AMD AIG-Datasets is a collection of GPU-kernel generation, translation, optimization,
and ROCm-library supervision data. It contains PyTorch/CUDA-to-HIP, HIP-to-HIP,
PyTorch-to-Triton, and production-grounded rocBLAS/rocSOLVER entries, together with
metadata, samples, conversion utilities, and reproducible evaluation tools.
The repository is organized into versioned releases. New training and evaluation
workflows should use the unified-schema datasets… See the full description on the dataset page:
https://huggingface.co/datasets/amd/AIG-Datasets.
