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Rejection-sampling data gen for the router: run anonymized ToolOrchestra rollouts over a task pool, verify correctness (judge with backoff, math normalization, essay/code gates), and keep only correct, well-formed, actually-routing trajectories. Includes the clean-gate that strips self-answering and control-token garble, cost-aware reward, dataset loaders, unified trajectory serialization, and naming (single source of truth for dataset names). ~76% of rollouts are dropped by design.