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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.