Fact Verification Dataset for Sublicensing, Assignment, and Change of Control
#Legal Fact Verification #Evidence Matching #Contract Clause Classification #Legal Conclusion Extraction #License Agreement Review #Distribution Agreement Analysis #Legal Due Diligence #Contract Risk Identification
- 4700
- 0.3GB
- JSON
- CATL
MOBIUSI INC
Updated:2026-11-04
AI Analysis & Value Prop
Designed for licensing and distribution agreements, this dataset covers factual assertions and verifiable legal evidence concerning sublicensing, contract assignment, delegated performance, changes of control, and consent requirements. Records can include source references and structured assessments of transferability, prior consent, applicable exceptions, and verification conclusions, making the basis for each assessment easier to trace. It supports training and evaluation of legal fact verification models, as well as research into contract review workflows.
Dataset Insights
Sample Examples
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Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| fact_domain | string | The normalized primary legal fact category identified for the record. |
| evidence_text | string | A contract clause, exhibit provision, or other verifiable legal text that supports, refutes, or qualifies the factual assertion. |
| assertion_text | string | A claim to verify about rights transfers, sublicensing, contract assignment, delegated performance, changes of control, or consent requirements. |
| consent_timing | string | The timing for obtaining consent as derived from the contract text, such as before or after the relevant action. |
| evidence_spans | array | Key excerpts from the evidence text that support or refute the assertion, with their respective roles. |
| source_reference | string | The location of the evidence in the agreement or source material, such as a file name, clause number, page, or paragraph. |
| delegation_status | string | An assessment of whether contractual obligations may be performed by an affiliate, subcontractor, or other third party, and whether consent is required. |
| legal_fact_summary | string | A concise evidence-based summary of the relevant transfer rights, consent requirements, exceptions, and their scope. |
| exception_assessment | string | An assessment of whether the evidence provides for or triggers an exception that waives consent requirements or permits a transfer or change of control. |
| exception_description | string | A concise summary of an applicable or referenced exception, such as an intra-group transfer, merger or restructuring, asset sale, or change of control exception. |
| verification_conclusion | string | A conclusion on whether the factual assertion is supported after considering the assertion and the evidence text. |
| control_change_treatment | string | A summary of whether the agreement treats a change of control as an assignment, triggers a consent requirement, or provides special treatment. |
| prior_consent_assessment | string | An assessment of whether the relevant action requires prior consent from the counterparty or another specified party. |
| transferability_assessment | string | An evidence-based assessment of whether the relevant rights or contractual interests may be transferred, sublicensed, or exercised by another party. |
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 cover?
- It focuses on sublicensing, transfers of rights or contracts, delegated performance, changes of control, and consent requirements in licensing and distribution agreements. Records provide claims to verify, evidence text, and source references, and may include exception assessments, verification conclusions, and summaries of legal facts.
- How are the evidence and assessments organized?
- Records can link an assertion to a contract clause or other legal text and provide structured assessments of transferability, prior consent, consent timing, exceptions, and delegated performance. The fields included and their completion may vary by delivered record.
- How can I obtain the dataset, and what are the licensing terms?
- Check the product page for available access methods, delivery specifications, and licensing terms. If these details are not listed, contact the provider. Contract text and source materials may be subject to separate rights or usage restrictions, so review the applicable terms before use.
- What are suitable use cases?
- The dataset can support training and evaluation of legal fact verification models, contract clause retrieval and classification, review of licensing and distribution agreements, and legal due diligence. Model outputs should be reviewed by qualified professionals in light of the complete agreement and applicable law.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={Fact Verification Dataset for Sublicensing, Assignment, and Change of Control},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/11ee2b18664d1427c5031e4dceaa05ba},
urldate={2026-10-27},
keywords={licensing agreement dataset,distribution agreement analysis,sublicensing fact verification,contract assignment assessment,change of control clauses,legal evidence text,contract consent requirements,legal AI training data},
version={1.0}
}Using this in research? Please cite us.
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