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README.md
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- Image
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- Classification
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- Image Classification
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pretty_name:
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size_categories:
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- 10K<n<100K
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Based on [Zalando Research - FashionMNIST](https://github.com/zalandoresearch/fashion-mnist).
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Packaged into a CSV in a Row Major manner with added `Label` column.
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The first 60,000 samples are the _Train Set_ and
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- Image
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- Classification
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- Image Classification
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pretty_name: MNIST Like Datasets
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size_categories:
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- 10K<n<100K
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The dataset contains various MNIST like datasets in teh form of a `csv` files.
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## MNIST
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Based on the MNIST Dataset in OpenML: [OpenML `mnist_784`](https://www.openml.org/search?type=data&sort=runs&id=554&status=active).
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The way to reproduce:
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```python
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from sklearn.datasets import fetch_openml
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dfX, dsY = fetch_openml('mnist_784', version = 1, return_X_y = True, as_frame = True)
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dfX.columns = [str(ii) for ii in range(dfX.shape[1])]
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dfX['Label'] = dsY
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dfX.to_csv('MNIST.csv')
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```
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## Fashion MNIST
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Based on [Zalando Research - FashionMNIST](https://github.com/zalandoresearch/fashion-mnist).
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Packaged into a CSV in a Row Major manner with added `Label` column.
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The first 60,000 samples are the _Train Set_ and the last 10,000 samples are the _Test Set_.
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