UDDIPOK: A reading comprehension based question answering dataset in Bangla language
Tanjim Taharat Aurpa,
Md Shoaib Ahmed,
Richita Khandakar Rifat,
Md. Musfique Anwar,
A.B.M. Shawkat Ali
Affiliations
Tanjim Taharat Aurpa
Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh; Department of Computer Science and Engineering, International University of Business Agriculture and Technology, Bangladesh; Corresponding author at: Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Md Shoaib Ahmed
Brian Station 23 Ltd, Dhaka, Bangladesh; JU Data Mining Research Lab, Dhaka, Bangladesh
Richita Khandakar Rifat
Department of Computer Science and Engineering, Jahangirnagar University, Savar, Dhaka, Bangladesh
Md. Musfique Anwar
Department of Information and Computer Science, King Fahd University of Petroleum and Minerals, Saudi Arabia; JU Data Mining Research Lab, Dhaka, Bangladesh
A.B.M. Shawkat Ali
Central Queensland University, Melbourne, Australia; JU Data Mining Research Lab, Dhaka, Bangladesh
The popularity of reading comprehension (RC) is increasing day-to-day in Bangla Natural Language Processing (NLP) research area, both in machine learning and deep learning techniques. However, there is no original dataset from various sources in the Bangla language except translated from foreign RC datasets, which contain abnormalities and mismatched translated data. In his paper, we present UDDIPOK, a novel wide-ranging, open-domain Bangla reading comprehension dataset. This dataset contains 270 reading passages, 3636 questions, and answers from diverse origins, for instance, textbooks, exam questions from middle and high schools, newspapers, etc. Furthermore, this dataset is formated in CSV, which contains three columns: passages, questions, and answers. As a result, data can be handled expeditiously and easily for any machine learning research.
