The model follows the Transformer-based sequence-to-sequence architecture with: Encoder: Converts pseudocode into embeddings and processes them using attention layers. Decoder: Generates C++ code by ...

streamlit run app.py Dataset The SPoC dataset consists of pseudocode and corresponding C++ implementations, used for training and evaluation. Model Architecture Transformer-based encoder-decoder ...