Datasets:
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---
datasets:
- processed_recipes
language:
- en
tags:
- recipes
- cooking
- food
- difficulty-prediction
- nlp
license: other
task_categories:
- text-classification
- text-retrieval
- other
pretty_name: Processed Recipes Dataset
size_categories:
- 10K<n<100K
---
# Processed Recipes Dataset
## Dataset Description
- **Source**: Scraped from [Food Network](https://www.foodnetwork.com/)
- **Processed by**: Cleaned and parsed for use in recipe difficulty prediction
- **Format**: Parquet (`.parquet`)
- **Size**: 1 file (`processed_recipes.parquet`)
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
---
## 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
---
### Example Row
```text
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
```
---
## 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
---
## 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.
---
## 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.
---
## 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}
}
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