Patent Eligibility Case Retrieval Dataset

#legal case retrieval #precedent matching #evidence-based retrieval #patent eligibility assessment #patent case law research #intellectual property legal research

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This benchmark brings together court judgments, administrative decisions, examination opinions, and applicant responses concerning patent subject matter eligibility, alongside claim and technical-solution text. It links technical descriptions, examination objections, applicable standards, legal reasoning, and related precedent arguments to support evaluation of how well RAG systems retrieve analogous legal reasoning and authority in patent prosecution. It is suited to legal retrieval benchmarking, precedent analysis, and patent examination research.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
claim_text	string	Original text of the patent claims or proposed subject matter under evaluation.
decision_basis	array	Key facts, technical features, legal rules, and arguments supporting the final disposition.
decision_outcome	string	Final determination of patent subject matter eligibility, such as eligible, ineligible, partially eligible, or unclear.
related_precedents	array	Precedents and associated legal propositions identified from judgments, administrative decisions, or external case materials for retrieval in analogous cases.
court_judgment_text	string	Full text or excerpt of a court judgment concerning patent subject matter eligibility.
retrieval_relations	array	Retrieval links among technical-solution descriptions, examination objections, and related precedent arguments for evaluating legal reasoning retrieval in RAG systems.
source_case_metadata	object	Original identification and source information for the case, application, or document.
document_type_summary	array	Document types represented in the record, classified from the source materials.
examination_objections	array	Eligibility objections, legal grounds, and response outcomes extracted from examination opinions, administrative decisions, or related documents.
applicant_response_text	string	Original text of the applicant's response, written arguments, or amendment explanation addressing an eligibility opinion or objection.
legal_reasoning_summary	string	Summary of the eligibility reasoning chain synthesized from judgments, decisions, examination opinions, and applicant responses.
technical_solution_text	string	Original description of the applicant's technical solution, technical means, and operating method.
examination_opinion_text	string	Full text or excerpt on subject matter eligibility from an examination opinion, office action, or rejection rationale.
eligibility_issue_summary	string	Structured summary of the central issue: whether the claimed subject matter qualifies as patent-eligible subject matter.
claimed_subject_matter_type	string	Subject matter type identified from the claims and technical solution, such as a computer program, business method, mathematical method, natural phenomenon, or system with technical features.
administrative_decision_text	string	Full text or excerpt of an administrative, review, or invalidation decision concerning patent subject matter eligibility.
technical_contribution_analysis	string	Extracts and analyzes the technical contribution of the solution in relation to an abstract idea, natural phenomenon, or prior art.
applicable_eligibility_standards	array	Applicable legal standards, decision steps, or examination tests derived from the source materials.
abstract_idea_or_natural_phenomenon	boolean	Indicates whether the claimed subject matter is found or argued to involve an abstract idea, mathematical method, law of nature, or natural phenomenon.

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 covers case metadata, claims, technical solutions, court judgments, administrative decisions, examination opinions, and applicant responses related to patent subject matter eligibility. Structured information includes issues, legal reasoning, applicable standards, outcomes, and related precedents.

Which system capabilities can it evaluate?: It can support evaluation of legal document retrieval, analogous precedent matching, eligibility issue identification, and the ability to connect technical solutions and examination objections with precedent arguments. It can also serve as benchmark data for retrieval-augmented generation in patent prosecution.

Does the dataset include structured retrieval relationships?: Yes. The retrieval relations field links technical-solution descriptions and examination objections with related precedent arguments. Records also provide eligibility issue summaries, legal reasoning summaries, and decision bases to support retrieval and analysis workflows.

How can I obtain the data, and what are the licensing terms?: Refer to the product page or data provider for current access options, permitted uses, and licensing terms. Before use, review the applicable terms and confirm that use of the source legal documents and materials complies with relevant copyright, database, and regulatory requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={Patent Eligibility Case Retrieval Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/7fc2a90e5ef1fb1ce529f31379f78df5?dataset_scene_id=8},
  urldate={2026-10-15},
  keywords={patent eligibility dataset,patent case retrieval,patent subject matter eligibility,patent prosecution documents,legal RAG retrieval,precedent matching dataset,patent legal reasoning,patent examination benchmark},
  version={1.0}
}

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