BiasMeasures

Code for Trustworthy Social Bias Measurement (Bommasani and Liang, 2022). Sorry that this code is currently quite messy, but will be improved in the future. Direct any questions to [email protected]. To access the data, all information on sourcing is provided in the paper.

Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
aligned_estimators.py		aligned_estimators.py
automated_text_associations.py		automated_text_associations.py
convergent_validity.py		convergent_validity.py
data_loader.py		data_loader.py
face_validity.py		face_validity.py
interannotator.py		interannotator.py
our_estimator.py		our_estimator.py
our_word_list.py		our_word_list.py
overamplification.py		overamplification.py
predictive_validity.py		predictive_validity.py
preprocess.py		preprocess.py
preprocess_contextualized_representations.py		preprocess_contextualized_representations.py
primitive_operations.py		primitive_operations.py
probe.py		probe.py
sensitivity.py		sensitivity.py
train.py		train.py
unaligned_estimators.py		unaligned_estimators.py
word_list.py		word_list.py

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