Dataset · Hugging Face

GPUMODE/KernelBook

Name: KernelBook
Creator: GPUMODE
License: other
Keywords: language:en, license:other, size_categories:10K<n<100K, format:parquet, modality:tabular, modality:text, library:datasets, library:pandas, library:polars, library:mlcroissant, region:us

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.

View on Hugging FaceReport an issue

Author / organization	GPUMODE
License (as declared)	other
Downloads	337 (as reported by Hugging Face)
Likes	59
Created	14 March 2025
Last updated at source	9 June 2026

Embed this entry

<iframe src="https://silytics.si/embed/item/33feb4ef-376c-4d77-9a44-e9fbc39b7ec3" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from GPUMODE

GPUMODE/kernelbot-dataDataset
GPUMODE/backendbench_testsDataset
GPUMODE/one-layer-deeper-submissionsDataset

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.