Merge pull request #54222 from DaveVoyles/patch-16

Included link to the iris.csv dataset from Kaggle

Author: ktoliver

articles/batch/tutorial-run-python-batch-azure-data-factory.md

@@ -29,6 +29,7 @@ If you don’t have an Azure subscription, create a [free account](https://azure
 
 * An installed [Python](https://www.python.org/downloads/) distribution, for local testing.
 * The [Azure](https://pypi.org/project/azure/) `pip` package.
+* The [iris.csv dataset](https://www.kaggle.com/uciml/iris/version/2#Iris.csv)
 * An Azure Batch account and a linked Azure Storage account. See [Create a Batch account](quick-create-portal.md#create-a-batch-account) for more information on how to create and link Batch accounts to storage accounts.
 * An Azure Data Factory account. See [Create a data factory](../data-factory/quickstart-create-data-factory-portal.md#create-a-data-factory) for more information on how to create a data factory through the Azure portal.
 * [Batch Explorer](https://azure.github.io/BatchExplorer/).
@@ -61,7 +62,7 @@ Here you'll create blob containers that will store your input and output files f
 1. Sign in to Storage Explorer using your Azure credentials.
 1. Using the storage account linked to your Batch account, create two blob containers (one for input files, one for output files) by following the steps at [Create a blob container](../vs-azure-tools-storage-explorer-blobs.md#create-a-blob-container).
     * In this example, we'll call our input container `input`, and our output container `output`.
-1. Upload `main.py` and `iris.csv` to your input container `input` using Storage Explorer by following the steps at [Managing blobs in a blob container](../vs-azure-tools-storage-explorer-blobs.md#managing-blobs-in-a-blob-container)
+1. Upload `main.py` and [`iris.csv`](https://www.kaggle.com/uciml/iris/version/2#Iris.csv) to your input container `input` using Storage Explorer by following the steps at [Managing blobs in a blob container](../vs-azure-tools-storage-explorer-blobs.md#managing-blobs-in-a-blob-container)
 
 
 ## Develop a script in Python