Datasets:
metadata
dataset_info:
- config_name: '5768'
features:
- name: sentences
dtype: string
- name: stance_label
dtype: string
- name: time_label
dtype: string
- name: certain_label
dtype: string
- name: year
dtype: int64
- name: __index_level_0__
dtype: int64
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num_examples: 700
- name: test
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num_examples: 150
- name: val
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num_examples: 150
download_size: 104811
dataset_size: 230841
- config_name: '78516'
features:
- name: sentences
dtype: string
- name: stance_label
dtype: string
- name: time_label
dtype: string
- name: certain_label
dtype: string
- name: year
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- name: __index_level_0__
dtype: int64
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dataset_size: 230841
- config_name: '944601'
features:
- name: sentences
dtype: string
- name: stance_label
dtype: string
- name: time_label
dtype: string
- name: certain_label
dtype: string
- name: year
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
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num_examples: 700
- name: test
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num_examples: 150
- name: val
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num_examples: 150
download_size: 105329
dataset_size: 230841
configs:
- config_name: '5768'
data_files:
- split: train
path: 5768/train-*
- split: test
path: 5768/test-*
- split: val
path: 5768/val-*
- config_name: '78516'
data_files:
- split: train
path: 78516/train-*
- split: test
path: 78516/test-*
- split: val
path: 78516/val-*
- config_name: '944601'
data_files:
- split: train
path: 944601/train-*
- split: test
path: 944601/test-*
- split: val
path: 944601/val-*
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- en
tags:
- finance
- econ
pretty_name: bank_of_thailand
size_categories:
- 1K<n<10K
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/bank_of_thailand
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 Thailand.
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 bank_of_thailand dataset is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International. More information in the paper.
Citation Information
@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 bank_of_thailand 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