README.md

---
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
dataset_info:
  features:
  - name: diagnosis
    dtype: string
  - name: radius_mean
    dtype: float64
  - name: texture_mean
    dtype: float64
  - name: perimeter_mean
    dtype: float64
  - name: area_mean
    dtype: float64
  - name: smoothness_mean
    dtype: float64
  - name: compactness_mean
    dtype: float64
  - name: concavity_mean
    dtype: float64
  - name: concave points_mean
    dtype: float64
  - name: symmetry_mean
    dtype: float64
  - name: fractal_dimension_mean
    dtype: float64
  - name: radius_se
    dtype: float64
  - name: texture_se
    dtype: float64
  - name: perimeter_se
    dtype: float64
  - name: area_se
    dtype: float64
  - name: smoothness_se
    dtype: float64
  - name: compactness_se
    dtype: float64
  - name: concavity_se
    dtype: float64
  - name: concave points_se
    dtype: float64
  - name: symmetry_se
    dtype: float64
  - name: fractal_dimension_se
    dtype: float64
  - name: radius_worst
    dtype: float64
  - name: texture_worst
    dtype: float64
  - name: perimeter_worst
    dtype: float64
  - name: area_worst
    dtype: float64
  - name: smoothness_worst
    dtype: float64
  - name: compactness_worst
    dtype: float64
  - name: concavity_worst
    dtype: float64
  - name: concave points_worst
    dtype: float64
  - name: symmetry_worst
    dtype: float64
  - name: fractal_dimension_worst
    dtype: float64
  splits:
  - name: train
    num_bytes: 139405
    num_examples: 569
  download_size: 141996
  dataset_size: 139405
license: cc
language:
- en
pretty_name: Breast Cancer Wisconsin
size_categories:
- n<1K
task_categories:
- text-classification
tags:
- biology
---
# Breast Cancer Wisconsin (Teeny-Tiny Castle)

This dataset is part of a 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. 

## How to Use

```python
from datasets import load_dataset

dataset = load_dataset("AiresPucrs/breast-cancer-wisconsin", split = 'train')
```