langtest.transform.bias.CountryEconomicBias#

class CountryEconomicBias#

Bases: BaseBias

Class for economical biases on countries

__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, ...)

Replace country names to check the ethnicity bias

Attributes

alias_name

supported_tasks

test_types

class TestConfig#

Bases: dict

clear() → None.  Remove all items from D.#
copy() → a shallow copy of D#
fromkeys(value=None, /)#

Create a new dictionary with keys from iterable and values set to value.

get(key, default=None, /)#

Return the value for key if key is in the dictionary, else default.

items() → a set-like object providing a view on D's items#
keys() → a set-like object providing a view on D's keys#
pop(k[, d]) → v, remove specified key and return the corresponding value.#

If the key is not found, return the default if given; otherwise, raise a KeyError.

popitem()#

Remove and return a (key, value) pair as a 2-tuple.

Pairs are returned in LIFO (last-in, first-out) order. Raises KeyError if the dict is empty.

setdefault(key, default=None, /)#

Insert key with a value of default if key is not in the dictionary.

Return the value for key if key is in the dictionary, else default.

update([E, ]**F) → None.  Update D from dict/iterable E and F.#

If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]

values() → an object providing a view on D's values#
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], country_names_to_substitute: List[str], chosen_country_names: List[str], *args, **kwargs) → List[Sample]#

Replace country names to check the ethnicity bias

Parameters:

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

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

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

Returns:

List of sentences with replaced names

Return type:

List[Sample]