This dataset contains seed supervised fine-tuning examples for ROCmPilot, a multi-agent tool that helps developers migrate PyTorch and vLLM workloads from CUDA/NVIDIA assumptions to AMD ROCm readiness.
The examples teach ROCmPilot's production-facing agent behaviors:
repo_doctor: scan repository evidence for CUDA/NVIDIA assumptions
migration_planner: identify CUDA/NVIDIA migration blockers and recommend ROCm-safe fixes
patch_planner: convert findings into scoped… See the full description on the dataset page:
https://huggingface.co/datasets/Shivam311/rocmpilot-agent-sft.