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: 120275
num_examples: 700
- name: test
num_bytes: 26302
num_examples: 150
- name: val
num_bytes: 24993
num_examples: 150
download_size: 74863
dataset_size: 171570
- 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: 120532
num_examples: 700
- name: test
num_bytes: 25201
num_examples: 150
- name: val
num_bytes: 25837
num_examples: 150
download_size: 75256
dataset_size: 171570
- 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: 120315
num_examples: 700
- name: test
num_bytes: 25671
num_examples: 150
- name: val
num_bytes: 25584
num_examples: 150
download_size: 75165
dataset_size: 171570
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: swiss_national_bank
size_categories:
- 1K<n<10K
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/swiss_national_bank
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 Swiss National Bank.
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 swiss_national_bank 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 swiss_national_bank 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