Test Cases for Causal Model, MQNLI Intro Notebook #131
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….py and introduced tests for causal model code;, updated DAS main introduction to match new causal model schematic; created notebook for MQNLI dataset exploring DAS on a nested heirarchical causal structure
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Mar 15, 2024
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Mar 16, 2024
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Created tests for causal model data generation, and patched bugs in the counterfactual data generation method. Created MQNLI notebook to introduce DAS for a nested hierarchical causal model.
Description
Created files:
/tests/unit_tests/CausalModelTestCase.py- testing forcausal_model.py.tutorials/advanced_tutorials/MQNLI.ipynb- notebook working through the MQNLI dataset introduced in Geiger, Cases, Karttunen, Potts (2019).cont_signature.json,empty_signature.json,neg_cont_signature.json,neg_signature.json,q_projectivity.json- helper files for the MQNLI notebook.Edited files:
data_generators/causal_model.py- fixed minor bugs in factual and counterfactual data generation functions.tutorials/advanced_tutorials/DAS_Main_Introduction.ipynb- updated to follow new structure incausal_model.py(only other file in repo that is currently usingcausal_model.py).Testing Done
Introduced test cases for
causal_model.py, ran MQNLI and DAS Introduction notebooks successfully.