Grounded Question Answering Dataset for Fresh Food Product Catalogs

#question answering #product attribute retrieval #evidence-grounded answer generation #fresh food e-commerce #grocery product information lookup #catalog-based shopping assistance

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-05

AI Analysis & Value Prop

This dataset contains question-answering samples based on product catalogs for fresh food and grocery delivery. It covers catalog details such as product names, brands, sizes, prices, and descriptions, linking each question and answer to supporting catalog evidence. Use it to train and evaluate retrieval-augmented generation systems that answer product questions from retrieved records and provide traceable support.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
user_question	string	The question asked about the product or its catalog information.
grounded_answer	string	An answer to the user's question based on information in the product catalog record.
supporting_evidence	array	Catalog evidence supporting the answer, identifying the relevant product field and the text that provides support.
product_catalog_record	object	The original structured product catalog entry used as the source for answering the question.

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?: Each sample includes a product catalog record, a user question, an answer based on that record, and catalog evidence supporting the answer. Catalog details may include product names, brands, sizes, prices, and descriptions.

Which tasks is the dataset designed for?: It supports product catalog question answering, retrieval-augmented generation, answer grounding, and answer traceability evaluation. It can help improve a model's ability to answer product questions using retrieved catalog records.

How can I access the dataset, and what are its size and format?: Refer to the product page for the available download method, release details, and data structure. The dataset is organized around structured samples containing catalog records, questions, answers, and evidence; check the current release information for its exact size and delivery format.

Can the dataset be used in commercial projects?: Usage rights depend on the license stated on the product page. Before commercial training, deployment, or redistribution, review the license scope and confirm that you have the necessary rights to use the catalog content and any third-party information.

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Cite this Work

@dataset{Mobiusi2026,
  title={Grounded Question Answering Dataset for Fresh Food Product Catalogs},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/97748ff9f17df896a37b00f9fe813fc8},
  urldate={2026-10-20},
  keywords={fresh food question answering dataset,product catalog QA,grounded QA data,RAG training data,grocery delivery data,retail customer support,product information retrieval,answer evidence annotation},
  version={1.0}
}

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