1. Download the dataset
2. Set CDPSYNT_PROJECT_DIR env var to this directory path
3. Set CDPSYNT_DATA_DIR env var to downloaded dataset path
4. Install requirements with pip install -r requirements.txt
5. Configure config/general.yaml to your needs or create another config
   1. You can also pass the configuration params to the script python scripts/main.py ... dataset.device=iPXS
6. Run python scripts/main.py --config-name general or with other --config-name
7. The checkpoints will be saved in the outputs directory inside CDPSYNT_DATA_DIR directory
8. After training is done run the same script with --mode test to test the model
9. The testing results will be saved in the outputs directory inside CDPSYNT_DATA_DIR as CSV