Encyclopedia Evalica / Datasets / Golden dataset
Golden dataset
/'goh.lduhn 'day.tuh.seht/A curated, high-quality evaldataset that serves as the canonical benchmark for a team's use case. It represents critical functionality and known failure modes. (noun)
Why it matters
A golden dataset is your ground truth for evals. It defines what good looks like for your specific use case, and every experiment you run is compared against it. Building one well matters more than building one with a large amount of data. Start with a focused set of representative inputs and carefully validated expected outputs, covering your core use cases and known edge cases. If your golden dataset reflects the queries and patterns from three months ago but your production traffic has shifted, your evals will give you false confidence. Treat your golden dataset as a living artifact that you update regularly by pulling interesting traces from production, reviewing them, and adding the validated examples back into the dataset. This creates a direct connection between what you observe in production and what you test against in development. Teams that maintain this loop catch regressions faster and have higher confidence in their eval results because the dataset actually represents the real world.
“We treat the golden dataset like a regression suite for the AI assistant.”
Customer example
Coursera curates golden datasets and runs both offline suites and online monitoring so quality stays consistent while they ship quickly. Read more
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From the docs
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