Dataset on Multiregional Variations of Bangla Language (BD-Dialect)

The BD-Dialect dataset presents a comprehensive multiregional linguistic resource for Bangla and its major regional dialects, designed to support research in computational linguistics, dialectology, and natural language processing (NLP). The dataset includes aligned translations across Standard Bangla and five major dialects— Noakhali, Sylhet, Chittagong, Rajshahi, and Mymensingh —alongside English translations to facilitate cross-linguistic comparison. Data were collected from two sources: native speaker interviews and regional literature , ensuring both lexical richness and regional authenticity. The final dataset consists of two CSV files (words and clauses), each containing 950 aligned entries structured under seven columns: Standard Bangla, Noakhali, Sylhet, Chittagong, Rajshahi, Mymensingh, and English Translation. Preprocessing and formatting were conducted using Python in Google Colab , followed by validation by three native speakers per dialect to ensure linguistic accuracy and consistency. The dataset and preprocessing scripts are publicly available in Mendeley Data under DOI: 10.17632/k769s4vk5z.2, providing an open-access resource for developing dialect recognition models, translation systems, and comparative linguistic research in Bangla.