Central Bank Communications with Sentence-Level Sentiment Annotations

224,774 annotated sentences from 15,024 central bank documents, including minutes, speeches, and reports, for monetary policy analysis. The dataset, created by 'aufklarer', also includes 15,957 economic indicators and was last updated on Hugging Face in May 2026.

Use Cases

• Training sentiment analysis models based on annotated central bank communications.
• Analyzing the tone and topics of monetary policy discussions across different document types.
• Correlating central bank communication sentiment with economic indicators mentioned in the dataset.

Strengths

• Large scale of 224,774 sentence-level annotations.
• Covers multiple document types, including minutes, speeches, and reports.
• Includes 15,957 economic indicators for potential contextual analysis.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count for the primary data is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Hugging Face user 'aufklarer'.

Freshness

Last updated 2026-05-26 05:40:17; freshness should be verified.