Patent Priority Claim Fact Verification Dataset
- Records
- 5000
- Size
- 0.4GB
- Format
- JSON
- Provider
MOBIUSI INC- Updated
- v1.02026-11-04
This dataset pairs factual claims about patent priority applications, priority dates and jurisdictions, continuation applications, and divisional relationships with evidence bundles. The evidence includes web-based bibliographic information, priority data, and application relationship records, alongside structured claim facts, support labels, evidence excerpts, and verification explanations. It supports training and evaluating models that check patent relationship statements against evidence, with applications in patent prosecution, search, and legal technology.
Overview
Dataset Insights
Preview
Sample Examples
Schema
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| claim_text | string | A factual statement to verify about patent priority, continuation, or divisional relationships. |
| claim_facts | object | Structured facts extracted from the claim, such as application numbers, dates, jurisdictions, and application relationships. |
| evidence_bundle | object | Web-based bibliographic information, priority data, and application relationship records used to verify the claim. |
| confidence_score | number | The model's confidence in the verification status, expressed as a value from 0 to 1. |
| evidence_support | boolean | Indicates whether the evidence supports the core factual relationships stated in the claim. |
| supporting_evidence | array | Text excerpts located in the evidence bundle that support or contradict factual elements of the claim. |
| verification_status | string | A classification of the degree of support between the claim and the evidence. |
| verification_explanation | string | An explanation of the verification result based on the claim facts and evidence text. |
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?
- It contains factual claims about patent priority, continuation applications, and divisional relationships, paired with evidence such as web-based bibliographic information, priority data, and application relationship records. Structured claim facts, verification labels, and evidence excerpts are also provided.
- Which tasks can this dataset support?
- It can be used to train or evaluate models that determine whether evidence supports patent relationship claims. It also supports evidence retrieval, claim fact extraction, and legal text analysis.
- How can users assess the basis for a verification result?
- Review the evidence support label, verification status, supporting evidence excerpts, and verification explanation. A confidence score from 0 to 1 is also available for filtering or analyzing model judgments.
- How can the dataset be accessed, and what are the licensing terms?
- Check the dataset product page for available access methods, file or API specifications, and licensing terms. The applicable permissions and restrictions are defined by the product listing or its associated license agreement.
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Cite this Work
@dataset{Mobiusi2026,
title={Patent Priority Claim Fact Verification Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/1d37d8ddc02aa5d90ed14d10cfbab0ef?dataset_task_cate_id=1},
urldate={2026-10-15},
keywords={patent fact verification dataset,patent priority data,priority claim verification,patent evidence verification,continuation application relationships,divisional application identification,patent natural language processing,legal artificial intelligence},
version={1.0}
}Using this in research? Please cite us.