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kernelbook

GPUMODE /KernelBook Overview dataset_permissive{.json/.parquet} is a curated collection of pairs of pytorch programs and equivalent triton code (generated by torch inductor) which can be used to train models to translate pytorch code to triton code. The triton code was generated using PyTorch 2.5.0 so for best results during evaluation / running the triton code we recommend using that version of pytorch. Dataset Creation The dataset was created through the following process:… See the full description on the dataset page: https://huggingface.co/datasets/GPUMODE/KernelBook.tabular10K<n<100K57 likes293 downloads4mo agoHugging Facesiro1 /kernelbook-glm4-evalstabular10K<n<100K0 likes68 downloads8mo agoHugging Faceppbhatt500 /kernelbook-opus4.8-multiturn-traces KernelBook → Triton: Multi-Turn Generation Traces (Opus 4.8) Multi-turn agentic traces of Claude Opus 4.8 converting PyTorch modules into Triton GPU kernels. Each row is one problem from GPUMODE/KernelBook: the model writes a kernel, runs it on a GPU against the reference, reads the correctness + speedup feedback, and iterates — so every trace is a grounded, tool-using optimization loop, not a single-shot completion. How it was generated Model: claude-opus-4-8… See the full description on the dataset page: https://huggingface.co/datasets/ppbhatt500/kernelbook-opus4.8-multiturn-traces.tabulartext-generationn<1K2 likes42 downloads4mo agoHugging Facesiro1 /kernelbook-kimi_k2_thinking-evalstabular10K<n<100K0 likes38 downloads8mo agoHugging Facesiro1 /kernelbook-kimi_k2_thinking-evals-synthetic-promptstabular10K<n<100K0 likes34 downloads8mo agoHugging FaceNadiveedishravanreddy /KernelBook-messagestabular10K<n<100K1 likes31 downloads1y agoHugging Face