Wine Reviews with Tasting Descriptions, Price, and Country of Origin

WineEnthusiast reviews collected for a machine learning benchmark. The dataset likely contains tasting descriptions from sommeliers and features like price and country-of-origin. Authors Xingjian Shi, Jonas Mueller, Nick Erickson, Mu Li, and Alexander J. Smola published the dataset in a 2021 arXiv paper on multimodal AutoML.

Use Cases

• Classify wine variety based on sommelier tasting descriptions.
• Predict wine price or quality score using numeric and categorical features.
• Analyze relationships between country-of-origin, price, and review text.
• Benchmark multimodal AutoML methods for datasets mixing text and structured data.

Strengths

• Data originates from WineEnthusiast, a known publication in the domain.
• Designed for a published machine learning benchmark, suggesting a defined task structure.
• Includes both text (tasting notes) and structured (price, country) features.

Limitations

• Row count, column details, and file formats are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• Column-level documentation is absent; field semantics must be inferred after download.

Provenance

Source

WineEnthusiast via Kaggle, aggregated by OpenML.

Collection Method

Likely web-scraped or provided by the publisher.

Time Range

null

Freshness

Last updated date is unknown.

Geography

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