Update README.md

README.md

@@ -1587,52 +1587,19 @@ dataset_info:
     num_examples: 10000
   download_size: 55424916
   dataset_size: 439600000
-pretty_name: MNIST-digit
+pretty_name: MNIST
 size_categories:
 - 10K<n<100K
+license: other
 ---
+# MNIST (Teeny-Tiny Castle)
 
-# MNIST-digit
+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 MNIST dataset is a widely used dataset in the field of machine learning and computer vision. 
-This dataset is a handwritten digit (0-9). 
-It's used for tasks like digit recognition, where the goal is to correctly identify the digit (0-9) from the image.
-
-
-## Dataset Details
-
-The [MNIST](https://www.tensorflow.org/datasets/catalog/mnist) (Modified National Institute of Standards and Technology) dataset
-was introduced in a paper by Yann LeCun, Corinna Cortes, and CJ Burges in 2010:
-
-```latex
-@article{lecun2010mnist,
-  title={MNIST handwritten digit database},
-  author={LeCun, Yann and Cortes, Corinna and Burges, CJ},
-  journal={ATT Labs [Online]. Available: http://yann.lecun.com/exdb/mnist},
-  volume={2},
-  year={2010}
-}
-```
-## Contents
-
-The dataset consists of 60,000 training images and 10,000 testing images. Each image is a grayscale representation of a 
-handwritten digit, with a resolution of 28x28 pixels. 
-
-
-## How to use
+## How to Use
 
 ```python
 from datasets import load_dataset
 
-dataset = load_dataset("AiresPucrs/MNIST-digit", split='train')
-
+dataset = load_dataset("AiresPucrs/MNIST-digit", split = 'train')
 ```
-
-## License
-The dataset is licensed under the Data files © Original Authors.
-
-
-
-