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 , we propose large-scale datasets extracted from Wikidata, which provide more size-balanced concept graphsand abundant cross-view links . Based on the datasets, we propose novel tasks such as multi-hop knowledge abstraction (MKA), multi-hop knowledge concretization (MKC) and then design a comprehensive benchmark. For MKA and MKC tasks, we further annotate multi-hop hierarchical triples as harder samples. The experimental results of existing methods demonstrate the challenges of our benchmark. The resource is available at URL