README.md

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license: mit
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# AlphaNum Dataset

## Dataset Summary
The AlphaNum dataset, created by Louis Rädisch, is a collection of handwritten characters and digits intended for the use in Optical Character Recognition (OCR) tasks. This dataset is a compilation from various sources and includes labels from 0-35, where 0-25 represent the letters A-Z and 26-35 represent the digits 0-9. The images from the MNIST dataset included have been color inverted.

## Dataset Structure
### Data Instances
A data instance in this dataset is an image of a handwritten character or digit along with its corresponding label.

### Data Fields
1) 'image': The image of the handwritten character or digit.
2) 'label': The label for the character or digit in the image. (0-25 for A-Z, 26-35 for 0-9)

### Data Splits
The dataset is divided into training and test sets.

## Dataset Use
The AlphaNum dataset is suitable for tasks related to text recognition, document processing, and machine learning, particularly in the development and improvement of OCR models.