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examples/pbe/transduction/knowledge_graph/README.md
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+# How to reproduce the experiment?
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+First you need a database that supports SPARQL queries.
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+Once you have that, you can generate the database using the ``fill_knowledge_graph.sparql``.
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+Then you need to execute ``convert_kg_json_tasks.py`` to convert ``constants.json`` to ``constants.pickle`` (supported by AutoSynth).
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+Then you need to preprocess the tasks with ``preprocess_tasks.py`` which will guess the constants.
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+Then you can use the ``constants.pickle`` file in ``evaluate.py`` with your model.
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+In our paper the model was the one obtained through the scrip ``test_performance.sh`` in experiments.
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