Those are format examples and test fixtures. Five to ten rows each. Not training data. You did spot a real problem though. Eight configs in `examples/configs` pointed at those fixtures as training data. Seven were still on the old schema and would not even parse. I've fixed that, added a README to the folder, and a test that parses every config so it doesn't quietly break again. Dataset size mostly depends on the task. Format or style, a few hundred examples is often enough. A task the model already half knows, usually a few thousand. New facts are often a bad fit for fine-tuning. I'd reach for RAG instead. I haven't measured how this changes with model size, so I'm not going to make up a number.