Update README.md

README.md

@@ -10,7 +10,7 @@ dataset_info:
     dtype: float64
   - name: l1
     dtype: float64
-  - name: Y
+  - name: 'Y'
     dtype: float64
   - name: D_1
     dtype: float64
@@ -24,7 +24,7 @@ dataset_info:
     dtype: float64
   - name: x
     dtype: float64
-  - name: y
+  - name: 'y'
     dtype: float64
   - name: z
     dtype: float64
@@ -74,10 +74,14 @@ dataset_info:
     dtype: image
   splits:
   - name: train
-    num_bytes: 187509908.0
+    num_bytes: 187509908
     num_examples: 50000
   download_size: 0
-  dataset_size: 187509908.0
+  dataset_size: 187509908
+tags:
+- Causal Inference
+size_categories:
+- 10K<n<100K
 ---
 
 # Dataset Card
@@ -87,7 +91,7 @@ The dataset is generated according to the description in [DoubleMLDeep: Estimati
 
 ## Dataset Details
 
-### Dataset Description
+### Dataset Description & Usage
 
 The dataset contains the following columns:
 
@@ -107,9 +111,27 @@ The dataset should as a benchmark to compare different causal inference methods
 
 ## Dataset Structure
 
-<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
+### Data Instances
 
-[More Information Needed]
+### Data Fields
+
+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