ByteDance-Seed/cudaLLM-data
CudaLLM Dataset A high-quality dataset of PyTorch operator test cases, designed to benchmark and evaluate the capabilities of LLMs in generating optimized CUDA kernels. This dataset provides pairs of problems (standard PyTorch nn.Module implementations) and solutions (performance-optimized versions using custom CUDA kernels). It's a valuable resource for research in AI for HPC, code generation, and compiler optimization. The data is generated by DeepSeek R1, DeepSeel Coder-7B… See the full description on the dataset page: https://huggingface.co/datasets/ByteDance-Seed/cudaLLM-data.
| Author / organization | ByteDance-Seed |
|---|---|
| License (as declared) | apache-2.0 |
| Downloads | 207 (as reported by Hugging Face) |
| Likes | 15 |
| Created | 3 August 2025 |
| Last updated at source | 3 August 2025 |
Recent changes
- 16 Oct 2026 Description: CudaLLM Dataset A high-quality dataset of PyTorch operator test cases, designed to benchmark and evaluate the capabilities of LLMs in generating optimized CUDA kernels. This dataset provides pairs of problems (standard PyTorch nn.Module imp → CudaLLM Dataset A high-quality dataset of PyTorch operator test cases, designed to benchmark and evaluate the capabilities of LLMs in generating optimized CUDA kernels. This dataset provides pairs of problems (standard PyTorch nn.Module imp
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