RecipeQA: A Dataset for Multimodal Comprehension of Cooking Recipes
Recipe1M+: A Dataset for Learning Cross-Modal Embeddings for Cooking Recipes and Food Images
Recipe5K: dataset for ingredients recognition with 4,826 unique recipes composed of an image and the corresponding list of ingredients. Does not include the recipe instructions, which should be retrieved from Yummly
Yummly-28K and Yummly-66K: Datasets crawled from the recipe-sharing website Yummly. Focus of the related work is on image processing.
YouCook2 is one of the largest task-oriented, instructional video dataset in the vision community
Food.com Crawled data from Food.com (GeniusKitchen) online recipe aggregator
Food related datasets at data.world
The Rakuten dataset with about 800,000 recipes and images

Representing recipes

Google provides a useful schema for representing recipes: https://developers.google.com/search/docs/data-types/recipe#recipe-properties. It includes, amongst others, the following elements:

name of the dish
cooking time, i.e. the time it takes to actually cook the dish (in ISO 8601 format)
preparation time, i.e. the time it takes to prepare ingredients and workspace for the dish
ingredients used in the recipe
recipe instructions, i.e. the steps to make the dish
yield, i.e. the quantity produced by the recipe, either the number of servings produced or a different unit (for example, number of items)

Recipe selection:

category, i.e. the type of meal or course your recipe is about, e.g., dinner, main course, dessert, snack
cuisine, i.e. the region associated with your recipe, e.g., French, Mediterranean, or American

Visual support:

Additional info:

Recipes