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README.md

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-license: mit
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+---
+license: mit
+---
+
+# EMNIST Balanced Dataset
+
+## Authors
+- **Gregory Cohen**
+- **Saeed Afshar**
+- **Jonathan Tapson**
+- **Andre van Schaik**
+
+The MARCS Institute for Brain, Behaviour and Development  
+Western Sydney University  
+Penrith, Australia 2751
+
+Email: g.cohen@westernsydney.edu.au
+
+## What is it?
+The EMNIST dataset is a set of handwritten character digits derived from the NIST Special Database 19 ([NIST Special Database 19](https://www.nist.gov/srd/nist-special-database-19)) and converted to a 28x28 pixel image format and dataset structure that directly matches the MNIST dataset ([MNIST](http://yann.lecun.com/exdb/mnist/)). Further information on the dataset contents and conversion process can be found in the paper available at [arXiv:1702.05373v1](https://arxiv.org/abs/1702.05373v1).
+
+## Formats
+The version of the dataset is provided in the binary format as the original MNIST dataset as outlined in [MNIST dataset format](http://yann.lecun.com/exdb/mnist/).
+
+## Dataset Summary
+
+- **EMNIST Balanced**: 131,600 characters. 47 balanced classes.
+
+Please refer to the EMNIST paper (available at [arXiv:1702.05373v1](https://arxiv.org/abs/1702.05373v1)) for further details of the dataset structure.
+
+## How to cite
+Please cite the following paper when using or referencing the dataset:
+
+Cohen, G., Afshar, S., Tapson, J., & van Schaik, A. (2017). EMNIST: an extension of MNIST to handwritten letters. Retrieved from [arXiv:1702.05373](http://arxiv.org/abs/1702.05373)
+
+## Files
+The dataset consists of the following files:
+- emnist-balanced-mapping.txt
+- emnist-balanced-test-images-idx3-ubyte.gz
+- emnist-balanced-test-labels-idx1-ubyte.gz
+- emnist-balanced-train-images-idx3-ubyte.gz
+- emnist-balanced-train-labels-idx1-ubyte.gz
+
+
+## License and Usage
+This copy of dataset is co-located on Hugging Face for non-profitable usage. If there are any conflicts of copyright, please contact me to delete it.