Nemo Gym Pivot Datasets

Paper Reference

This skill operationalizes PivotRL: create local single-step pivot datasets from successful trajectories, prefer informative mixed-reward states, and train with verifier-based local rewards rather than exact trajectory imitation.

Invocation Check

Use this skill when the task is to turn existing agent trajectories or rollout artifacts into a Nemo Gym pivot dataset, or to validate whether a pivot JSONL/config pair can be used for single-step local RL or evaluation.

Before writing a converter, inspect representative source rows and the target resource server. Do not assume the source field names are the contract. Convert by reconstructing the semantic pieces needed by Gym's Responses-style row format.

Core Workflow