Macroeconomic and Central Bank News Evidence Extraction Dataset

#Information Extraction #Evidence Linking #Structured Output Generation #Macroeconomic Monitoring #Central Bank Policy Analysis #Financial News Structuring

4350
0.4GB
JSON
CATL
MOBIUSI INC

Updated:2026-11-04

AI Analysis & Value Prop

This dataset contains news text about macroeconomic indicator releases, central bank decisions, and related financial reporting, paired with JSON extraction annotations. The annotations capture indicators or policy matters, values, units, applicable periods, reporting entities, and source-text evidence supporting the extracted fields. It is suited to structured output SFT, financial information extraction, and source-grounded fact verification.

Dataset Insights

Sample Examples

{}

Technical Specifications

Field	Type	Description
file_name	string	File name
source_text	string	The original news article or relevant source passage used for extraction.
extracted_items	array	Macroeconomic indicators or central bank policy matters identified in the source text, including reported details and supporting evidence.

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 contains source passages about macroeconomic indicator releases, central bank decisions, and related financial reporting, paired with JSON annotations. Extracted content includes indicators or policy matters, values, units, applicable periods, reporting entities, and source-text evidence for the annotated fields.

Which training tasks does it support?: The data supports information extraction from macroeconomic and financial news, key field recognition, evidence linking, and structured output SFT. It can also be used to evaluate whether a model produces grounded extractions from source text.

How can I access and use the data?: Check the product listing for available formats, delivery methods, and access conditions. The source text and JSON annotations can be paired for model training, validation, or internal evaluation.

What are the licensing terms?: The permitted uses, applicable scenarios, and redistribution restrictions are defined by the product listing or accompanying license. Before commercial training or external publication, confirm the usage rights for both the news source content and the annotations.

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Cite this Work

@dataset{Mobiusi2026,
  title={Macroeconomic and Central Bank News Evidence Extraction Dataset},
  author={MOBIUSI INC},
  year={2026},
  url={https://www.mobiusi.com/datasets/9c22ff696a9d874e395c19297c8b8331?dataset_scene_id=3},
  urldate={2026-10-26},
  keywords={macroeconomic news dataset,central bank news extraction,financial information extraction,economic indicator recognition,monetary policy data,news evidence annotation,structured output training,financial news data},
  version={1.0}
}

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