MOBIUSI INCThis dataset brings together case documents, including complaints, motions, declarations, testimony excerpts, and exhibits, organized around commercial fraud elements such as misrepresentation, knowledge or intent, reliance, causation, and loss. For each specific fraud claim, retrieval requests are paired with supporting evidence drawn from related documents, with cross-document, multi-hop relationships preserved. It supports legal evidence retrieval, complex case analysis, and training or evaluation of knowledge-grounding capabilities.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| case_documents | array | Source documents forming the evidentiary basis of a case, including complaints, motions, declarations, testimony excerpts, and exhibits. |
| retrieval_queries | array | Original retrieval requests targeting specific commercial fraud claims and their legal elements. |
| retrieval_summary | object | A derived summary of element coverage, evidence completeness, and cross-document retrieval paths. |
| evidence_chain_results | array | Supporting evidence for each fraud element, extracted and organized from related documents in response to retrieval requests, with multi-hop relationships preserved. |
Trust
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
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@dataset{Mobiusi2026,
title={Commercial Fraud Claim Evidence-Chain Retrieval Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/33de1ec061d716c321b5a50155283432?dataset_task_cate_id=10},
urldate={2026-10-15},
keywords={commercial fraud dataset,legal evidence retrieval,fraud claim analysis,litigation documents,evidence chain retrieval,multi-hop legal reasoning,commercial litigation data,legal knowledge grounding},
version={1.0}
}Using this in research? Please cite us.