langtest.transform.robustness.ConvertAccent#
- class ConvertAccent#
Bases:
BaseRobustness
A class for converting accents in text samples.
- __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[, prob, accent_map])Converts accents in the input sentences using a conversion dictionary.
Attributes
alias_name
supported_tasks
test_types
- async classmethod async_run(sample_list: List[Sample], model: ModelAPI, **kwargs)#
Creates a task to run the robustness measure.
- Parameters:
sample_list (List[Sample]) – The input data to be transformed.
model (ModelAPI) – 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: ModelAPI, **kwargs) List[Sample] #
Abstract method that implements the robustness measure.
- Parameters:
sample_list (List[Sample]) – The input data to be transformed.
model (ModelAPI) – 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], prob: float | None = 1.0, accent_map: Dict[str, str] | None = None) List[Sample] #
Converts accents in the input sentences using a conversion dictionary.
- Parameters:
sample_list (List[Sample]) – A list of samples to be transformed.
prob (Optional[float]) – The probability of applying accent conversion to each sample. Defaults to 1.0, which means all samples will have accents converted.
accent_map (Dict[str, str]) – A dictionary with conversion terms mapping source accents to target accents.
- Returns:
The transformed sample list with accents converted.
- Return type:
List[Sample]