---
license: mit
task_categories:
- text-classification
- token-classification
- question-answering
language:
- en
- hi
- bn
tags:
- food
- recipes
- cooking
- india
- web-scraped
- non-ai
pretty_name: Cookpad India Recipe Archive
size_categories:
- 100K<n<1M
---

# Cookpad India Recipe Archive


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## Overview
This repository contains a dataset scraped from [cookpad.com/in](https://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:

```python
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])
```