PR review changes

Author: v-shils

articles/ai-foundry/how-to/develop/cloud-evaluation.md

@@ -110,7 +110,7 @@ To learn more about input data formats for evaluating agents, see [evaluating Az
 
 We provide two ways to register your data in Azure AI project required for evaluations in the cloud:
 
-1. Uploading new datasets to your Project:
+- Uploading new datasets to your Project:
 
 - **From SDK**: Upload new data from your local directory to your Azure AI project in the SDK, and fetch the dataset ID as a result. 
 
@@ -120,7 +120,7 @@ data_id, _ = project_client.upload_file("./evaluate_test_data.jsonl")
 
 - **From UI**: Alternatively, you can upload new data or update existing data versions by following the UI walkthrough under the **Data** tab of your Azure AI project.
 
-2. Specifying existing datasets uploaded to your Project:
+- Specifying existing datasets uploaded to your Project:
 
 - **From SDK**: if you already know the dataset name you created, construct the dataset ID in this format: `/subscriptions/<subscription-id>/resourceGroups/<resource-group>/providers/Microsoft.MachineLearningServices/workspaces/<project-name>/data/<dataset-name>/versions/<version-number>`