Merge pull request #78480 from PatrickFarley/formre-wording

[cog serv] Formre wording

Author: PRMerger15

articles/cognitive-services/form-recognizer/quickstarts/curl-train-extract.md

@@ -23,7 +23,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 To complete this quickstart, you must have:
 - Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [cURL](https://curl.haxx.se/windows/) installed.
-- A set of at least five forms of the same type. You can use a [sample dataset](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart.
+- A set of at least five forms of the same type. You will use this data to train the model. You can use a [sample dataset](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the data to the root of an Azure Blob Storage account.
 
 ## Create a Form Recognizer resource
 
@@ -44,7 +44,7 @@ When your Form Recognizer resource finishes deploying, find and select it from t
 
 ## Train a Form Recognizer model
 
-First, you'll need a set of training data in an Azure Storage blob. You should have a minimum of five sample forms (PDF documents and/or images) of the same type/structure as your main input data. Or, you can use a single empty form. The form's file name needs to include the word "empty."
+First, you'll need a set of training data in an Azure Storage blob. You should have a minimum of five sample forms (PDF documents and/or images) of the same type/structure as your main input data. Or, you can use a single empty form with two filled-in forms. The empty form's file name needs to include the word "empty."
 
 To train a Form Recognizer model by using the documents in your Azure blob container, call the **Train** API by running the cURL command that follows. Before you run the command, make these changes:
 

articles/cognitive-services/form-recognizer/quickstarts/python-train-extract.md

@@ -23,7 +23,7 @@ If you don't have an Azure subscription, create a [free account](https://azure.m
 To complete this quickstart, you must have:
 - Access to the Form Recognizer limited-access preview. To get access to the preview, fill out and submit the [Form Recognizer access request](https://aka.ms/FormRecognizerRequestAccess) form.
 - [Python](https://www.python.org/downloads/) installed (if you want to run the sample locally).
-- A set of at least five forms of the same type. You can use a [sample dataset](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart.
+- A set of at least five forms of the same type. You will use this data to train the model. You can use a [sample dataset](https://go.microsoft.com/fwlink/?linkid=2090451) for this quickstart. Upload the data to the root of an Azure Blob Storage account.
 
 ## Create a Form Recognizer resource
 
@@ -44,7 +44,7 @@ When your Form Recognizer resource finishes deploying, find and select it from t
 
 ## Train a Form Recognizer model
 
-First, you'll need a set of training data in an Azure Storage blob. You should have a minimum of five sample forms (PDF documents and/or images) of the same type/structure as your main input data. Or, you can use a single empty form. The form's file name needs to include the word "empty."
+First, you'll need a set of training data in an Azure Storage blob. You should have a minimum of five sample forms (PDF documents and/or images) of the same type/structure as your main input data. Or, you can use a single empty form with two filled-in forms. The empty form's file name needs to include the word "empty."
 
 To train a Form Recognizer model by using the documents in your Azure blob container, call the **Train** API by running the python code that follows. Before you run the code, make these changes: