Contract Document Package Evidence Sufficiency Dataset

#cross-document evidence reasoning #evidence sufficiency assessment #evidence gap identification #contract document review #legal evidence verification #contractual claim assessment

5000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

00Designed for purchase and sales agreement workflows, this dataset covers cross-document claims involving master agreements, attachments, order documents, and amendments. Each record identifies the documents or contractual provisions needed to assess a claim, whether the supplied materials provide sufficient support, and which critical evidence may be missing. It supports training and evaluation of verifiers that reason across multiple legal documents rather than relying on an isolated clause.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
claim_text	string	The procurement or sales contract claim to be evaluated against the supplied document package.
evidence_findings	array	Cross-document findings that connect required evidence to supporting or conflicting material in the supplied package.
required_evidence	array	The documents or contractual provisions needed to substantiate the claim.
contract_documents	array	The source documents in the contract package, including agreements, attachments, orders, and amendments.
assessment_rationale	string	A concise explanation of the sufficiency decision that accounts for cross-document dependencies and does not rely solely on an isolated clause.
evidence_sufficiency	string	Whether the supplied package contains enough evidence to support the claim.
missing_critical_evidence	array	Key documents, clauses, or facts absent from the supplied package that prevent a complete evidentiary conclusion.

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 contract materials does the dataset cover?: It focuses on purchase and sales contract packages that may include master agreements, attachments, order documents, and amendments. The examples emphasize claims that require evidence from multiple documents or provisions.

How is evidence sufficiency annotated?: For each claim, the annotations indicate whether the supplied package provides sufficient support and include required evidence, cross-document findings, missing critical evidence, and an assessment rationale.

Which training and evaluation tasks does it support?: The dataset can support training and evaluation of legal document verifiers, contract claim review systems, and cross-document evidence analysis models, including tasks involving supporting evidence, conflicting material, and evidence gaps.

How can I obtain the dataset, and what are the licensing terms?: Consult the dataset product page or provider for access options, available formats, and licensing terms. Review the applicable license before use and ensure that the intended application complies with relevant legal and organizational data-use requirements.

Can't find the data you need?

Post a request and let data providers reach out to you.

Get this Dataset

Verified for Enterprise Use

Cite this Work

@dataset{Mobiusi2026,
  title={Contract Document Package Evidence Sufficiency Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/00b61f6cb9f2dff253d4d4601ac09cdf},
  urldate={2026-10-19},
  keywords={contract evidence dataset,evidence sufficiency judgment,cross-document evidence verification,purchase agreement analysis,sales contract review,legal document data,contract verifier training,missing evidence detection},
  version={1.0}
}

Using this in research? Please cite us.

placeholder

Scene

Domain

Modality

Task