Value of the Data •Dataset obtained from Near infrared spectroscopy (NIRS) provide fast, non-destructive, simultaneous and pollution free to determine quality attributes of agricultural products like mango fruits. •These data can be used to develop prediction models used to predict vitamin C, soluble solids content (SSC) and total acidity (TA) of intact mangos without complicated sample procedures and preparations. •Data can be benefited for those who concentrated on rapid and non-destructive application for agriculture products. They can be from academics, agro-industries and practitioners. •Near infrared spectroscopy can be employed in foods and agricultural products industries especially for quality evaluations: sorting, grading and authenticating. •Prediction performances may vary, depends on spectra enhancement and regression approaches to be used.