metadata
dataset_info:
features:
- name: sequenceA
dtype: string
- name: sequenceB
dtype: string
- name: next_sentence_label
dtype: int64
splits:
- name: train
num_bytes: 505762257.6721524
num_examples: 773395
- name: test
num_bytes: 89252509.32784761
num_examples: 136482
download_size: 365034957
dataset_size: 595014767
license: apache-2.0
task_categories:
- text-classification
- token-classification
language:
- en
tags:
- economics
- finance
size_categories:
- 100K<n<1M
pretty_name: central_bank_speeches_MLM
Dataset Card for "BIS_Speeches_97_23"
This dataset is built from scrapped speeches on the Bank of International Settlements thanks to this repo : https://github.com/HanssonMagnus/scrape_bis. The dataset is made of 12k speeches from 1997 to 2023. Each pair is built with extracted sentences from speeches, if B is following A then the 'next_sentence_label' is 1 else it is 0. Negative pairs are built by choosing a sentence from another speech randomly.
Credits
Full credits to the Bank of International Settlements for making the resource available through the internet. Credits to Samuel Chaineau for making it available on HF Hub.