Patent Priority Claim Fact Verification Dataset

#fact verification #bibliographic record analysis #patent relationship verification #patent priority verification #patent family relationship analysis #intellectual property records review

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-10-19

AI Analysis & Value Prop

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.

Dataset Insights

Sample Examples

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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.

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 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},
  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}
}

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