|__ sim_experiments/ --> Directory with models and experiment scripts
    |__ data/ --> includes eSNLI and CoS-E data used in experiments
    |__ models/ --> includes wrappers for T5 model for multiple choice tasks
    |__ training_reports/ --> includes wrappers for T5 model for multiple choice tasks
    |__ main.py --> train task model or simulator model on SNLI or CQA
    |__ T5-2-agent_main.py --> train models for multi-agent experiments [SGD] in paper
    |__ compute_sim.py --> script for computing LAS score for model explanations
    |__ run_tasks.py --> script for running experimental conditions across seeds
    |__ *.py --> utilities for data loading, explanation sampling, etc.
    |__ causal_estimation.Rmd --> R markdown script used to calibrate simulator models and compute LAS with *k* bins
|__ alternative_objectives/ --> Directory with additional experimental scripts
    |__ code coming soon
|__ rl_experiments/ --> Directory with code for multi-agent [RL] experimental scripts
    |__ see internal README
|__ human_experiments/ --> Directory with R code for analyzing human experiment data        
    |__ ratings_analysis.Rmd --> R markdown script used to analyze human quality ratings
    |__ expert_analysis.Rmd --> R markdown script used to analyze expert simulation data
    |__ more human experiment code coming soon
|__ requirements.txt