jomarie04/Filipino_Recipes_Dataset

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license: apache-2.0 task_categories: - text-classification - data-analysis language: - tl - en pretty_name: Filipino Recipes Dataset size_categories: - 1K<n<10K

🍲 Filipino Recipes Dataset

Dataset Description

The Filipino Recipes Dataset is a structured collection of popular Filipino dishes.
It contains recipe names, main ingredients, cooking methods, preparation time, and meal categories.

This dataset is designed for machine learning projects, food recommendation systems, and culinary research.

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📌 Dataset Details

File Format: CSV
File Name: filipino_recipes.csv
Total Columns: 7

Column Information

Column Name	Description
recipe_name	Name of the dish
main_ingredient	Primary ingredient used
cooking_method	Fry, boil, grill, etc.
prep_time_minutes	Estimated preparation time
difficulty	Easy, Medium, Hard
meal_type	Breakfast, Lunch, Dinner, Snack
region_origin	Region in the Philippines

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📊 Sample Data

recipe_name	main_ingredient	cooking_method	prep_time_minutes	difficulty	meal_type	region_origin
Adobo	Chicken	Stew	45	Easy	Dinner	Luzon
Sinigang	Pork	Boil	60	Medium	Lunch	Luzon
Lechon Kawali	Pork	Fry	70	Hard	Dinner	Visayas
Pancit Canton	Noodles	Stir-fry	30	Easy	Lunch	Nationwide
Laing	Taro Leaves	Stew	50	Medium	Dinner	Bicol

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🎯 Possible Use Cases

This dataset can be used for:

• Recipe recommendation systems
• Filipino cuisine analytics
• Meal planning applications
• Cooking difficulty prediction
• Food culture research
• NLP tasks related to food text

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🛠 How to Use

Example usage in Python:

import pandas as pd

df = pd.read_csv("filipino_recipes.csv")
print(df.sample(5))