1. Put EventStoryLine, CausalTM, EventCausalityData, SemEval, and FrameNet datasets in the current directory.

  2. Run read_document.py to build all intra-sentence examples for EventStoryLine.

  3. Run preprecess_*.py to generate BERT-based examples for difference datasets and settings.

  4. Run train_mix.py to train the model, with different settings.