metadata
dataset_info:
features:
- name: b
dtype: string
- name: '30.83'
dtype: string
- name: '0'
dtype: float64
- name: u
dtype: string
- name: g
dtype: string
- name: w
dtype: string
- name: v
dtype: string
- name: '1.25'
dtype: float64
- name: t
dtype: string
- name: t.1
dtype: string
- name: '01'
dtype: int64
- name: f
dtype: string
- name: g.1
dtype: string
- name: '00202'
dtype: string
- name: '0.1'
dtype: int64
- name: +
dtype: string
splits:
- name: train
num_bytes: 69072
num_examples: 689
download_size: 17253
dataset_size: 69072
license: cc
language:
- en
pretty_name: data-credit-card
size_categories:
- n<1K
data-credit-card
Overview
The data-credit-card dataset is used for credit card applications. It can also be used to explore biases in ML algorithms.
Dataset Details
The original dataset is the Credit Approval. This file concerns credit card applications. All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.
- Dataset Name: data-credit-card
- Language: English
- Total Size: 689 demonstrations
Contents
The dataset consists of a data frame with 16 columns.
- A1: b, a.
- A2: continuous.
- A3: continuous.
- A4: u, y, l, t.
- A5: g, p, gg.
- A6: c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.
- A7: v, h, bb, j, n, z, dd, ff, o.
- A8: continuous.
- A9: t, f.
- A10: t, f.
- A11: continuous.
- A12: t, f.
- A13: g, p, s.
- A14: continuous.
- A15: continuous.
- A16: + (44,4%) ,- (55,6%) (class attribute)
How to use
from datasets import load_dataset
dataset = load_dataset("AiresPucrs/data-credit-card", split='train')
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.