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# Dataset Card for notMNIST

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

## Dataset Details

### Dataset Description

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The notMNIST dataset is a image recognition dataset of font glypyhs for the letters A through J useful with simple neural networks.

### Dataset Sources

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- **Homepage:** https://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html

## Dataset Structure

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Total images: 70,000

Classes: 10 categories

Splits:

- **Train:** 60,000 images

- **Test:** 10,000 images

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

# Access a sample from the dataset  
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{bulatov2011notmnist,
  author={Yaroslav Bulatov},
  title={notMNIST dataset},
  year={2011},
  url={http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html}
}