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DoubleML
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multimodal_confounding

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Causal Inference

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Dataset card Data Studio Files Files and versions Community

SvenKlaassen commited on Mar 11, 2024

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@@ -118,20 +118,23 @@ The dataset should as a benchmark to compare different causal inference methods
 The data fields can be devided into several categories:
 - **Outcome and Treatments**
-  - `Y` (`float64`): Outcome of interest (generated)
-  - `D_1` (`float64`): Treatment value (generated)
 - **Tabular Features**
-  - test
 - **Text Features**
-  - test
 - **Image Features**
-  - test
 - **Oracle Features**
-  - test
 ## Limitations

 The data fields can be devided into several categories:
 - **Outcome and Treatments**
+  - `Y` (`float64`): Outcome of interest
+  - `D_1` (`float64`): Treatment value
 - **Tabular Features**
+  - `price` (`float64`):
 - **Text Features**
+  - `review` (`string`): IMDB review text
+  - `sentiment` (`string`): Corresponding
 - **Image Features**
+  - `image` (`image`): Image
+  - `label` (`int64`): Corresponding label from `0` to `9`
 - **Oracle Features**
+  - `cond_exp_y` (`float64`): Expected value `Y` conditional on `D_1`, etc.
+  - `D_1` (`float64`): Treatment value (generated)
 ## Limitations