README.md

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---

# Dataset Card for MNIST

<!-- Provide a quick summary of the dataset. -->

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->
The MNIST database is a large collection of handwritten digits. It has a training set of 60,000 examples, and a test set of 10,000 examples.

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Homepage:** https://paperswithcode.com/dataset/mnist#:~:text=The%20MNIST%20database%20(Modified%20National,test%20set%20of%2010%2C000%20examples.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

Total images: 70,000

Splits:

- **Train**: 60,000 images

- **Test**: 10,000 images

Classes (labels): 10 categories

Image specs: 28x28 pixels, grayscale

## Example Usage
Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
```
from datasets import load_dataset

# Load the dataset
dataset = load_dataset("randall-lab/mnist", split="train", trust_remote_code=True)
# dataset = load_dataset("randall-lab/mnist", split="test", trust_remote_code=True)

# Access a sample from the training set
example = dataset[0]
image = example["image"]
label = example["label"]

image.show()  # Display the image
print(f"Label: {label}")
```

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

@misc{lecun1998mnist,
  author={Yann LeCun and Corinna Cortes and Christopher J.C. Burges},
  title={The MNIST database of handwritten digits},
  year={1998},
  url={http://yann.lecun.com/exdb/mnist/}
}