A Ground Truth eXplanation Dataset
Project description
Ground Truth eXplanation Dataset
- Please run the
setup.sh
file to downlad the datasets. - Please run
conda env create --name hddds --file environment.yml
to install the necessary packages. - Please find the notebook
example.ipynb
for the sample access to our dataset and potential use of dataloaders. - Please find the code for experiments in
hddds.py
(which is going to be slow). The detailed code is consist of three parts, and separated in three files:
experiments/train.py
: training the predictive models;experiments/get_explanations.py
: generating the explanations using different feature atrribution methods;experiments/summary.py
: evaluating the performance of the explanations against ground truth.
PS: If you ever wonder why there are so many 'd's in hddds
, it is pinyin for Hao Da De DataSet
(very large dataset) :)
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