We perform experiments using three benchmark datasets for co-hyponymy detection (Weeds et al., 2014; Santus et al., 2016; <cite>Jana and Goyal, 2018b)</cite> . For <cite>each of these</cite>, we follow the same experimental setup as discussed by the authors and compare our method with the method proposed by the author as well as the state-of-the-art models by <cite>Jana and Goyal (2018b)</cite> . We perform the analysis of three datasets to investigate the extent of overlap present in these publicly available benchmark datasets and find out that 45.7% word pairs of dataset prepared by Weeds et al. (2014) are present in dataset ROOT9 prepared by Santus et al. (2016) . This intersection set comprises 27.8% of the ROOT9 dataset. Similarly 36.7% word pairs of dataset prepared by Weeds et al. (2014) are present in the whole dataset prepared by <cite>Jana and Goyal (2018b)</cite> . This intersection set comprises 44.9% of the dataset prepared by <cite>Jana and Goyal (2018b)</cite> .