metadata
dataset_info:
features:
- name: bank
dtype: string
- name: year
dtype: int64
- name: doc_id
dtype: string
- name: release_date
dtype: string
- name: start_date
dtype: string
- name: end_date
dtype: string
- name: minutes_link
dtype: string
- name: cleaned_name
dtype: string
- name: original_name
dtype: string
- name: sentence
dtype: string
splits:
- name: train
num_bytes: 169841774
num_examples: 380200
download_size: 31197106
dataset_size: 169841774
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
license: cc-by-nc-sa-4.0
task_categories:
- text-classification
language:
- en
tags:
- finance
- econ
pretty_name: WCB_380k_sentences
size_categories:
- 100K<n<1M
Dataset Summary
For dataset summary, please refer to https://huggingface.co/datasets/gtfintechlab/WCB_380k_sentences
Additional Information
This dataset contains all scraped sentences from 25 central banks. Each sentence contains metadata including temporal information and specific names from our Github repository. Additional information about this dataset is available in our paper.
Label Interpretation
- bank: The central bank name.
- year: The year of the monetary policy meeting (or equivalent meeting).
- doc_id: Unique document identifier, which follows the naming convention: "{bank_name}_{meeting_date}".
- release_date: Date when the meeting minutes (or equivalent documents) were released.
- start_date: Start date of the meeting.
- end_date: End date of the meeting.
- minutes_link: Link to the original minutes (or equivalent) document.
- cleaned_name: Cleaned version of the meeting minutes (or equivalent) document, which follows the naming convention: "{bank_name}_{meeting_date}.txt"
- original_name: Original version of the meeting minutes (or equivalent) document, which follows the naming convention: "{bank_name}_{meeting_date}.{file_extension}"
- sentence: The sentence from the minutes (or equivalent) document.
Licensing Information
The WCB_380k_sentences 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 WCB_380k_sentences 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