Power Outage Emergency Order Evidence Verification Dataset

#claim verification #evidence sufficiency assessment #document evidence localization #power outage emergency response #emergency order compliance #regulatory evidence verification

7000
0.3GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-03

AI Analysis & Value Prop

Focused on large-scale power outage response, this dataset contains excerpts from emergency declarations, administrative orders, and regulatory emergency orders, paired with legal and operational claims for verification. Annotations cover authorization, scope, effective duration, and designated actions, with judgments indicating support, contradiction, or insufficient evidence, along with relevant quotations, evidence locations, and rationales. It supports training and evaluating models for claim verification and evidence sufficiency assessment based on legal documents.

Dataset Insights

Sample Examples

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Technical Specifications

Field	Type	Description
file_name	string	File name
claim_text	string	The claim about authorization, scope, effective duration, or a designated action to be evaluated against the document excerpt.
evidence_quote	string	The specific passage from the document excerpt that supports the verification judgment, or an empty string if no relevant passage can be identified.
claim_dimension	string	The legal or operational dimension addressed by the claim.
document_excerpt	string	The excerpt from an emergency declaration, administrative order, or regulatory emergency order to be evaluated.
evidence_locator	string	The available reference to the section, page, paragraph, or clause containing the quoted evidence.
judgment_rationale	string	A concise explanation of how the cited evidence supports, contradicts, or fails to determine the claim.
verification_label	string	Indicates whether the document excerpt supports, contradicts, or is insufficient to determine the claim.

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?: It includes excerpts from emergency declarations, administrative orders, and regulatory emergency orders, paired with claims about authorization, scope, effective duration, or designated actions. Samples also provide judgment labels, evidence quotations and locations, and rationales explaining whether the evidence supports, contradicts, or is insufficient to determine a claim.

Which tasks is the dataset suited for?: It is suitable for legal document evidence verification, claim classification, evidence sufficiency assessment, and evidence passage localization. Use it to train or evaluate verifiers that process emergency orders and regulatory documents.

How can I access the dataset, and what are its licensing terms?: Check the dataset product page for available access methods, data formats, and licensing terms. Usage permissions and restrictions are governed by the license published on that page.

What information is provided for evidence locations?: When available in the source material, the locator identifies the relevant section, page, paragraph, or clause. If no relevant supporting passage can be identified, the evidence quotation may be empty, with the rationale explaining the judgment.

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Cite this Work

@dataset{Mobiusi2026,
  title={Power Outage Emergency Order Evidence Verification Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/e35b262a5d3e4fba2f871523f8b21b1a},
  urldate={2026-10-21},
  keywords={power outage emergency order dataset,legal evidence verification,emergency order verification,power outage response,legal document analysis,claim verification data,evidence sufficiency assessment,regulatory order dataset},
  version={1.0}
}

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