Last month I wrote about building a 1,800-page calculator site solo.
Since then the recipe hub on that site grew to 501 dishes from 127 countries — and today I'm releasing all of it as an open dataset.
Download JSON (full dataset, ~2.6 MB): https://theunitools.com/data/unitools-recipes-v1.json CSV (one dish per row): https://theunitools.com/data/unitools-recipes-v1.csv Docs + sample record: https://github.com/farcrak/unitools-recipes Dataset page: https://theunitools.com/en/data What's inside 501 home-cooking recipes, 127 countries, bilingual (English + Russian, both written by hand — no machine translation) Per-serving nutrition (calories, protein, fat, carbs) on every single dish 3,200+ steps, each annotated with minutes Ingredients with stable ids and scaling rules: meat scales linearly with servings, salt and spices are damped — the way an actual kitchen scales a recipe, not naive multiplication Human-reviewed Wikimedia Commons photos with author + licence per photo Why the scaling rules matter Most recipe datasets store "2 tbsp salt for 4 servings" and leave scaling to you.
Multiply salt linearly to 16 servings and the dish is inedible.
Each ingredient in this dataset carries a field ( | | ), so a portion calculator can be built directly on top of the data.
That's exactly how the recipe pages on the site work.
Licence CC BY-SA 4.0 — free for commercial use.
Credit "UniTools — theunitools.com" and share derivatives under the same licence.
Photos carry their own Commons licences (in the data).
Honest caveats Nutrition is computed from ingredients, not lab-measured — a planning reference, not medical data.
The dataset is maintained by one person; if you spot an error, open an issue on the repo and the fix lands in the next version.
If you build something with it — a meal planner, a viz, a model fine-tune — I'd genuinely love to hear about it in the comments.