What Should I Show in a Demo?
Use this as a short demo path through the published brain.
Suggested Flow
- Start at codebase-overview to establish that this is a reproduction repo, not the original exploratory workspace.
- Open prompt-system to show the source-specific extraction design.
- Open synthetic-data-generation to show how the repo creates additional structured supervision.
- Open dataset-and-config-map to show where data and training configs live.
- Open evaluation-and-decoding to connect the repository to the competition metric.
- Open missing-283-transliterations if the audience wants provenance from the original working repo.
- Close with brain-publishing to show that the wiki itself is generated from
brain/and published by Quartz/GitHub Pages.
Demo Framing
The strongest framing is that the solution is reproducible because the repo separates:
- source extraction;
- data normalization;
- synthetic data generation;
- final dataset assembly;
- model training;
- evaluation and decoding;
- provenance notes.
This makes the brain useful as a guided map rather than a replacement for the code.