xMIND is an open, large-scale multilingual news dataset for multi- and cross-lingual news recommendation. xMIND is derived from the English MIND dataset using open-source neural machine translation (i.e., NLLB 3.3B).
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We have constructed our dataset by five fields available on the website that were found convenient for the study of student expectations and experience. This includes out-of-five star ratings on easiness, understandability, recitation, accessibility and helpfulness. Average rating was calculated based on these given five fields. Overall sentiment of the review was determined based on the average rating where any score higher than 3.5 (>=) was labeled as a positive review, and anything lower than 2.5 (<) was labeled as a negative review. The five main aspects students needed to rate was given below.
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