Starter code for robustqa track

• Download datasets from here
• Setup environment with conda env create -f environment.yml
• Train a baseline MTL system with python train.py --do-train --eval-every 2000 --run-name baseline
• Evaluate the system on test set with python train.py --do-eval --sub-file mtl_submission.csv --save-dir save/baseline-01
• Upload the csv file in save/baseline-01 to the test leaderboard. For the validation leaderboard, run python train.py --do-eval --sub-file mtl_submission_val.csv --save-dir save/baseline-01 --eval-dir datasets/oodomain_val