Source: allrecipes.com · Format: json
Description
Recipes dataset extracted from allrecipes along with reviews. Last extracted on 10 Dec 2021.
Data fields
Use cases
Build personalized food and meal recommendation engines using ratings, reviews, and recipe attributes.
Identify popular cuisines, ingredients, cooking methods, and meal categories.
Analyze user feedback to understand recipe satisfaction and food preferences.
Study nutritional patterns across recipes and meal types.
Power advanced recipe filtering using ingredients, categories, cooking time, and ratings.
Train models to generate recipes, cooking instructions, and ingredient combinations.
Understand consumer behavior through ratings and review patterns.
Discover common ingredient pairings and recipe structures.
Support dietary planning and personalized meal recommendations.
Analyze large-scale culinary trends and consumer interests.
Frequently asked questions
The dataset contains more than 77,000 recipe records with associated metadata, ratings, and reviews.
Yes. Review content and rating information are included for consumer preference analysis.
Yes. Each recipe contains structured ingredient information.
Yes. Nutrition-related data is included for dietary analysis and health-focused applications.
Yes. Ratings, reviews, categories, ingredients, and recipe metadata make it suitable for recommendation engines.
Yes. It can support sentiment analysis, recipe classification, recommendation systems, food trend analysis, and recipe generation models.
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