langtest.transform.robustness.AddContext#

class AddContext#

Bases: BaseRobustness

__init__()#

Methods

__init__()
async_run(sample_list, model, **kwargs)	Creates a task to run the robustness measure.
run(sample_list, model, **kwargs)	Abstract method that implements the robustness measure.
transform(sample_list[, starting_context, ...])	Converts input sentences using a conversion dictionary :param sample_list: List of sentences to process.

Attributes

alias_name

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

Creates a task to run the robustness measure.

Parameters:

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

• model (ModelFactory) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the robustness measure.

Returns:

The task that runs the robustness measure.

Return type:

asyncio.Task

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

Abstract method that implements the robustness measure.

Parameters:

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

• model (ModelFactory) – The model to be used for evaluation.

• **kwargs – Additional arguments to be passed to the robustness measure.

Returns:

The transformed data based on the implemented robustness measure.

Return type:

List[Sample]

static transform(sample_list: List[Sample], starting_context: List[str] | None = None, ending_context: List[str] | None = None, strategy: str | None = None) → List[Sample]#

Converts input sentences using a conversion dictionary :param sample_list: List of sentences to process. :param strategy: Config method to adjust where will context tokens added. start, end or combined. :param starting_context: list of terms (context) to input at start of sentences. :param ending_context: list of terms (context) to input at end of sentences.

Returns:

List of sentences that context added at to begging, end or both, randomly.