CSEQIntent-v1: A Large-Scale Multilingual Dataset of Undergraduate Computer Science Student Questions for Intent Detection

CSEQIntent-v1 is a large-scale multilingual dataset for intent detection in undergraduate Computer Science and Engineering (CSE) student questions. The dataset contains 20,300 cleaned question instances organized into 20 intent categories and includes English, Bangla, and Bangla-English mixed question forms. The release package includes the cleaned dataset, label definitions, intent and language distribution files, stratified train-validation-test splits, dataset statistics, README documentation, license, and changelog. The dataset is intended for research on educational NLP, multilingual text classification, academic chatbots, student question understanding, and intelligent student support systems.