All of human cooking compressed into 2 megabytes
arxiv.org
May 27, 2026
2 min read
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66/100
Summary
Epicure consists of three sibling skip-gram ingredient embeddings retrained on a multilingual recipe corpus. The dataset includes 4.14 million recipes sourced from 11 different platforms and covers seven languages.
Key Takeaways
- Epicure is a family of three skip-gram ingredient embeddings retrained from scratch on a multilingual recipe corpus of 4.14 million recipes from 11 sources in seven languages.
- The embeddings normalize raw ingredient strings to 1,790 canonical entries using an LLM-augmented pipeline.
- Epicure includes a 203,508-edge ingredient-ingredient NPMI graph and an 80,019-edge typed FlavorDB ingredient-compound graph.
- Three Metapath2Vec variants are developed, differing in their random-walk schemas: Cooc, Chem, and Core, each positioned on a chemistry-vs-recipe-context spectrum.
Community Sentiment
Positives
- The idea of compressing human ingredients into a simplified format could revolutionize how we understand flavor combinations, making it easier for chefs to innovate.
- The concept of using a limited set of ingredients to explore culinary possibilities is intriguing and could serve as a valuable resource for future cooking applications.
Concerns
- The claim of encompassing 'all of human cooking' is misleading, as the dataset heavily favors English and Chinese sources, neglecting significant global cuisines.
- The lack of representation from major culinary traditions like Italian and Mexican raises concerns about the dataset's comprehensiveness and applicability.
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