Update README.md

README.md

@@ -87,7 +87,58 @@ dataset_info:
     num_examples: 18316
   download_size: 1350808
   dataset_size: 7742099
+license: odc-by
+language:
+- en
+pretty_name: COMPAS
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "COMPAS.csv"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# COMPAS
+
+## Overview 
+
+The COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) dataset is a popular commercial 
+algorithm used by judges and parole officers for scoring criminal defendant’s likelihood of reoffending (recidivism).  
+
+
+## Dataset Details
+
+This data originally came from [COMPAS Recidivism Racial Bias](https://www.kaggle.com/datasets/danofer/compass)
+
+The original dataset contains :
+
+
+```latex
+@incollection{angwin2022machine,
+  title={Machine bias},
+  author={Angwin, Julia and Larson, Jeff and Mattu, Surya and Kirchner, Lauren},
+  booktitle={Ethics of data and analytics},
+  pages={254--264},
+  year={2022},
+  publisher={Auerbach Publications}
+}
+```
+- Dataset Name: **COMPAS**
+- Language:  English
+- Total Size: 
+
+## Contents
+Data contains variables used by the COMPAS algorithm in scoring defendants and their outcomes within 2 years of the decision for over 10,000 criminal defendants in Broward County, Florida.
+3 subsets of the data are provided, including a subset of only violent recidivism (as opposed to, e.g. being reincarcerated for non-violent offenses such as vagrancy or Marijuana).
+
+An in-depth analysis by ProPublica can be found in their [data methodology article](https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm).
+
+
+## How to use
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AiresPucrs/COMPAS", split='train')
+
+```
+
+## License
+The dataset is licensed under the [Open Database Commons ](https://opendatacommons.org/licenses/dbcl/1-0/).