Make the tutorial runnable end-to-end: sample data, CLI, tests, and Docker #3
Description
Concrete steps to improve usability:
Tasks
- Include a small sample dataset and a script to generate it.
- Add a CLI (argparse/typer) with clear arguments and defaults.
- Provide pytest unit tests for the dedupe logic; add CI to run tests.
- Add a Dockerfile (and optional compose) to run the pipeline in isolation.
- Expand README with a quickstart showing end-to-end execution.
Benefits
- Anyone can clone and run the example with confidence.