Datasets:

DoubleML
/

multimodal_confounding

Modalities:

Formats:

Size:

ArXiv:

Tags:

Causal Inference

Libraries:

License:

Dataset card Data Studio Files Files and versions

SvenKlaassen commited on Mar 11, 2024

Commit

b81f3f3

·

verified ·

1 Parent(s): 126f061

Update README.md

Files changed (1) hide show

README.md +9 -6

README.md CHANGED Viewed

@@ -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