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
  - 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.)