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Description
449,000+ US restaurants and 44.3M+ menu items are represented in the full Souslab dataset, from which this structured sample is derived. The sample, published openly under CC-BY-NC-4.0 by AnyStackLabsdev, contains real restaurant menu data normalized into a clean schema. The full dataset is refreshed continuously and available via a commercial API.
Use Cases
Train price prediction models based on real menu item data.
Analyze menu composition and item categorization across US restaurants.
Study restaurant chain aggregation patterns based on the continuous data refresh mentioned.
Benchmark menu data normalization and structuring techniques.
Strengths
Based on a full dataset of over 44.3 million menu items.
Data is described as normalized into a clean schema for direct analysis.
The full dataset is refreshed continuously, suggesting ongoing updates.
Limitations
Column-level documentation is absent; field semantics must be inferred after download.
The sample size and specific row count for this release are unknown.
The license for this specific sample is listed as unknown, requiring verification.
Provenance
Source
Souslab
Collection Method
Likely aggregated from restaurant sources and normalized.
Freshness
Last updated 2026-06-01 00:52:35; freshness should be verified.
Geography
United States
This sample is published under CC-BY-NC-4.0 for research and non-commercial use only.