Datasets:
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
splits:
- name: train
num_bytes: 141293
num_examples: 700
- name: test
num_bytes: 30580
num_examples: 150
- name: val
num_bytes: 30355
num_examples: 150
download_size: 88880
dataset_size: 202228
- 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
dtype: int64
- name: __index_level_0__
dtype: int64
splits:
- name: train
num_bytes: 141608
num_examples: 700
- name: test
num_bytes: 30627
num_examples: 150
- name: val
num_bytes: 29993
num_examples: 150
download_size: 89330
dataset_size: 202228
- 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:
- name: train
num_bytes: 141066
num_examples: 700
- name: test
num_bytes: 30977
num_examples: 150
- name: val
num_bytes: 30185
num_examples: 150
download_size: 89810
dataset_size: 202228
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: monetary_authority_of_singapore
size_categories:
- 1K<n<10K
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/monetary_authority_of_singapore
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 Monetary Authority of Singapore.
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 monetary_authority_of_singapore 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 monetary_authority_of_singapore 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