Value of the data•Tuberculosis is one of most lethal disease in the current decade; development of potent antitubercular compounds is need of time.•GQSAR modelling data was developed for predicting structural properties of benzothiazole dataset which are infusing antitubercular activity.•The GQSAR models generated will be utilized to screen various heterocyclic datasets for antitubercular potency, which will lead to development of novel antitubercular compounds.