Studies of human language processing employ metrics like cloze probability and surprisal as proxies of a word's contextual probability. There already exist corpora of cloze probability-normed sentences for many languages of Germanic and Romance families, but relatively few resources are available in other language families, and none whatsoever in the Nepali language. Here we report a dataset of cloze-normed Nepali sentences together with the information-theoretic measure of surprisal. We also calculate the contextual constraint of the sentences using metrics of type-token ratio and proportion of idiosyncratic responses. We establish the relationships between a word's contextual probability and the contextual constraint of the sentence generating those words. With this, the present study aims to create a corpus of cloze-normed Nepali sentences, providing resources for diverse research (e.g., predictive language processing) in this understudied language.