• /data: folder containg datasets used for benchmark tasks
• /notebooks: notebooks to run and test code written in /src
• /src: source code that will be autograded in GitHub

Unit tests will be run on code contained in /src folder. Nothing in /notebooks will be graded

1. In src/main.py, fill out the create_model function. This function should initialize and return the model that you want to use in the benchmarks.
2. Ensure that your model runs before submitting. Run python benchmark_job.py to double check that your model works.
3. Push your code to submit. The benchmarks will run in a GitHub action. You can submit as many times as you want. Your latest submission will appear on the leaderboard.
4. After a few minutes, check the leaderboard site to see your results.

From the command line in the root directory run:

1. python3.9 -m venv .venv
2. source .venv/bin/activate
3. pip install -r requirements.txt