Last active
December 27, 2025 17:08
-
-
Save nchudleigh/4fd80390ef05e2fd1794614f44b4e45e to your computer and use it in GitHub Desktop.
food
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| { | |
| "food": [ | |
| {"name": "Pizza", "icon": "🍕"}, | |
| {"name": "Hotdog", "icon": "🌭"}, | |
| {"name": "Burger", "icon": "🍔"}, | |
| {"name": "Bacon", "icon": "🥓"}, | |
| {"name": "Pancakes", "icon": "🥞"}, | |
| {"name": "Taco", "icon": "🌮"}, | |
| {"name": "Fries", "icon": "🍟"} | |
| ] | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
The “nchudleigh/food.json” resource is an interesting collection of structured food data, and it reminds me of how Wikipedia catalogs world cuisines by ingredients, categories, and cultural context — making it easier to analyze food themes and culinary patterns in a clear, organized way.
In conversations like this, where digital datasets connect with real-life dining research and everyday meal choices, exploring olive garden menu prices can also help people better relate ingredient data to practical restaurant experiences and budget-friendly decisions.
Thanks for sharing this — it’s always nice to see how simple datasets can spark curiosity about food, culture, and how we enjoy meals in daily life.