Merge branch 'rena-prs' of https://github.com/aahill/azure-docs-pr into rena-prs

Author: aahill

articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/create-project.md

@@ -42,6 +42,8 @@ ms.custom: ignite-fall-2021, event-tier1-build-2022
 6. Select the container where you have uploaded your dataset. 
 
     >[!Note]
-    > If you have already labeled your data make sure it follows the [supported format](../../concepts/data-formats.md) and click on **Yes, my documents are already labeled and I have formatted JSON labels file** and select the labels file from the drop-down menu below. If you’re using the example dataset, select Y**es, my documents...** and in the “Labels documents” dropdown select “webOfScience_labelsFile”. Click **Next**.
+    > If you have already labeled your data make sure it follows the [supported format](../../concepts/data-formats.md) and click on **Yes, my documents are already labeled and I have formatted JSON labels file** and select the labels file from the drop-down menu below. 
+ 
+    > If you’re using one of the example datasets, use the included `webOfScience_labelsFile` or `movieLabels` json file. Then click **Next**.
     
 7. Review the data you entered and select **Create Project**.

articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/test-model.md

@@ -20,7 +20,7 @@ To test your deployed models within [Language Studio](https://aka.ms/LanguageStu
 
 4. Select the deployment you want to query/test from the dropdown.
 
-5. Enter the text you want to submit in the request, or upload a `.txt` document to use. If you’re using the example dataset, upload the “webOfScience_testingFile”.
+5. Enter the text you want to submit in the request, or upload a `.txt` document to use. If you’re using one of the example datasets, you can use one of the included .txt files.
 
 6. Click on **Run the test** from the top menu.
 

articles/cognitive-services/language-service/custom-text-classification/includes/language-studio/train-model.md

@@ -28,5 +28,5 @@ To start training your model from within the [Language Studio](https://aka.ms/La
 
     > [!NOTE]
     > * Only successfully completed training jobs will generate models.
-    > * **Training Time** can take between a couple of minutes to several hours based on the size of your labeled data.
+    > * The time to train the model can take anywhere between a few minutes to several hours based on the size of your labeled data.
     > * You can only have one training job running at a time. You can't start other training job within the same project until the running job is completed.

articles/cognitive-services/language-service/custom-text-classification/includes/quickstarts/blob-storage-upload.md

@@ -43,8 +43,9 @@ The provided sample dataset contains about 210 documents, each of which is an ab
 
 ---
 
-2. In the [Azure portal](https://portal.azure.com), navigate to the storage account you created, and select it. You can do this by clicking “Storage accounts” > inputting your storage account name into “Filter for any field”.
-**Troubleshooting**: if your resource group does not show up, make sure “Subscription equals” filter is selected for “All”
+2. In the [Azure portal](https://portal.azure.com), navigate to the storage account you created, and select it. You can do this by clicking **Storage accounts** and typing your storage account name into **Filter for any field**.
+
+    if your resource group does not show up, make sure the **Subscription equals** filter is set to **All**.
 
 3. In your storage account, select **Containers** from the left menu, located below **Data storage**. On the screen that appears, select **+ Container**. Give the container the name **example-data** and leave the default **Public access level**.
 

articles/cognitive-services/language-service/custom-text-classification/includes/resource-creation-azure-portal.md

@@ -43,4 +43,4 @@ ms.custom: language-service-custom-classification, event-tier1-build-2022
     | Storage account name | Any name |
     | Storage account type | Standard LRS |
 
-1. Make sure the **Responsible AI Notice** is checked. Select **Review + create** at the bottom of the page, then select.
+1. Make sure the **Responsible AI Notice** is checked. Select **Review + create** at the bottom of the page.

articles/cognitive-services/language-service/overview.md

@@ -128,7 +128,7 @@ This Language service unifies the known Microsoft services of Text Analytics, Qn
       :::image type="content" source="media/studio-examples/single-classification.png" alt-text="A screenshot of a custom text classification example." lightbox="media/studio-examples/single-classification.png":::
    :::column-end:::
    :::column span="":::
-      [Custom text classification](./custom-text-classification/overview.md) enables you to build custom AI models to classify an unstructured passage of text into custom classes you define.
+      [Custom text classification](./custom-text-classification/overview.md) enables you to build custom AI models to classify unstructured text documents into custom classes you define.
    :::column-end:::
 :::row-end:::