Update README.md

README.md

@@ -1,12 +1,12 @@
----
-license: apache-2.0
-task_categories:
-- text-generation
-language:
-- en
-size_categories:
-- n<1K
----
+---
+license: apache-2.0
+task_categories:
+- text-generation
+language:
+- en
+size_categories:
+- n<1K
+---
 # Preparing Your Dataset
 
 Once you’ve decided that fine-tuning is the best approach—after optimizing your prompt as much as possible and identifying remaining model issues—you’ll need to prepare training data. Start by creating a diverse set of example conversations that mirror those the model will handle during production.
@@ -57,7 +57,7 @@ Each example should follow this structure below, consisting of a list of message
     - `parameters` (dict): An object that defines the inputs required by the tool
         - `type` (str): Specifies the expected type of the parameters. For this tool, the type is `object`, meaning structured data is required.
         - `properties` (dict): Describes the attributes the tool can accept, where each key represents a specific input parameter.
-        - `required` (list): Specifies which parameters are mandatory.
+        - `required` Optional (list): Specifies which parameters are mandatory.
     
     ```json
     [