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+ ---
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+ {}
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+ ---
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+
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+ # Dataset Card for notMNIST
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+
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+ <!-- Provide a quick summary of the dataset. -->
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+
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+ ## Dataset Details
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+
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+ ### Dataset Description
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+
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+ <!-- Provide a longer summary of what this dataset is. -->
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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.
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+
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+ ### Dataset Sources
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+
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+ <!-- Provide the basic links for the dataset. -->
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+
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+ - **Homepage:** https://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html
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+
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+ ## Dataset Structure
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+
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+ <!-- 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. -->
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+
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+ Total images: 70,000
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+
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+ Classes: 10 categories
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+
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+ Splits:
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+
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+ - **Train:** 60,000 images
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+
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+ - **Test:** 10,000 images
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+
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+ Image specs: 28x28 pixels, grayscale
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+
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+ ## Example Usage
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+ Below is a quick example of how to load this dataset via the Hugging Face Datasets library.
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+ ```
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+ from datasets import load_dataset
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+
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+ # Load the dataset
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+ dataset = load_dataset("randall-lab/notmnist", split="train", trust_remote_code=True)
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+ # dataset = load_dataset("randall-lab/notmnist", split="test", trust_remote_code=True)
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+
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+ # Access a sample from the dataset
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+ example = dataset[0]
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+ image = example["image"]
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+ label = example["label"]
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+
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+ image.show() # Display the image
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+ print(f"Label: {label}")
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+ ```
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+
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+ ## Citation
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+
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+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
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+
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+ **BibTeX:**
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+
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+ @misc{bulatov2011notmnist,
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+ author={Yaroslav Bulatov},
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+ title={notMNIST dataset},
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+ year={2011},
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+ url={http://yaroslavvb.blogspot.com/2011/09/notmnist-dataset.html}
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+ }