MOBIUSI INCThis dataset covers disputed events in international news and captures claims from different reports that differ or have not been independently corroborated. Its JSON records extract claims by source, link them to the originating reports and supporting evidence, and label relationships between claims without merging accounts or deciding which claims are true. It supports training and evaluation of structured information extraction systems that preserve source differences and trace evidence.
Overview
Preview
Schema
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| source_reports | array | Original reports provided as independent sources for extracting claims. |
| claim_relations | array | Pairwise labels describing relationships between claims from different reports or reporting contexts. These labels do not determine which claim is true. |
| extracted_claims | array | Claims attributed to individual reports and linked to their source report and supporting evidence. Claims remain separate rather than being combined into one account. |
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
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@dataset{Mobiusi2026,
title={International News Conflict Reporting Evidence Mapping Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/43b55f001a39052f5540d1e441a1ee09?dataset_scene_id=17},
urldate={2026-10-21},
keywords={international news dataset,conflict reporting data,news evidence mapping,source attribution dataset,claim relation classification,fact checking training data,structured information extraction,news report analysis},
version={1.0}
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