SDMN2001/recipe_difficulties

Processed Recipes Dataset

This dataset contains structured recipe information scraped from Food Network.
It was originally collected and processed to train a model for recipe difficulty prediction, but it can also be used for other tasks such as:

• Ingredient analysis
• Cooking time prediction
• Recipe recommendation systems
• Natural language processing on cooking instructions

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Dataset Structure

Columns

• title (string): Recipe title
• level (string): Difficulty level (e.g., Easy, Intermediate, Advanced)
• clean_ingredients (string): Comma-separated list of cleaned ingredients
• ingredients_count (int): Number of ingredients in the recipe
• directions_count (int): Number of steps in the recipe directions
• unique_techniques (string): Comma-separated list of unique cooking techniques detected
• equipment (string): Comma-separated list of equipment mentioned
• has_precise_timing (bool): Whether the recipe specifies precise timing (True/False)
• total_minutes (int): Total time in minutes (0 if not specified)
• active_minutes (int): Active cooking time in minutes (0 if not specified)
• prep_minutes (int): Preparation time in minutes
• cook_minutes (int): Cooking time in minutes

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Example Row

title:                100-Calorie Ham and Cheese Individual Frittatas
level:                Easy
clean_ingredients:    nonstick cooking spray, olive oil, ham steak, sliced mushrooms, ...
ingredients_count:    9
directions_count:     5
unique_techniques:    preheat, reduce, beat, come, insert, scoop, set, heat
equipment:            center, large bowl, large nonstick skillet medium
has_precise_timing:   True
total_minutes:        0
active_minutes:       0
prep_minutes:         15
cook_minutes:         45

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Intended Uses

• Primary use: Training models for recipe difficulty prediction
• Other possible uses:
  • Ingredient-based clustering
  • Cooking time estimation
  • Recipe recommendation
  • NLP tasks on cooking instructions

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Limitations

• Recipes are scraped from Food Network and may not represent all cuisines or cooking styles.
• Some time values (total_minutes, active_minutes) may be missing or set to 0 if not provided.
• Ingredient and equipment parsing may not be perfect.

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License

⚠️ Note: The dataset is derived from Food Network content. Please ensure compliance with their terms of service before using this dataset for commercial purposes.

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Citation

If you use this dataset in your research or project, please cite it as:

@dataset{processed_recipes, title = {Processed Recipes Dataset}, author = {Saadman Rahman}, year = {2025}, url = {https://huggingface.co/datasets/SDMN2001/recipe_difficulties} }