Dataset Groups Activity Stream DEER DEER is a dataset containing 1.2k rule-fact pairs for the task of inducing natural language rules from natural language facts. BibTex: @dataset{Zonglin_Yang_and_Li_Dong_and_Xinya_Du_and_Hao_Cheng_and_Erik_Cambria_and_Xiaodong_Liu_and_Jianfeng_Gao_and_Furu_Wei_2024, abstract = {DEER is a dataset containing 1.2k rule-fact pairs for the task of inducing natural language rules from natural language facts.}, author = {Zonglin Yang and Li Dong and Xinya Du and Hao Cheng and Erik Cambria and Xiaodong Liu and Jianfeng Gao and Furu Wei}, doi = {10.57702/n2q9hsoe}, institution = {No Organization}, keyword = {'Inductive Reasoning', 'Natural Language Facts', 'Natural Language Rules'}, month = {dec}, publisher = {TIB}, title = {DEER}, url = {https://service.tib.eu/ldmservice/dataset/deer}, year = {2024} }
