License Fee and Audit Clause Retrieval Dataset

#legal document retrieval #licensing term retrieval #clause-level evidence identification #licensing agreement review #royalty and audit rights analysis #legal evidence retrieval

Records: 5000
Size: 0.5GB
Format: JSON
Provider: MOBIUSI INC
Updated: v1.02026-11-05

AI Analysis & Value Prop

This dataset focuses on payment and accounting provisions in licensing agreements, including royalties, minimum guarantees, advances, settlement cycles, sales reports, audit rights, tax obligations, and late payments. It pairs natural-language queries with candidate contract evidence and provides clause categories, normalized terms, obligation lists, key quotations, retrieval answers, audit-right labels, and extraction confidence to support the evaluation and improvement of legal RAG systems.

Overview

Dataset Insights

Preview

Sample Examples

sample.json

{}

Schema

Technical Specifications

Field	Type	Description
file_name	string	File name
query_text	string	A natural-language query about payment obligations, accounting duties, or audit rights in a licensing agreement.
obligations	array	Specific contractual obligations derived from the evidence excerpt for citation by a retrieval-augmented generation system.
evidence_quote	string	A direct quotation from the contract that answers the query, preserving key details such as amounts, rates, deadlines, parties, and conditions where available.
clause_category	string	The primary clause category inferred from the retrieval query and evidence content.
has_audit_right	boolean	Indicates whether the evidence excerpt grants the licensor or another rights holder the right to audit books, records, or sales data.
contract_excerpt	string	An original excerpt from a licensing agreement that may contain evidence relevant to payment or accounting obligations.
normalized_terms	object	Payment and accounting terms extracted from the evidence excerpt and organized into a consistent structure.
retrieval_answer	string	A concise response to the query based on the contract evidence, identifying the relevant payment or accounting obligations.
extraction_confidence	number	Overall confidence in the extracted clause category, normalized information, and obligation list, on a scale from 0 to 1.

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

Which licensing provisions does the dataset cover?: It focuses on payment and accounting topics such as royalties, minimum guarantees, advances, settlement cycles, sales reports, audit rights, tax obligations, and late payments, paired with relevant queries and contract evidence excerpts.

What retrieval and annotation information is included?: Records can include a query, candidate contract evidence, clause category, normalized terms, an obligation list, a key evidence quotation, a retrieval answer, an audit-right label, and extraction confidence. Refer to the dataset documentation for the exact schema.

Which model development tasks can it support?: It can support licensing agreement RAG retrieval, evidence localization, payment and accounting obligation extraction, contract question answering, and related retrieval or answer-quality evaluation. Results depend on the model, indexing approach, and evaluation setup.

How can I obtain the data and confirm its usage rights?: Check the dataset product page or the provider's agreement for access methods, delivery format, and permitted uses. Before production, commercial deployment, or redistribution, confirm the applicable rights for contract text and annotations and follow relevant privacy and legal requirements.

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Cite this Work

@dataset{Mobiusi2026,
  title={License Fee and Audit Clause Retrieval Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/27738e1914c638fe3896cbfdf537ce41?dataset_task_cate_id=10},
  urldate={2026-10-15},
  keywords={licensing agreement dataset,license fee clause retrieval,royalty clause data,contract audit rights,legal document RAG,contract evidence localization,payment obligation extraction,licensing agreement QA},
  version={1.0}
}

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