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@@ -95,6 +95,18 @@ The dataset is based on the three commonly used datasets:
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  - [IMDB dataset](https://huggingface.co/datasets/imdb)
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  - [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html)
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  The original citations can be found below.
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  ## Uses
 
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  - [IMDB dataset](https://huggingface.co/datasets/imdb)
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  - [CIFAR-10 dataset](https://www.cs.toronto.edu/~kriz/cifar.html)
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+ All datasets are subsampled to be of equal size (n=50,000). The CIFAR-10 data is based on the trainings dataset, whereas the IMDB data contains train and test data
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+ to obtain 50,000 observations. The labels of the CIFAR-10 data are set to integer values 0 to 9.
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+ The Diamonds dataset is cleaned (values with `x`, `y`, `z` equal to 0 are removed) and outliers are dropped (such that 45<`depth`<75, 40<`table`<80, `x`<30, `y`<30 and 2<`z`<30).
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+ The remaining 53,907 observations are downsampled to the same size of 50,000 observations. Further `price` and `carat` are transformed with the natural logarithm and `cut`,
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+ `color` and `clarity` are dummy coded (with baselines Fair, D and I1).
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+ The versions to create this dataset can be found on Kaggle:
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+ - [Diamonds dataset](https://www.kaggle.com/datasets/shivam2503/diamonds)
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+ - [IMDB dataset](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv)
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+ - [CIFAR-10 dataset](https://www.kaggle.com/datasets/swaroopkml/cifar10-pngs-in-folders)
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  The original citations can be found below.
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  ## Uses