Dataset on multiregional variations of Bangla language (BD-Dialect)

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