Domestic Arbitration Disputed Facts and Evidence Sufficiency Dataset

#evidence sufficiency assessment #conflicting evidence analysis #proof gap identification #domestic arbitration dispute resolution #disputed fact verification #legal evidence assessment

5000
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset contains disputed factual claims drawn from domestic arbitration requests, statements of defense, related legal documents, and supporting evidence, with structured annotations linking claims to the evidence offered in support. Annotations cover the claiming party, the opposing position, fact type, evidence sufficiency status, rationale, key evidence gaps, conflicts, and reasons an assessment cannot be made. It supports training and evaluating legal document verifiers for claim verification, evidence analysis, and assessment-boundary recognition.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
key_gaps	array	Important missing materials, matters requiring verification, or gaps in the chain of proof that affect fact finding; recorded as an empty array when no clear gap is identified.
fact_type	string	The primary category of fact addressed by the disputed claim.
claim_text	string	A specific factual claim extracted from the source materials that requires assessment of its evidentiary support.
claimant_party	string	The party that advances the disputed factual claim; recorded as undetermined when the materials do not identify the party.
evidence_items	array	Evidence relevant to the factual claim, including its content, relevance, and limitations.
support_reason	string	The specific reasons for the evidence sufficiency assessment, based on the claim and the related evidence.
support_status	string	The assessment of how the available materials support the specific factual claim.
conflict_details	string	A description of conflicting evidence, the point of conflict, and its effect on the factual assessment; recorded as none when no conflict exists.
respondent_position	string	The opposing party's admission, denial, dispute, or other response to the factual claim; recorded as not mentioned when the materials do not address it.
unassessable_reason	string	The reason an assessment cannot be made, such as missing key materials, incomplete text, or an unclear claim; recorded as not applicable when this does not apply.
source_document_text	string	Original or text-extracted content from arbitration requests, statements of defense, related legal documents, and evidence materials used as the source for this annotation.
assessment_confidence	number	Confidence in the evidence sufficiency assessment, expressed as a value from 0 to 1.

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?: The dataset focuses on disputed factual claims in domestic arbitration and their related evidence. It provides source document text, claim details, party positions, evidence sufficiency assessments, rationales, key gaps, conflict details, and reasons an assessment cannot be made.

How is evidence sufficiency annotated?: Each assessment considers the factual claim and the corresponding materials, recording the degree of support and the reasons for the conclusion. It also captures important evidence gaps, conflicts, and cases where the available materials do not support a reliable assessment. Refer to the dataset's field and value specifications for the exact labels.

Which training and application scenarios does it support?: The dataset can be used to train or evaluate legal document verifiers for arbitration claim verification, evidence-support judgment, conflict detection, and missing-evidence analysis. It can assist professional workflows but is not a substitute for independent review by legal counsel or an arbitral tribunal.

How can I access the data and confirm usage rights?: Check the product page or contact the data provider for available versions, delivery methods, and access conditions. Legal documents and related materials may be subject to confidentiality, privacy, or other restrictions. Confirm the applicable license and follow relevant laws and data-handling requirements before use.

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Cite this Work

@dataset{Mobiusi2026,
  title={Domestic Arbitration Disputed Facts and Evidence Sufficiency Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/ab0dd872d2fbf3493b3e58d2ec708832},
  urldate={2026-10-19},
  keywords={domestic arbitration dataset,legal evidence data,evidence sufficiency judgment,arbitration fact finding,legal document analysis,evidence verification training,disputed fact verification,legal AI},
  version={1.0}
}

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