Update README.md

README.md

@@ -93,57 +93,19 @@ language:
 pretty_name: COMPAS
 size_categories:
 - 10K<n<100K
+task_categories:
+- text-classification
+tags:
+- legal
 ---
+# COMPAS (Teeny-Tiny Castle)
 
-# COMPAS
+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. 
 
-## Overview 
-
-The COMPAS (Correctional Offender Management Profiling for Alternative Sanctions) dataset has been used to analyze various aspects of the criminal justice system, including whether certain groups of defendants are more likely
-to receive harsher sentences, whether the algorithm's predictions are accurate, and the impact of these predictions on sentencing decisions. However, it's crucial to consider the context and potential biases when interpreting the results from this dataset.
-
-
-## Dataset Details
-
-This data originally came from [COMPAS Recidivism Racial Bias](https://www.kaggle.com/datasets/danofer/compass)
-
-The 40 columns provide a detailed look at the defendant's demographic information, assessment details, 
-recidivism indicators, and risk scores assigned by the COMPAS algorithm. Each row represents a unique assessment or case, 
-capturing the information associated with an individual's involvement with the criminal justice system and the assessment made by the 
-COMPAS tool regarding their risk of Recidivism and other factors.
-
-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).
-
-Original Article:
-[Machine Bias](https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing)
-
-```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: 18,316 demonstrations
-
-## 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).
-
-
-## How to use
+## How to Use
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("AiresPucrs/COMPAS", split='train')
-
+dataset = load_dataset("AiresPucrs/COMPAS", split = 'train')
 ```
-
-## License
-The dataset is licensed under the [Open Database Commons ](https://opendatacommons.org/licenses/dbcl/1-0/).