update upload zipped bundle as a dataset in execute python/r script articles

Author: likebupt

articles/machine-learning/algorithm-module-reference/execute-python-script.md

@@ -130,7 +130,7 @@ The **Execute Python Script** module contains sample Python code that you can us
 
     ![Execute Python input map](media/module/python-module.png)
 
-4. To include new Python packages or code, add the zipped file containing these custom resources on **Script bundle**. The input to **Script bundle** must be a zipped file uploaded to your workspace as a File type Dataset. 
+4. To include new Python packages or code, add the zipped file containing these custom resources on **Script bundle**. The input to **Script bundle** must be a zipped file uploaded to your workspace as a File type Dataset. You can upload the dataset in the **Datasets** asset page, and you can drag and drop the dataset module from the **My datasets** list in the left module tree in designer authoring page. 
 
     Any file contained in the uploaded zipped archive can be used during pipeline execution. If the archive includes a directory structure, the structure is preserved, but you must prepend a directory called **src** to the path.
 

articles/machine-learning/algorithm-module-reference/execute-r-script.md

@@ -173,9 +173,9 @@ There are many ways that you can extend your pipeline by using custom R script.
 
 The **Execute R Script** module supports arbitrary R script files as inputs. To do so, they must be uploaded to your workspace as part of the ZIP file.
 
-1. To upload a ZIP file containing R code to your workspace, click **New**, click **Dataset**, and then select **From local file** and the **Zip file** option.  
+1. To upload a ZIP file containing R code to your workspace, go to the **Datasets** asset page, click **Create dataset**, and then select **From local file** and the **File** dataset type option.  
 
-1. Verify that the zipped file is available in the **Saved Datasets** list.
+1. Verify that the zipped file is available in the **My Datasets** list under **Datasets** category in the left module tree.
 
 1.  Connect the dataset to the **Script Bundle** input port.