The Notebook “TextualEntailment.ipynb” contain code to create the formatted entailment datasets for training the entailment model.
Files “mnli_pre_training.py” and “mnli_finetune.py” contain the models and training code for training and fine-tuning the entailment model.
The Notebook “Baseline_Reduced_Classifiers.ipynb” contain code to create the datasets and train the baseline and reduced classifiers. It also contains code to create the final submission prediction files.