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  • 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 YummlyRecipeNLG dataset contains 2.2 million recipes; see the corresponding paper

  • Epicurious Food Ingredients and Recipes Dataset with Images; 13.5K recipes

  • 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, 280K+ recipes

  • Food related datasets at data.world

  • The Rakuten dataset with about 800,000 recipes and images (Japanese); see also the paper describing this dataset

  • MIRecipe dataset consists of 239,973 instructional images for 26,725 (Chinese) recipes, including recipe name, recipe ID, brief descriptions, ingredients, seasonings, instructions (both text and image) and tips

  • Carnegie Mellon Recipe Database contains 260 annotated recipes; see also the corresponding paper which also introduces the Minimal Instruction Language for the Kitchen (MILK).

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:

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