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@@ -42,53 +42,22 @@ dataset_info:
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  license: cc
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  language:
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  - en
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- pretty_name: data-credit-card
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  size_categories:
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  - n<1K
 
 
 
 
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  ---
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- # data-credit-card
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- ## Overview
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- The data-credit-card dataset is used for credit card applications. It can also be used to explore biases in ML algorithms.
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-
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- ## Dataset Details
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-
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- The original dataset is the [Credit Approval](https://archive.ics.uci.edu/datasets). This file concerns credit card applications.
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- All attribute names and values have been changed to meaningless symbols to protect the confidentiality of the data.
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-
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- - Dataset Name: data-credit-card
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- - Language: English
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- - Total Size: 689 demonstrations
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-
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- ## Contents
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- The dataset consists of a data frame with 16 columns.
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- - A1: b, a.
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- - A2: continuous.
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- - A3: continuous.
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- - A4: u, y, l, t.
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- - A5: g, p, gg.
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- - A6: c, d, cc, i, j, k, m, r, q, w, x, e, aa, ff.
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- - A7: v, h, bb, j, n, z, dd, ff, o.
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- - A8: continuous.
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- - A9: t, f.
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- - A10: t, f.
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- - A11: continuous.
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- - A12: t, f.
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- - A13: g, p, s.
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- - A14: continuous.
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- - A15: continuous.
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- - A16: + (44,4%) ,- (55,6%) (class attribute)
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-
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- ## How to use
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  ```python
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  from datasets import load_dataset
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- dataset = load_dataset("AiresPucrs/data-credit-card", split='train')
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-
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  ```
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-
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- ## License
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-
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- This dataset is licensed under a [Creative Commons Attribution 4.0 International](https://creativecommons.org/licenses/by/4.0/legalcode) (CC BY 4.0) license.
 
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  license: cc
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  language:
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  - en
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+ pretty_name: Credit Card Dataset
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  size_categories:
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  - n<1K
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+ task_categories:
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+ - text-classification
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+ tags:
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+ - finance
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  ---
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+ # Credit Card Dataset (Teeny-Tiny Castle)
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+ This dataset is part of the tutorial tied to the [Teeny-Tiny Castle](https://github.com/Nkluge-correa/TeenyTinyCastle), an open-source repository containing educational tools for AI Ethics and Safety research.
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+ ## How to Use
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```python
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  from datasets import load_dataset
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+ dataset = load_dataset("AiresPucrs/data-credit-card", split = 'train')
 
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  ```