Akahsizrr/kernelstrain2

kernelstrain2 — kernelinfer Synthetic long-horizon GPU kernel-optimization trajectories, inference-only. Each row is a complete optimization session (~30–200 steps, simulating 1–5 hours of work): the model receives an inference-kernel task, emits a full CUDA or Triton candidate, and gets simulated compile / correctness / benchmark feedback — iterating, self-correcting, and tuning launch parameters until convergence. No reasoning traces; assistant turns are kernel code only.… See the full description on the dataset page: https://huggingface.co/datasets/Akahsizrr/kernelstrain2.

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