Before revision:  In this paper ,  we propose large-scale datasets extracted from Wikidata, which provide more size-balanced concept graphsand abundant cross-view links  . Based on the datasets, we further propose a benchmark to test the ability of existing models on knowledge abstraction , concretization and completion (KACC) . Our dataset is available at URL
After revision:  In this paper , and completion (KACC), which are crucial for human to recognize the world and manage learned knowledge. Existing studies mainly focus on partial aspects of KACC. In order to promote thorough analyses for KACC abilities of models, we propose large-scale datasets extracted from Wikidata, which provide more size-balanced concept graphsand abundant cross-view links . Based on the datasets, we further propose a benchmark to test the ability of existing models on knowledge abstraction , concretization and completion (KACC) . Our dataset is available at URL