Labeled Bangla SMS Spam and Ham Dataset for Text Classification and Machine Learning Research (2026)

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.

本数据集收录了专为垃圾短信检测与文本分类研究构建的孟加拉语（Bangla）短消息服务（Short Message Service, SMS）文本集合。该数据集包含标注后的短信样本，分为垃圾短信与合法短信（ham）两类，可用于低资源语言场景下的监督式机器学习与自然语言处理相关应用。本数据集于2026年为学术研究目的收集并完成结构化整理。

本数据集可用于开发、评估面向垃圾短信过滤、特征提取、文本挖掘以及通信安全系统的机器学习与深度学习模型。本数据集作为结构化的孟加拉语SMS语料库，旨在助力孟加拉语自然语言处理领域的相关研究，并为智能垃圾短信检测系统的开发提供支撑。