| dataset_info: | |
| features: | |
| - name: code | |
| dtype: string | |
| - name: level | |
| dtype: int64 | |
| - name: name | |
| dtype: string | |
| - name: problem_id | |
| dtype: int64 | |
| splits: | |
| - name: level_1 | |
| num_bytes: 133215 | |
| num_examples: 100 | |
| - name: level_2 | |
| num_bytes: 114519 | |
| num_examples: 100 | |
| - name: level_3 | |
| num_bytes: 177082 | |
| num_examples: 50 | |
| - name: level_4 | |
| num_bytes: 15591 | |
| num_examples: 20 | |
| download_size: 115926 | |
| dataset_size: 440407 | |
| configs: | |
| - config_name: default | |
| data_files: | |
| - split: level_1 | |
| path: data/level_1-* | |
| - split: level_2 | |
| path: data/level_2-* | |
| - split: level_3 | |
| path: data/level_3-* | |
| - split: level_4 | |
| path: data/level_4-* | |
| # KernelBench | |
| A benchmark designed to evaluate the ability of LLMs to generate efficient GPU kernels for optimizing neural network performance | |
| ## Version | |
| [07-21-2025] This HF dataset version has been updated to v0.1 | |
| ## Citation | |
| ```bibtex | |
| @misc{ouyang2024kernelbench, | |
| title={KernelBench: Can LLMs Write GPU Kernels?}, | |
| author={Anne Ouyang and Simon Guo and Azalia Mirhoseini}, | |
| year={2024}, | |
| url={https://scalingintelligence.stanford.edu/blogs/kernelbench/}, | |
| } | |
| ``` | |