Luxury Hotel Dining Catalog Attribute Extraction Dataset

#attribute extraction #named entity recognition #structured data extraction #luxury hotel dining services #hotel restaurant catalog management #dining experience discovery

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

This dataset contains natural-language descriptions of luxury hotel restaurants, bars, and dining experiences, organized into structured attributes such as venue name, venue type, service periods, service formats, cuisines, and dietary restrictions or accommodations. Its catalog coverage includes information such as breakfast, lunch, dinner, and all-day service, as well as dine-in, room service, buffet, and afternoon tea; the actual records depend on the dataset contents. It is suitable for structured-output supervised fine-tuning, dining catalog organization, hotel product information retrieval, and attribute extraction evaluation.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
cuisines	array	Cuisines or primary culinary styles mentioned in the description.
venue_name	string	Name of the restaurant, bar, or dining experience extracted from the source description.
venue_type	string	Primary category of the dining catalog entry, such as a restaurant, bar, or dining experience.
service_formats	array	Dining service formats, such as dine-in, room service, buffet, or afternoon tea.
service_periods	array	Periods when the venue or experience provides service, such as breakfast, lunch, dinner, or all-day service.
source_description	string	Natural-language description of a dining venue or experience, provided as the input for attribute extraction.
dietary_restrictions	array	Dietary restrictions or accommodations mentioned in the description, such as vegetarian, vegan, gluten-free, or halal options.

Compliance Statement

Authorization Type	Proprietary - Commercial AI Training License (No Redistribution)
Commercial Use	Requires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and Anonymization	No PII, no real company names, simulated scenarios follow industry standards
Compliance System	Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

Frequently Asked Questions

What dining information does the dataset contain?: Natural-language descriptions of luxury hotel restaurants, bars, and dining experiences are paired with attributes such as venue name, venue type, service periods, service formats, cuisines, and dietary restrictions or accommodations. The actual records and field contents depend on the dataset files.

Which model tasks is the dataset suitable for?: It can support structured-output supervised fine-tuning to extract catalog attributes from dining descriptions. It can also be used to organize hotel dining catalogs, improve information retrieval, and evaluate attribute extraction performance.

How can I check the data format and quality?: The schema separates source descriptions from their corresponding attributes, making it easier to construct model inputs and structured targets. Before use, review the samples, field definitions, missing-value patterns, and delivery format, then validate them against your project requirements.

How can I obtain the data, and what are the licensing terms?: Check the dataset product page or the provider's designated channel for samples, delivery specifications, and access options. Licensing scope, commercial-use permissions, and redistribution restrictions are governed by the terms for this specific dataset product.

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Cite this Work

@dataset{Mobiusi2026,
  title={Luxury Hotel Dining Catalog Attribute Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/ef5bf55d627576acef396d7d898fb5f9?dataset_task_cate_id=9},
  urldate={2026-10-10},
  keywords={luxury hotel dining data, hotel restaurant catalog, dining attribute extraction, hotel dining dataset, cuisine identification, dietary restriction detection, structured output SFT, dining catalog data},
  version={1.0}
}

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