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: 163760
num_examples: 700
- name: test
num_bytes: 33598
num_examples: 150
- name: val
num_bytes: 34170
num_examples: 150
download_size: 109320
dataset_size: 231528
- 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: 161711
num_examples: 700
- name: test
num_bytes: 34157
num_examples: 150
- name: val
num_bytes: 35660
num_examples: 150
download_size: 110917
dataset_size: 231528
- 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: 163988
num_examples: 700
- name: test
num_bytes: 33983
num_examples: 150
- name: val
num_bytes: 33557
num_examples: 150
download_size: 110704
dataset_size: 231528
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: central_bank_of_the_philippines
size_categories:
- 1K<n<10K
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/central_bank_of_the_philippines
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 Central Bank of the Philippines.
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 central_bank_of_the_philippines 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 central_bank_of_the_philippines 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