sayurio/cookpad-scrape-recipes

Cookpad India Recipe Archive

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Overview

This repository contains a dataset scraped from cookpad.com/in, a popular community-driven recipe sharing platform. The dataset serves as an extensive archive of diverse, human-created culinary data, capturing home-cooked recipes, ingredient lists, step-by-step instructions, and related web metadata.

Purpose and Usage

This dataset is published publicly and strictly for educational, research, and archival purposes. It is an excellent resource for Natural Language Processing (NLP) researchers, data scientists, and developers looking to:

• Train or fine-tune models for procedural text generation (e.g., generating recipe steps from a list of ingredients).
• Build conversational AI or Retrieval-Augmented Generation (RAG) systems for cooking and culinary assistance.
• Perform Named Entity Recognition (NER) to extract measurements, cooking techniques, and ingredients.
• Analyze regional culinary trends, dietary preferences, and flavor profiles across India.

Dataset Details

• Source: cookpad.com/in
• Collection Method: Web scraping
• Content Type: Culinary data (including recipe titles, ingredient lists, procedural instructions, and generic web metadata).
• Repository: sayurio/cookpad-scrape-recipes

Copyright and Fair Use Disclaimer

This archive is created under the principles of Fair Use (under Section 107 of the Copyright Act) for purposes such as criticism, comment, teaching, scholarship, and research.

• No Ownership Claimed: The creator of this repository does not claim any ownership, authorship, or copyright over the original recipes, images, or user-submitted content. All rights, title, and interest in the original text remain entirely with their respective home-chef authors and Cookpad Inc.
• Non-Commercial: This dataset is provided completely free of charge and is strictly not intended for commercial gain, monetization, or profit.
• Transformative Use: The data has been aggregated, extracted from its original web formatting, and compiled specifically for computational analysis, archiving, and educational study. This represents a transformative use of the original publicly available material.

Takedown Requests: If you are a copyright holder, a recipe author, or a representative of the source website and wish for specific content to be removed from this archive, please open an issue or contact the repository owner directly. Please submit a removal request specifying the exact recipe URLs or titles you wish to have taken down so they can be accurately located within the dataset and removed.

How to Use

You can load this dataset directly into your Python environment using the Hugging Face datasets library:

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("sayurio/cookpad-scrape-recipes")

# View the structure of the first recipe entry
print(dataset['train'][0])