Update README.md

README.md

@@ -74,7 +74,53 @@ dataset_info:
     num_examples: 569
   download_size: 141996
   dataset_size: 139405
+license: cc
+language:
+- en
+pretty_name: breast-cancer-wisconsin
+size_categories:
+- n<1K
 ---
-# Dataset Card for "data_cancer.csv"
+# breast-cancer-wisconsin
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+## Overview 
+
+The dataset contains features computed from digitized images of breast cancer biopsies, which are used to predict 
+whether a breast mass is benign (non-cancerous) or malignant (cancerous).
+
+## Dataset Details
+
+The original dataset is the [Breast Cancer Wisconsin (Diagnostic)](https://archive.ics.uci.edu/dataset/17/breast+cancer+wisconsin+diagnostic). This file concerns credit card applications. 
+The dataset is based on features computed from digitized images of breast mass tissue samples. These features are computed from a digitized image of a fine needle aspirate (FNA) of a breast mass. 
+Based on these features, the goal is to predict whether the mass is benign or malignant.
+
+```latex
+@inproceedings{Street1993NuclearFE,
+  title={Nuclear feature extraction for breast tumor diagnosis},
+  author={William Nick Street and William H. Wolberg and Olvi L. Mangasarian},
+  booktitle={Electronic imaging},
+  year={1993},
+  url={https://api.semanticscholar.org/CorpusID:14922543}
+}
+```
+
+- Dataset Name: breast-cancer-wisconsin
+- Language:  English
+- Total Size: 569 demonstrations
+
+## Contents
+The dataset consists of a data frame with 30 columns + diagnosis = M (37,3%) and B (62,7%).
+
+
+## How to use
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AiresPucrs/breast-cancer-wisconsin", split='train')
+
+```
+
+## License
+
+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.