datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
kern-kernels
kern-kernels
Reproducible attention kernel recipes, ABI manifests, checksums and measured
results. First profile: GB300 / Qwen3.8-27B / BF16 / Q24-KV4-D256 / page 64.
Uses unmodified TRTLLM-GEN full attention, not MLA. The model's GDN layers are
unchanged. Model weights and the base export's other kernels are not included.
NVIDIA binaries are downloaded directly from pinned upstream URLs and verified
by SHA256; this repository does not mirror them. The small Apache-2.0 vLLM KV… See the full description on the dataset page: https://huggingface.co/datasets/susun-123/kern-kernels.kernelstrain
KernelStrain
Long-horizon GPU kernel optimization trajectories for training small models to iterate on CUDA and Triton kernels.
KernelStrain is a large synthetic dataset of kernel-optimization episodes: given a kernel task (shapes, dtype, GPU target, baseline code + timing), a model proposes successive complete kernel candidates, observes simulated benchmark / correctness / compile feedback, and keeps improving over many steps — structural rewrites, parameter sweeps, joint… See the full description on the dataset page: https://huggingface.co/datasets/Akahsizrr/kernelstrain.litmus-kernels
Litmus Kernel Verification Corpus
Correct and deliberately-broken Triton kernels, each broken one shipped with
the input that exposes it.
The corpus exists to measure one thing: how much of what a fixed-shape
torch.rand() allclose test calls "correct" actually is. On this corpus the
answer is that 88% of the planted bugs pass that test.
Columns
column
meaning
name
kernel identifier
family
elementwise / reduction / softmax / layernorm / matmul /… See the full description on the dataset page: https://huggingface.co/datasets/NagaYu/litmus-kernels.kernel-syzfix-qwen35
syzfix Kernel Crash Fixes (sample)
Description
Teaches domain-specific instruction following and code generation for this expert.
Source
xiaoguangwang/syzfix-dataset - 500 MB streamed sample of 5.1 GB
Formatted for the MoE-orchestrator project
(https://github.com/michaelowusuntim6/MoE-orchestrator). Expert target:
linux_kernel.
Format
Each record is a JSON object with a messages field formatted for Qwen3.5's
native chat template:… See the full description on the dataset page: https://huggingface.co/datasets/michaelowusuntim6/kernel-syzfix-qwen35.b-sides-v2-kernels
B-Sides kernel search index
Published runtime artifacts for the B-Sides kernel corpus.
meta.sqlite: searchable kernel metadata
embeddings.f16.npy: row-aligned 256-dimensional query matrix
The kernels.row values align one-to-one with the embedding matrix rows.
Kernel-Smith-RL-2KIf this work is useful to you, please cite:
@article{DBLP:journals/corr/abs-2603-28342,
author = {He Du and
Qiming Ge and
Jiakai Hu and
Aijun Yang and
Zheng Cai and
Zixian Huang and
Sheng Yuan and
Qinxiu Cheng and
Xinchen Xie and
Yicheng Chen and
Yining Li and
Jiaxing Xie and… See the full description on the dataset page: https://huggingface.co/datasets/CoopReason/Kernel-Smith-RL-2K.Kernel-Smith-Seed-59KIf this work is useful to you, please cite:
@article{DBLP:journals/corr/abs-2603-28342,
author = {He Du and
Qiming Ge and
Jiakai Hu and
Aijun Yang and
Zheng Cai and
Zixian Huang and
Sheng Yuan and
Qinxiu Cheng and
Xinchen Xie and
Yicheng Chen and
Yining Li and
Jiaxing Xie and… See the full description on the dataset page: https://huggingface.co/datasets/CoopReason/Kernel-Smith-Seed-59K.kernel_scheduler_failure_pairs_v7