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Food Recommendation and Dietary Dataset
Food & Beverage Consumption
Tags and Keywords
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Free
About
Exploring the diverse world of global and Indian cuisine is made accessible through this meticulously structured collection of culinary records. Curated from web sources, it provides a versatile foundation for developing recommendation algorithms and conducting detailed analysis of regional cooking trends. The data highlights unique flavours and ingredient combinations, offering a significant resource for those aiming to bridge technology and the culinary arts.
Columns
- name: The specific title of the food recipe.
- description: A short summary of the dish, often mentioning its origins and specific flavour profile.
- cuisine: The regional or cultural background of the recipe, such as Continental or Indian.
- course: The intended meal type, including options like lunch, dinner, side dishes, or snacks.
- diet: Dietary suitability, such as vegetarian, non-vegetarian, or high-protein vegetarian preferences.
- ingredients_name: A list of the items required for the dish, typically separated by commas.
- ingredients_quantity: The specific measurements and quantities for each ingredient, including detailed amounts.
- prep_time (in mins): The amount of time needed to prepare the ingredients before cooking.
- cook_time (in mins): The duration required to cook the meal.
- instructions: Detailed, step-by-step directions for preparing the recipe from start to finish.
- image_url: A direct link to a representative image of the finished dish.
Distribution
The data is primarily delivered in a CSV format titled
indian_food_recipes.csv, with a file size of approximately 18 MB. The collection contains 11 columns and features over 7,000 international recipes in its full version, with sample files like Food_Recipe.csv providing a smaller subset of 739 records. The data maintains high integrity, showing 100% validity for fields such as names and descriptions, and is expected to be updated on a monthly basis.Usage
This resource is perfectly suited for training machine learning models for food recommendation systems and culinary search engines. It can be utilised by researchers to track trends in ingredient usage or by software developers creating meal-planning and grocery-list applications. Additionally, food bloggers and culinary enthusiasts can use the structured details for inspiration and to enrich their websites with accurate cooking times and dietary labels.
Coverage
The geographic scope spans international borders with a heavy emphasis on regional Indian cuisines, including North Indian and Gujarati variations. Chronologically, the dataset was established in August 2023. It covers a wide demographic of dietary needs, including vegetarian and high-protein options, across various meal courses suitable for global tastes.
License
CC0: Public Domain
Who Can Use It
Data scientists can leverage the structured format to build and test sophisticated recommendation engines. Culinary researchers and enthusiasts can explore the nutritional and cultural diversity within the recipes. Food bloggers and professional chefs will also find value in the detailed instructions and categorised dietary information for developing high-quality content or expanding their menus.
Dataset Name Suggestions
- Archana’s Global Kitchen: International Recipe Collection
- Indian Regional Flavours and Recipe Database
- Structured Culinary Ingredients and Cooking Index
- Indian Food Recommendation and Dietary Dataset
Attributes
Original Data Source: Food Recommendation and Dietary Dataset
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