Labeled Bangla SMS Spam and Ham Dataset for Text Classification and Machine Learning Research (2026)
Abstract
This dataset presents a collection of Bangla (Bengali) Short Message Service (SMS) text messages compiled for spam detection and text classification research. The dataset includes labeled messages categorized as spam and legitimate (ham), enabling supervised machine learning and natural language processing applications in a low-resource language setting. The data were collected and structured in 2026 for academic and research purposes. The dataset can be used to develop and evaluate machine learning and deep learning models for spam filtering, feature extraction, text mining, and communication security systems. By providing a structured Bangla SMS corpus, this resource aims to support research in Bangla natural language processing and contribute to the development of intelligent spam detection systems.
Fields of Study & Subjects
Spam and Phishing Detection
Text and Document Classification Technologies
Hate Speech and Cyberbullying Detection
Publication details
- Journal / source
- Mendeley Data
- Publication date
- 26 February 2026
- Language
- EN
- Document type
- Dataset