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Ultimate Recipe Recommendation Data
Food & Beverage Consumption
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About
A collection of high-quality, diverse recipes intended for research in natural language processing and recommendation systems. This data includes recipes that are known for being delicious, nutritious, and straightforward to prepare. The dataset is an excellent resource for exploring recipe recommendations, analysing nutritional data, and calculating cooking durations. It allows researchers to answer important questions related to recipe popularity, nutritional values, and preparation speed. This dataset is suitable for anyone, from experienced culinary experts to novice cooks.
Columns
The primary file,
recipes.csv, contains essential culinary attributes:- recipe_name: The title or designation of the meal.
- prep_time: The duration, in minutes, required for preparation.
- cook_time: The duration, in minutes, required for cooking.
- total_time: The cumulative duration of preparation and cooking time.
- servings: The quantity of portions the recipe yields.
- ingredients: A list detailing all necessary components of the recipe.
- directions: The sequential steps required for preparing and cooking the dish.
- rating: The numerical rating assigned to the recipe by users (a floating point value).
- url: The web address pointing to the original recipe source.
- cuisine_path: A classification string detailing the recipe’s culinary category or pathway.
- nutrition: Dictionary data containing detailed nutritional facts (e.g., fats, proteins, vitamins).
- timing: Dictionary data offering additional timing specifications.
- img_src: The source link for the recipe image.
Distribution
The data is typically provided in a structured format, such as CSV. The primary data file,
recipes.csv, contains 15 columns and features over 1,000 unique records. Specific counts for rows or records are available through accompanying sample files. There is also a secondary file, test_recipes.csv, included.Usage
This data product is perfectly suited for machine learning initiatives, specifically those focusing on recommendation systems. Users can develop models that recommend recipes based on factors such as dietary preferences (e.g., high protein or low fat), or time constraints, by filtering for recipes with short preparation and total cook times. It supports in-depth analysis of culinary patterns and nutritional content.
Coverage
The dataset offers a broad variety of culinary styles and preparations, covering a diverse array of recipes suitable for many types of cooking enthusiasts. While specific geographical or temporal ranges are not detailed, the focus is on providing a large selection of widely accessible and general-interest recipes.
License
CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
Who Can Use It
Intended users include:
- Researchers in NLP: For developing and testing natural language models on structured cooking instructions and ingredient lists.
- Data Scientists: Building recommendation engines for mobile applications or websites.
- Nutrition Analysts: Studying the dietary breakdown of various meals and developing health-focused recommendations.
- Developers: Creating quick meal planning tools that prioritise total time and ingredient availability.
Dataset Name Suggestions
- Ultimate Recipe Recommendation Data
- Delicious, Nutritious Recipe Collection
- NLP Recipe Dataset
- Cooking Time and Nutrition Data
- Better Recipes for a Better Life
Attributes
Original Data Source: Ultimate Recipe Recommendation Data
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