langtest.transform.sensitivity.AddNegation#
- class AddNegation#
Bases:
BaseSensitivity
A class for negating sensitivity-related phrases in the input text.
This class identifies common sensitivity-related phrases such as ‘is’, ‘was’, ‘are’, and ‘were’ in the input text and replaces them with their negations to make the text less sensitive.
- alias_name#
The alias name for this sensitivity transformation.
- Type:
str
- transform(sample_list
List[Sample]) -> List[Sample]: Applies the sensitivity negation transformation to a list of samples.
- __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)Abstract method that implements the sensitivity measure.
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]) List[Sample] #
Abstract method that implements the sensitivity measure.
- Parameters:
sample_list (List[Sample]) – The input data to be transformed.
- Returns:
The transformed data based on the implemented sensitivity measure.
- Return type:
Any