Dataset Hypothesis Generator

Suggests what to look for in a dataset before you dig in.

Updated Jun 14, 2026

Why it works: Naming the decision upfront (not just the dataset) forces every question to be ranked by what actually matters, and calling out specific traps like Simpson's paradox by name gets sharper warnings than a generic 'watch for bias.'

💡 The original prompt — works in any model. Start here, then tune per model.

Fill in the blanks — your answers carry across every model

Dataset Descriptione.g. e-commerce customer purchase history 2022-2023 · hospital patient recovery times after surgeryDecisione.g. launch a new marketing campaign · adjust pricing strategy for product X

fill the blanks above ↑

🔀 Remix this prompt — make it yoursremixes credit the lineage & grow your garden

← NeLocker vault

Dataset Hypothesis Generator

Suggests what to look for in a dataset before you dig in.

Updated Jun 14, 2026

💡 The original prompt — works in any model. Start here, then tune per model.

Fill in the blanks — your answers carry across every model

fill the blanks above ↑

🔀 Remix this prompt — make it yoursremixes credit the lineage & grow your garden