Datasetpublic

gtfintechlab/bank_of_the_republic_colombia

Dataset Summary For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/bank_of_the_republic_colombia Additional Information This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty Estimation. The tasks have four, two, and two unique labels, respectively. This dataset contains 1,000 sentences taken from the meeting minutes of the Bank of the Republic (Colombia). Label… See the full description on the dataset page: https://huggingface.co/datasets/gtfintechlab/bank_of_the_republic_colombia.

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Dataset Card

Dataset Summary

For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/bank_of_the_republic_colombia

Additional Information

This dataset is annotated across three different tasks: Stance Detection, Temporal Classification, and Uncertainty Estimation. The tasks have four, two, and two unique labels, respectively. This dataset contains 1,000 sentences taken from the meeting minutes of the Bank of the Republic (Colombia).

Label Interpretation

Stance Detection

—Hawkish: The sentence supports contractionary monetary policy.
—Dovish: The sentence supports expansionary monetary policy.
—Neutral: The sentence contains neither hawkish or dovish sentiment, or both hawkish and dovish sentiment.
—Irrelevant: The sentence is not related to monetary policy.

Temporal Classification

—Forward-looking: The sentence discusses future economic events or decisions.
—Not Forward-looking: The sentence discusses past or current economic events or decisions.

Uncertainty Estimation

—Certain: Indicates that the sentence presents information definitively.
—Uncertain: Indicates that the sentence presents information with speculation, possibility, or doubt.

Licensing Information

The bankoftherepubliccolombia dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. More information in the paper.

Citation Information

bibtex

@article{WCBShahSukhaniPardawala,
  title={Words That Unite The World: A Unified Framework for Deciphering Global Central Bank Communications},
  author={Agam Shah, Siddhant Sukhani, Huzaifa Pardawala et al.},
  year={2025}
}

Contact

For any bankoftherepubliccolombia dataset related issues and questions, please contact:

—Huzaifa Pardawala: huzaifahp7[at]gatech[dot]edu

—Siddhant Sukhani: ssukhani3[at]gatech[dot]edu

—Agam Shah: ashah482[at]gatech[dot]edu

GitHub Link

Link to our GitHub repository.