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Fixed prompt and response doc string #1751

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Jul 26, 2024
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Fixed prompt and response doc string #1751

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20 changes: 10 additions & 10 deletions libs/labelbox/src/labelbox/client.py
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Original file line number Diff line number Diff line change
Expand Up @@ -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:
Expand Down Expand Up @@ -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
Expand Down
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