Fixed prompt and response doc string (#1751)

Author: Gabefire

libs/labelbox/src/labelbox/client.py

@@ -895,17 +895,17 @@ def create_prompt_response_generation_project(self,
         NOTE: Only a dataset_name or dataset_id should be included 
         
         Examples:
-            >>> client.create_prompt_response_generation_project(name=project_name, dataset_name="new data set", project_kind=MediaType.LLMPromptResponseCreation)
-            >>>     This creates a new dataset with a default number of rows (100), creates new project and assigns a batch of the newly created datarows to the project.
+            >>> client.create_prompt_response_generation_project(name=project_name, dataset_name="new data set", media_type=MediaType.LLMPromptResponseCreation)
+            >>>     This creates a new dataset with a default number of rows (100), creates new prompt and response creation project and assigns a batch of the newly created data rows to the project.
 
-            >>> client.create_prompt_response_generation_project(name=project_name, dataset_name="new data set", data_row_count=10, project_kind=MediaType.LLMPromptCreation)
-            >>>     This creates a new dataset with 10 data rows, creates new project and assigns a batch of the newly created datarows to the project.
+            >>> client.create_prompt_response_generation_project(name=project_name, dataset_name="new data set", data_row_count=10, media_type=MediaType.LLMPromptCreation)
+            >>>     This creates a new dataset with 10 data rows, creates new prompt creation project and assigns a batch of the newly created datarows to the project.
 
-            >>> client.create_prompt_response_generation_project(name=project_name, dataset_id="clr00u8j0j0j0", project_kind=MediaType.LLMPromptCreation)
-            >>>     This creates a new project, and adds 100 datarows to the dataset with id "clr00u8j0j0j0" and assigns a batch of the newly created data rows to the project.
+            >>> client.create_prompt_response_generation_project(name=project_name, dataset_id="clr00u8j0j0j0", media_type=MediaType.LLMPromptCreation)
+            >>>     This creates a new prompt creation project, and adds 100 datarows to the dataset with id "clr00u8j0j0j0" and assigns a batch of the newly created data rows to the project.
 
-            >>> client.create_prompt_response_generation_project(name=project_name, dataset_id="clr00u8j0j0j0", data_row_count=10, project_kind=MediaType.LLMPromptResponseCreation)
-            >>>     This creates a new project, and adds 100 datarows to the dataset with id "clr00u8j0j0j0" and assigns a batch of the newly created 10 data rows to the project.
+            >>> client.create_prompt_response_generation_project(name=project_name, dataset_id="clr00u8j0j0j0", data_row_count=10, media_type=MediaType.LLMPromptResponseCreation)
+            >>>     This creates a new prompt and response creation project, and adds 100 datarows to the dataset with id "clr00u8j0j0j0" and assigns a batch of the newly created 10 data rows to the project.
 
         """
         if not dataset_id and not dataset_name:
@@ -1501,8 +1501,8 @@ def create_ontology(self,
             name (str): Name of the ontology
             normalized (dict): A normalized ontology payload. See above for details.
             media_type (MediaType or None): Media type of a new ontology
-            ontology_kind (OntologyKind or None): set to OntologyKind.ModelEvaluation if the ontology is for chat evaluation,
-                leave as None otherwise.
+            ontology_kind (OntologyKind or None): set to OntologyKind.ModelEvaluation if the ontology is for chat evaluation or 
+                OntologyKind.ResponseCreation if ontology is for response creation, leave as None otherwise.
 
         Returns:
             The created Ontology