Datasets:
metadata
license: mit
task_categories:
- image-to-text
- text-generation
language:
- en
tags:
- recipes
- food
- multimodal
- rag
size_categories:
- 10K<n<100K
Recipe PDF Dataset
A multimodal dataset of 10K+ recipes rendered as PDF images with full metadata.
Dataset Description
Each sample contains:
- image: Recipe rendered as a styled PDF page (PNG, ~1654x2339px)
- name: Recipe title
- description: Recipe description
- ingredients: List of ingredients
- steps: Cooking instructions
- nutrition: Nutritional values (calories, fat%, sugar%, sodium%, protein%, sat.fat%, carbs%)
- random_reviews: User reviews
- minutes: Cooking time
- tags: Recipe categories
- n_steps / n_ingredients: Counts
Usage
from datasets import load_dataset
dataset = load_dataset("your-username/recipe-pdf-dataset")
sample = dataset["train"][0]
# Access image
sample["image"].show()
# Access metadata
print(sample["name"])
print(sample["ingredients"])
Source
Generated from Food.com Recipes using custom PDF rendering with varied layouts, fonts, and color palettes.
Stats
| Split | Samples |
|---|---|
| train | 10,096 |