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A package for investigating gender bias in Danish language models within the following domains:

  • Language Modeling (for pre-trained models)

  • Coreference Resolution (for coref. models)

  • Named Entity Recogntiion (for NER models)

If you want to test either a pre-trained model, a coref. model or a NER model, you can read more about each of these three types of tests in the User Guide.

Here you can also find a section on the defintions of harm, gender and bias that we adopt in the GenDa Lens package.

🤗 Note that for NER and Language Modeling, the GenDa Lens evaluator is integrated with Hugging Face.

The package is can be run on python >=3.9 due to the dependency on the newesr version of the DaCy library (2.7.0).