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@@ -11,12 +11,30 @@ tags:
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  - Image
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  - Classification
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  - Image Classification
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- pretty_name: Fashion MNIST
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  size_categories:
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  - 10K<n<100K
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  ---
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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 teh last 10,000 samples are the _Test Set_.
 
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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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  ---
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+ The dataset contains various MNIST like datasets in teh form of a `csv` files.
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+
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+ ## MNIST
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+
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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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+
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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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+
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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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+
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+ ## Fashion MNIST
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+
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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_.