Grounded Question Answering Dataset for Fresh Food Product Catalogs
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-05
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.
Overview
Dataset Insights
Preview
Sample Examples
Schema
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. |
Trust
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
FAQ
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?dataset_scene_id=9},
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}
}Using this in research? Please cite us.