langtest.transform.disinformation.DisinformationTestFactory#

class DisinformationTestFactory(data_handler: List[Sample], tests: Dict | None = None, **kwargs)#

Bases: ITests

Factory class for disinformation test

__init__(data_handler: List[Sample], tests: Dict | None = None, **kwargs) → None#

Methods

__init__(data_handler[, tests])
async_run(model, *args, **kwargs)
available_tests()	Returns a list of available test scenarios for the test class.
run(sample_list, model, **kwargs)	Runs the specified tests on the given data and returns a list of results.
transform()	Runs the test and returns the results.

Attributes

alias_name
supported_tasks

classmethod available_tests() → Dict[str, str]#

Returns a list of available test scenarios for the test class.

Returns:

A list of available test scenarios for the test class.

Return type:

List[str]

async classmethod run(sample_list: List[Sample], model: ModelAPI, **kwargs) → List[Sample]#

Runs the specified tests on the given data and returns a list of results.

Parameters:

• sample_list (Dict[str, List[Sample]]) – A dictionary mapping test scenario names to a list of Sample objects.

• model (ModelAPI) – A ModelAPI object representing the model to be tested.

Returns:

A list of Sample objects with the test results.

Return type:

List[Sample]

transform() → List[Sample]#

Runs the test and returns the results.

Returns:

A list of results from running the test.

Return type:

List[Results]