by SunixLiu
Generates typed-decision training datasets from policy documents for Jev-style models
Generates fine-tuning datasets for Jev-style decision models (choice/noul/score) from policy documents: shared states with typed questions, deterministic rule-derived gold answers, and calibrated teacher probability distributions — ready for System One / Laya-style training/fine-tuning pipelines.
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