Document Polluter
Overview
Document Polluter replaces gendered words in documents to create test data for machine learning models in order to identify bias.
Installation
document-polluter is available on PyPI
http://pypi.python.org/pypi/document-polluter
Install via pip
$ pip install document-polluter
Install via easy_install
$ easy_install document-polluter
Install from repo
git repo <https://github.com/gregology/document-polluter>
$ git clone --recursive git://github.com/gregology/document-polluter.git
$ cd document-polluter
$ python setup.py install
Basic usage
>>> from document_polluter import DocumentPolluter
>>> documents = ['she shouted', 'my son', 'the parent']
>>> dp = DocumentPolluter(documents=documents, genre='gender')
>>> print(dp.polluted_documents['female'])
['she shouted', 'my daughter', 'the mother']
Running Test
$ python document_polluter/tests.py
1 maintainer
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