Financial Performance Advertising Citation Verification Dataset
#citation verification #numerical claim validation #evidence-based reasoning #financial advertising compliance #financial performance claim verification #advertising evidence assessment
- 5000
- 0.2GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-10-19
AI Analysis & Value Prop
This dataset contains synthetic financial advertising text covering returns, interest rates, savings, risk performance, and guarantee-related claims, paired with evidence excerpts that explain calculation periods, applicable conditions, limitations, or risk disclosures. Records organize claims, evidence elements, claim-to-evidence links, and an overall support verdict, enabling training and evaluation of models that verify financial advertising claims and their qualifications.
Dataset Insights
Sample Examples
{}
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| claims | array | Verifiable financial claims identified in the advertising text, including their figures, periods, and qualifications. |
| ad_text | string | Original advertising text containing claims about financial returns, interest rates, savings, risk performance, or guarantees. |
| evidence_text | string | Original calculation notes, conditions, limitations, risk disclosures, or other evidence used to support or qualify advertising claims. |
| evidence_elements | array | Figures, periods, conditions, limitations, and risk or guarantee-related statements extracted from the evidence excerpt. |
| verification_result | object | Overall conclusion on citation support, based on the claims, evidence, and their qualifications. |
| claim_evidence_links | array | Associations between each advertising claim and relevant evidence excerpts, including whether the evidence supports the figures, periods, conditions, and limitations. |
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?
- It includes synthetic ads with claims about returns, interest rates, savings, risk performance, or guarantees, along with evidence excerpts that support or limit those claims. Structured fields capture extracted claims, evidence elements, claim-to-evidence links, and an overall verification result.
- Which tasks can the data support?
- The data can support citation verification for financial ads, verifiable claim extraction, evidence matching, and checks of figures, periods, conditions, and limitations. It can also be used to evaluate whether models identify the degree and scope of evidence support.
- Is this real financial product advertising?
- The data is described as synthetic text for model training, validation, or evaluation. It is not proof of the performance of real financial products and does not constitute investment or financial advice. Preserve its synthetic status and do not present sample claims as facts about real products.
- How can I access the data, and what are the license terms?
- Access methods and specific license terms are determined by the dataset listing. Check the permitted use cases and redistribution restrictions before use; confirm that you have the required rights for commercial deployment or redistribution.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Financial Performance Advertising Citation Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/44296e7c8b2e6de295fa7fdc63bbe1fc?dataset_scene_cate_type=9},
urldate={2026-10-13},
keywords={financial advertising dataset,citation verification data,financial claim checking,ad evidence matching,synthetic financial text,advertising compliance review,fact verification training,risk disclosure detection},
version={1.0}
}Using this in research? Please cite us.
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