---
license: cc0-1.0
dataset_info:
  features:
  - name: Age
    dtype: int64
  - name: Sex
    dtype: string
  - name: Job
    dtype: int64
  - name: Housing
    dtype: string
  - name: Saving accounts
    dtype: string
  - name: Checking account
    dtype: string
  - name: Credit amount
    dtype: int64
  - name: Duration
    dtype: int64
  - name: Purpose
    dtype: string
  - name: Risk
    dtype: string
  splits:
  - name: train
    num_bytes: 85728
    num_examples: 1000
  download_size: 13955
  dataset_size: 85728
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- en
pretty_name: german-credit-data
size_categories:
- n<1K
---
# German Credit Data

## Overview 

This dataset has information about 1000 individuals regarding their credit scores (bad = 0, good = 1), 
all set as a binary classification problem.

## Dataset Details

The dataset is a smaller version of the original dataset. This data originally came from [Statlog (German Credit Data)](https://archive.ics.uci.edu/ml/datasets/statlog+(german+credit+data))

- Dataset Name: [German Credit Risk - With Target](https://www.kaggle.com/datasets/kabure/german-credit-data-with-risk))
- Language:  English
- Total Size: 1000   

## Contents

The dataset consists of a data frame with the following columns:

- Age [int64]
- Sex [string]
- Job [int64]
- Housing [string]
- Saving accounts [string]
- Checking account [string]
- Credit amount [int64]
- Duration [int64]
- Purpose [string]
- Risk [string]

## How to use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/german-credit-data", split = 'train')
```

## License

The German Credit Risk dataset is licensed under the [Creative Commons](https://creativecommons.org/publicdomain/zero/1.0/) License CC0 1.0 Universal.