Update README.md

README.md

@@ -1587,7 +1587,52 @@ dataset_info:
     num_examples: 10000
   download_size: 55424916
   dataset_size: 439600000
+pretty_name: MNIST-digit
+size_categories:
+- 10K<n<100K
 ---
-# Dataset Card for "MNIST"
 
-[More Information needed](https://github.com/huggingface/datasets/blob/main/CONTRIBUTING.md#how-to-contribute-to-the-dataset-cards)
+# MNIST-digit
+
+## 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
+
+```python
+from datasets import load_dataset
+
+dataset = load_dataset("AiresPucrs/MNIST-digit", split='train')
+
+```
+
+## License
+The dataset is licensed under the Data files © Original Authors.
+
+
+
+