Food Nutrition Information Claim Verification Dataset

#fact verification #evidence-based reasoning #nutrition claim classification #food nutrition claim verification #nutritional information assessment #food product compliance
  • 5000
  • 0.3GB
  • JSON
  • CATL
  • MOBIUSI INCMOBIUSI INC
Updated:2026-10-19

AI Analysis & Value Prop

This dataset pairs claims about food product nutrition with corresponding grocery and fresh food delivery catalog records. It covers nutrient names, amounts per serving, and nutrition label information, including cases involving matching values, unit differences, and missing catalog details. Structured fields capture the claim, catalog evidence, comparison results, verdict, and rationale, making the data suitable for training and evaluating fact verification models and for research on automated nutrition claim checking.

Dataset Insights

Sample Examples

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Technical Specifications

FieldTypeDescription
file_namestringFile name
verdictstringIndicates whether the product catalog record supports the claim.
rationalestringBriefly explains the catalog evidence, amount and unit comparison, and reasoning behind the verification verdict.
claim_textstringThe original claim to be verified, concerning product nutrients, amounts per serving, or nutrition label information.
claim_unitstringThe unit and applicable serving-size expression associated with the claimed amount.
amount_matchbooleanIndicates whether the claimed and catalog amounts agree when their units and serving bases are comparable; left unpopulated when they cannot be compared.
catalog_unitstringThe unit and applicable serving-size expression associated with the catalog amount; left unpopulated when the catalog does not provide it.
claim_amountnumberThe amount extracted from the claim; populated only when the claim specifies a numerical value.
unit_relationstringIndicates whether the claim and catalog units are the same, convertible, incompatible, or not comparable because catalog information is missing.
catalog_amountnumberThe corresponding nutrient amount extracted from the product catalog record; left unpopulated when the catalog does not provide it.
claim_nutrientstringThe name of the nutrient extracted from the claim.
product_catalog_recordobjectThe grocery and fresh food delivery catalog record used to verify the claim, retaining the available product and nutrition information.

Compliance Statement

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

Frequently Asked Questions

What nutrition claims does the dataset cover?
The dataset includes claims about product nutrients, amounts per serving, and nutrition label information, paired with grocery and fresh food delivery catalog records for verification. The information available for checking depends on the content of each catalog record.
How are differences in units or serving sizes handled?
Fields capture the claimed and catalog amounts and units, along with their unit relationship. When the units and serving bases can be compared, the record indicates whether the amounts match; relevant fields also help identify cases that cannot be compared or lack catalog information.
What is the data structure, and what tasks is it suitable for?
Each example uses structured fields for the claim text, product catalog record, extracted nutrition details, verification verdict, and rationale. The data can support fact verification training and evaluation, nutrition claim review, and product catalog quality analysis.
How can the dataset be obtained, and what usage restrictions apply?
Check the dataset listing or the provider's distribution channel for available formats and access details, and review the applicable license and terms before use. For commercial deployment, redistribution, or downstream uses involving product information, follow those terms and independently assess the freshness and completeness of catalog data.

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Cite this Work

@dataset{Mobiusi2026,
  title={Food Nutrition Information Claim Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/ac81c40645bf1e17fc9e5d0c310b09a1},
  urldate={2026-10-12},
  keywords={food nutrition dataset, nutrition claim verification, product catalog data, food fact checking, nutrient matching, grocery delivery data, claim verification training},
  version={1.0}
}

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