Create and start a new virtual environment:

conda create -n CFR python=3.10.9 anaconda
conda activate CFR

Download and pre-process the data before running the experiments.

• EEEC+: data and pre-processing in "./datasets/EEEC/EEEC_3race"
• BiasInBios: data and pre-processing in "./datasets/biasbios"
• CEBaB:
  • data: https://cebabing.github.io/CEBaB/
  • pre-processing in "./datasets/CEBaB-v1.1"
• GloVe :
  • data:
    • https://nlp.biu.ac.il/~ravfogs/rlace/glove/glove-gender-data.pickle (GloVe embeddings with gender-bias labels)
    • https://nlp.biu.ac.il/~ravfogs/rlace/glove/glove-top-50k.pickle (150k GloVe embeddings)

Run the notebooks:

• CFRs_EEECp_gender_balanced.ipynb
• CFRs_EEECp_gender_aggressive.ipynb
• CFRs_EEECp_race_balanced.ipynb
• CFRs_EEECp_race_aggressive.ipynb

Run the notebook:

• CFRs_biasbios.ipynb

Run:

• CFRs_CEBaB_compare_methods.ipynb

Run the notebook:

• CFRs_GloVe.ipynb