Worked Walkthrough: Build a 50-Example Starter Dataset
Build a first-pass fine-tuning dataset with stable behavior targets, edge cases, and a sane starting size.
The team wants to fine-tune a customer-escalation summarizer but has a messy pile of old tickets, inconsistent summaries, and no shared definition of the target output. Start with a stable behavior target, curate about 50 trusted demonstrations, and make edge cases visible from day one. The common trap is exporting a huge historical archive and calling it a dataset. That teaches legacy habits, hidden contradictions, and missing-boundary mistakes right back into the model. 1. Freeze the behavior target Choose one stable task: “Summarize escalations in the company’s current triage style.” If the task is still moving, retrieval or prompt work…
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