Bilingual Question-Answering Dataset on Financial Literacy for Bengali Speakers
Published: 17 February 2025| Version 1 | DOI: 10.17632/c7n77bdtcm.1
Contributor:
Mohammad Rifat Ahmmad RashidDescription
This is a bilingual question-answering dataset aimed at improving financial literacy for Bengali speakers. It contains a total of 10,412 Q&A pairs, split equally into 5,206 pairs in Bangla and 5,206 pairs in English. The dataset is constructed from financial contexts extracted from PDFs on the National Board of Revenue (NBR) website.
Files
Institutions
East West University
Categories
Natural Language Processing, Natural Language Generation, Large Language Model