Datasets:
tabular feature description
Browse files
README.md
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@@ -103,9 +103,9 @@ The dataset is based on the three commonly used datasets:
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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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- `label` (`int64`): Corresponding label from `0` to `9`
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- **Tabular Features**
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- `price` (`float64`):
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- **Oracle Features**
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- `cond_exp_y` (`float64`): Expected value of `Y` conditional on `D_1`, `sentiment`, `label` and `price`
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The versions to create this dataset can be found on Kaggle:
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- [Diamonds dataset (Kaggle)](https://www.kaggle.com/datasets/shivam2503/diamonds)
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- [IMDB dataset (Kaggle)](https://www.kaggle.com/datasets/lakshmi25npathi/imdb-dataset-of-50k-movie-reviews?select=IMDB+Dataset.csv)
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- [CIFAR-10 dataset (Kaggle)](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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- `label` (`int64`): Corresponding label from `0` to `9`
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- **Tabular Features**
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- `price` (`float64`): Logarithm of the price in US dollars
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- `carat` (`float64`): Logarithm of the weight of the diamond
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- `x` (`float64`): Length in mm
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- `y` (`float64`): Width in mm
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- `z` (`float64`): Depth in mm
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- `depth` (`float64`): Total depth percentage
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- `table` (`float64`): Width of top of diamond relative to widest point
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- **Cut**: Quality of the cut (`Fair`, `Good`, `Very Good`, `Premium`, `Ideal`) (dummy coded with `Fair` as baseline)
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- `cut_Good` (`bool`)
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- `cut_Very Good` (`bool`)
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- `cut_Premium` (`bool`)
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- `cut_Ideal` (`bool`)
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- **Color**: Diamond color, from `J`(worst) to `D`(best) (dummy coded with `D` as baseline)
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- `color_E` (`bool`)
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- `color_F` (`bool`)
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- `color_G` (`bool`)
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- `color_H` (`bool`)
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- `color_I` (`bool`)
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- `color_J` (`bool`)
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- **Clarity**: Measurement of diamond clarity (`I1` (worst), `SI2`, `SI1`, `VS2`, `VS1`, `VVS2`, `VVS1`, `IF` (best)) (dummy coded with `I1` as baseline)
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- `clarity_SI2` (`bool`)
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- `clarity_SI1` (`bool`)
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- `clarity_VS2` (`bool`)
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- `clarity_VS1` (`bool`)
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- `clarity_VVS2` (`bool`)
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- `clarity_VVS1` (`bool`)
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- `clarity_IF` (`bool`)
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- **Oracle Features**
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- `cond_exp_y` (`float64`): Expected value of `Y` conditional on `D_1`, `sentiment`, `label` and `price`
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