Specialty Food Preparation and Serving Guidance Document Retrieval Dataset

#Document Retrieval #Query-Document Matching #Relevance Ranking #Retrieval Evaluation #Food Knowledge Search #E-commerce Product Q&A #Food Preparation Guidance #Recipe and Pairing Search

4700
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

This dataset draws on product-use guidance from specialty food retail webpages, covering topics such as brewing, cooking, proofing, cutting, serving temperature, portion size, and pairing suggestions. Each sample links a specific user query to a relevant guidance document and includes information such as product category, preparation method and steps, serving guidance, supporting evidence, and a relevance label. It supports the development and evaluation of food-domain document retrieval systems, e-commerce product knowledge search, and food-use guidance applications.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
user_query	string	A specific question about preparing or serving a product, including brewing, cooking, proofing, cutting, serving temperature, portion size, or pairings.
product_name	string	The name of the food or beverage product identified in the guidance document.
food_category	string	The product category inferred from the document, such as coffee, tea, bread, pasta, condiments, or ready-to-eat foods.
match_rationale	string	Explains how the user query corresponds to the document in terms of product, preparation method, serving requirements, or pairing suggestions.
source_document	string	The original webpage text or main page content containing product-use guidance from a specialty food retailer.
retrieval_intent	object	The retrieval objective and key constraints inferred from the user query.
serving_guidance	object	Information extracted from the document about serving temperature, recommended portion size, and suitable serving times.
preparation_steps	array	Food preparation actions extracted from the document and arranged in execution order.
preparation_method	string	The primary preparation method identified in the document, such as brewing, cooking, proofing, baking, steaming, or cutting.
supporting_excerpt	string	A key passage from the guidance document that directly supports an answer to the user query.
pairing_suggestions	array	Foods, beverages, or seasonings recommended in the guidance document to accompany the product.
retrieval_relevance	boolean	Indicates whether the guidance document directly answers or meaningfully supports the user query.

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 does the dataset contain?: Samples are based on product-use guidance from specialty food retail webpages. They include source documents, user queries, product names and categories, preparation methods and steps, serving guidance, pairing suggestions, supporting excerpts, relevance labels, and match rationales.

Which training and evaluation tasks does it support?: The dataset can support document retrieval, query-document matching, relevance ranking, and retrieval evaluation. It is also suitable for food e-commerce knowledge search and product-use guidance question answering.

How can I access the data, and which formats are available?: Refer to the product page for the available download method, delivery details, and supported formats. The schema includes text, array, object, and boolean fields that can be incorporated into retrieval training and evaluation workflows.

What are the licensing terms and permitted uses?: Check the product page or accompanying license for permitted use, commercial rights, and redistribution restrictions. Before using the data in a production system, verify the usage rights for source webpage content and review sample quality and coverage for your application.

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Cite this Work

@dataset{Mobiusi2026,
  title={Specialty Food Preparation and Serving Guidance Document Retrieval Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e40d2916bf940d126b914e807233db04},
  urldate={2026-10-28},
  keywords={food guidance dataset,food document retrieval,product instruction search,food question answering data,food preparation guide,query-document matching,e-commerce knowledge retrieval,food pairing suggestions},
  version={1.0}
}

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