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# For reference on dataset card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/datasetcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/datasets-cards
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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/}
}
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