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---
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
- business
size_categories:
- 100K<n<1M
---
# 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.) |