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Update README.md

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  ## Abstract
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- The AlphaNum dataset is a collection of 108,740 grayscale images of handwritten characters and numerals as well as special character, each sized 24x24 pixels. This dataset is designed to bolster Optical Character Recognition (OCR) research and development.
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  For consistency, images extracted from the MNIST dataset have been color-inverted to match the grayscale aesthetics of the AlphaNum dataset.
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  ## Abstract
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+ The AlphaNum dataset is a collection of 108.791 grayscale images of handwritten characters and numerals as well as special character, each sized 24x24 pixels. This dataset is designed to bolster Optical Character Recognition (OCR) research and development.
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  For consistency, images extracted from the MNIST dataset have been color-inverted to match the grayscale aesthetics of the AlphaNum dataset.
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