langtest.transform.bias.ReligionBias#

class ReligionBias#

Bases: BaseBias

Class for religious biases

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Abstract method that implements the creation of an asyncio task for the bias measure.
run(sample_list, model, **kwargs)	Abstract method that implements the bias measure.
transform(sample_list, names_to_substitute, ...)	Replace names to check the religion bias

Attributes

alias_name
supported_tasks
test_types

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

Abstract method that implements the creation of an asyncio task for the bias measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for the bias measure.

Returns:

The asyncio task for the bias measure.

Return type:

asyncio.Task

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

Abstract method that implements the bias measure.

Parameters:

• sample_list (List[Sample]) – The input data to be transformed.

• model (ModelAPI) – The model to be used for the bias measure.

Returns:

The transformed data based on the implemented bias measure.

Return type:

List[Sample]

static transform(sample_list: List[Sample], names_to_substitute: List[str], chosen_names: List[str]) → List[Sample]#

Replace names to check the religion bias

Parameters:

• sample_list (List[Sample]) – List of sentences to apply perturbation.

• names_to_substitute (List[str]) – list of names that need to be substituted.

• chosen_names (List[str]) – list of names to replace with.

Returns:

List of sentences with replaced names

Return type:

List[Sample]