A ~59-hour corpus of spontaneous Nepali–English code-switched speech clipped from publicly available STEM and CS lecture videos on YouTube. The dataset targets ASR model training and evaluation for code-switched (CS) Nepali–English speech — a variety commonly used in Nepali higher education and online tutoring, where teachers fluidly mix Nepali grammar with English technical vocabulary.