submission.md

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├── .dockerignore                   # Please specify the paths to your model checkpoints so that the large files won't be built into the docker image.
├── README.md                       # Project documentation and setup instructions
├── aicrowd.json                    # Submission meta information - like your username, track name
├── data
│   └── development.json            # Development dataset local testing
├── docs
│   └── runtime.md                  # Documentation on the runtime environment setup, dependency configs
├── Dockerfile                      # The Dockerfile that will be used to build your submission and all dependencies. The default one will work fine, but you can write your own.
├── docker_run.sh                   # This script builds your submission locally and calls `local_evaluation.py`. It can be used to debug (if your submission fails to build).
├── local_evaluation.py             # Use this to check your model evaluation flow locally
├── metrics.py                      # Scripts to calculate evaluation metrics for your model's performance
├── models
│   ├── README.md                   # Documentation specific to the implementation of model interfaces
│   ├── base_model.py               # Base model class
│   ├── dummy_model.py              # A simple or placeholder model for demonstration or testing. We also implement a simple Vicuna-7B baseline here.
│   └── user_config.py              # IMPORTANT: Configuration file to specify your model
├── parsers.py                      # Model output parser
├── requirements.txt                # Python packages to be installed for model development
├── requirements_eval.txt           # Additional Python packages to be installed for local evaluation
└── utilities
    └── _Dockerfile                 # Example Dockerfile for specifying runtime via Docker