mirrorGen is an open source tool to generate synthetic data based on a correlation DAG, which describes the relation among the columns in the data. It can be used to produce "dirty" data, mirroring various bias in real life, for different applications, such as classifications and rankings 1.
Python 3: Install Tutorial
Step 1 Download MirrorDataGenerator.
Step 2 Unzip the downloaded source file and initiate the python environment.
cd MirrorDataGenerator # go to the MirrorDataGenerator repository that is just downloaded
python -m venv venv
source venv/bin/activate # activate the environment for MirrorDataGenerator
pip install -r requirements.txtWe prepared a demo notebook to showcase Mirror Data Generator.
TBD.
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