This dataset is further processed from one of the most popular datasets in food computing, so called Yummly-66K.
This dataset consists of 66,615 recipe items from Yummly, namely Yummly_66K. Each recipe item includes the recipe name, preprocessed ingredient line, recipe image, cuisine and course attribute information, and so on. There are totally 10 kinds of cuisines, 14 kinds of courses and 2,416 ingredients in our dataset.
This dataset can be downloaded here at huggingface hub
See how I processed the dataset: process.ipynb
@Article{Min-YAWYE-TMM2018,
author = {W. Min and B. K. Bao and S. Mei and Y. Zhu and Y. Rui and S. Jiang},
title = {You are what you eat: Exploring rich recipe information for cross-region food analysis},
journal = {IEEE Transactions on Multimedia},
year = {2018},
volume = {20},
number = {4},
pages = {950-964}
}