langtest.transform.sensitivity.AddToxicWords#
- class AddToxicWords#
Bases:
BaseSensitivity
A class for handling sensitivity-related phrases in the input text, specifically related to toxicity.
- alias_name#
The alias name for this sensitivity transformation.
- Type:
str
- transform(
sample_list: List[Sample], starting_context: Optional[List[str]] = None, ending_context: Optional[List[str]] = None, strategy: str = None,
- ) -> List[Sample]
Transform the input list of samples to add toxicity-related text.
- Raises:
ValueError – If an invalid context strategy is provided.
- __init__()#
Methods
__init__
()async_run
(sample_list, model, **kwargs)Creates a task to run the sensitivity measure.
run
(sample_list, model, **kwargs)Abstract method that implements the sensitivity measure.
transform
(sample_list[, starting_context, ...])Transform the input list of samples to add toxicity-related text.
Attributes
supported_tasks
test_types
- async classmethod async_run(sample_list: List[Sample], model: ModelAPI, **kwargs)#
Creates a task to run the sensitivity 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 sensitivity measure.
- Returns:
The task that runs the sensitivity measure.
- Return type:
asyncio.Task
- abstract async static run(sample_list: List[Sample], model: ModelAPI, **kwargs) List[Sample] #
Abstract method that implements the sensitivity 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 sensitivity measure.
- Returns:
The transformed data based on the implemented sensitivity 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] #
Transform the input list of samples to add toxicity-related text.
- Parameters:
sample_list (List[Sample]) – A list of samples to transform.
starting_context (Optional[List[str]]) – A list of starting context tokens.
ending_context (Optional[List[str]]) – A list of ending context tokens.
strategy (str) – The strategy for adding context. Can be ‘start’, ‘end’, or ‘combined’.
- Returns:
The transformed list of samples.
- Return type:
List[Sample]
- Raises:
ValueError – If an invalid context strategy is provided.