Bangla Suspicious Text Datasets

It has 4 central portions, which show Bangla text. One contains only Bangla text(12179-unsuspicious, 7822-suspicious). Another one contains Bangla and English mixed(12725-unsuspicious, 7219-suspicious). Another one contains politically suspicious content(167-unsuspicious, 132-suspicious). Lastly, another contains the @name mentioned comment(6145-suspicious, 53855-unsuspicious). Finally, a CSV file contains all categorical Bangla Data. It contains 1,00,100+ data.

COLLECTION METHODOLOGY

Suspicious tweets- https://www.kaggle.com/datasets/syedabbasraza/suspicious-tweets Suspicious Tweets - https://www.kaggle.com/datasets/munkialbright/suspicious-tweets Suspicious Communication on Social Platforms - https://www.kaggle.com/datasets/syedabbasraza/suspicious-communication-on-social-platforms

Others are collected manually from Facebook comments. After collecting the Bangla comments, check dataset comment was understandable or not. Then step by step, each Excel file is converted into a datagram. then change the column name to the desired one('Detect' and 'Bangla Text'). I also drop some columns if needed. The files are saved in an Excel file because the CSV file can not contain Bangla text appropriately.

The 5 XLSX file are "suspicious_content(bangla)", "suspicious_content(bangla + english)", "suspicious_content(political)", "suspicious_content(including mention)" and "suspicious_content(all)". All the Excel files have only two columns, 'Detect' and 'Bangla Text'.

I used a script to convert the English text into Bangla in Kaggle. You will be able to see the dataset creation process in this link: https://www.kaggle.com/code/meherunnesashraboni/suspicious