dtype: int64
  splits:
  - name: train
    num_bytes: 428800
    num_examples: 800
  - name: test
    num_bytes: 107200
    num_examples: 200
  download_size: 87613
  dataset_size: 536000
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: test
    path: data/test-*
---
