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Google Research·· 2026-04-16

Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles

Designing synthetic datasets for the real world: Mechanism design and reasoning from first principles

AI summary

Google proposed Simula, a reasoning-first synthetic data framework reframing dataset construction as mechanism design. It builds datasets from scratch without seed data through global diversification, local diversification, complexification and dual-critic quality checks.

Selection record

Not admittedSum of both 94 < twice the threshold 120

Source tier
Official, first-hand; this tier's threshold is 60
Pre-filter
passed:Google研究合成数据生成框架,属AI技术

A model scores each item twice, independently, against one written standard, out of 100. An item is admitted only when the two scores add up to twice the threshold. The threshold is set per source tier.

Source: Google Research · research.google