license: mit
language:
- pt
We present BBRC, a collection of 25 corpus of banking regulatory risk from different departments of Banco do Brasil (BB). These are individual corpus about investments, insurance, human resources, security, technology, treasury, loans, accounting, fraud, credit cards, payment methods, agribusiness, risks, etc. They were annotated in binary form by experts indicating whether each regulatory document contains regulatory risk that may require changes to products, processes, services, and channels of a bank department or not. The corpora in Portuguese contain documents from 26 Brazilian regulatory authorities in the financial sector. In total, there are 61,650 annotated documents, mostly between half and three pages long. The corpora belong to a Natural Language Processing (NLP) application that has been in production since 2020. The corpora size is 1.6GB.
The BBRC dataset is described in details in the paper BBRC: Brazilian Banking Regulation Corpora, that was presented and published during the 7th Financial Technology and Natural Language Processing (FinNLP) 2024, which was held in the LREC-COLING 2024.
FinNLP: https://sites.google.com/nlg.csie.ntu.edu.tw/finnlp-kdf-2024/home
LREC-COLING 2024: https://lrec-coling-2024.org/
The article (paper): https://aclanthology.org/2024.finnlp-1.15.pdf
Presentation video: https://drive.google.com/file/d/1Lk_xVno8odMJJK2yskEe9azQov4Y7vcv/view?usp=sharing
Presentation: https://drive.google.com/file/d/1vxKThA_CqDIX6XalFk68yb8WeTwDtek7/view?usp=sharing
GitHub: https://github.com/bancodobrasil/bbrc
LinkedIn post: https://www.linkedin.com/feed/update/urn:li:activity:7199492778874015745/