Bengali NER dataset
Published: 11 November 2024| Version 1 | DOI: 10.17632/xrvvtdr2t7.1
Contributors:
Ashraf Uddin, , Description
The dataset was collected from various Bengali online news portals. Words in the text were categorized into eight classes: B-PER, I-PER, B-LOC, I-LOC, B-ORG, I-ORG, O, and TIM. The dataset is organized into two CSV files. One file contains the tagged data with three columns: Sentence Number, Word, and Tag. This file includes tagged tokens from 10,000 sentences, totaling 146,327 words. The other file contains the original data sentences as well as augmented data sentences created using two methods: back-translation and paraphrasing. This file includes four columns: sentence_number, original_sentence, back_translation, and paraphrasing. The total size of the dataset is 9,611 KB, and it can be downloaded using the provided link.
Files
Institutions
American International University Bangladesh
Categories
Natural Language Processing