A curated dataset of reasoning traces for training local AI orchestrator agents. Designed for SFT and RL training of Nemotron 3 Nano Omni to be the best local Hermes Agent model.

Dataset Summary

Total SFT rows: 28,000 Total RL prompts: 28,000 Format: ShareGPT (conversations column) Target model: nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 Training framework: Unsloth Studio

	Sources

Source Count… See the full description on the dataset page: https://huggingface.co/datasets/r0b0tlab/nemotron-nano-hermes-traces.