Encapsulate MLOps Stages

[Eve-ning]

Motivation

Currently, we do have the pipeline running, however, it's tricky to debug stage by stage.
To fix this, we need to make sure that each stage can run by itself and is as independent as possible.
Then, make sure that the pipeline.sh orchestrator manages interdependencies between the stages.

To do this, we attach a run.sh natural entry point for each stage.
This wraps docker compose, which improves flexibility.

Major Changes

• Implement Lazy Dataset loading #30 Hashes datasets, so given the same dataset, with the same settings, it will use the already existing one.
• Make all stages independent to run, so we can stop a pipeline midway and continue it naturally.
• Implement Shell Model Fetching #33 Partially solves this, models will now be dynamically fetched by their modified time.
• Implement Input via .env instead of manually editing pipeline.sh #38 Implements an external .env input for a more intuitive input