Recipe Dataset

Recipe datasets are collections of culinary information used to train and evaluate large language models (LLMs) and other AI systems for various food-related tasks. Current research focuses on improving the quality and diversity of these datasets, including developing methods for programmatic data generation to avoid privacy concerns and using multimodal models that incorporate both text and images. This work is significant because it enables advancements in automated recipe generation, ingredient substitution optimization for nutritional benefits, and improved food-related information extraction, ultimately impacting fields like computational gastronomy and personalized nutrition.