The paper introduces the second version of the Penn Discourse Treebank (PDTB-2.0), a richly annotated corpus of discourse relations and their arguments over the 1 million-word Wall Street Journal (WSJ) corpus. The PDTB-2.0 includes annotations of discourse relations, their arguments, sense labels, and attribution. The annotations are based on a lexically grounded approach, using discourse connectives to express relations, and are designed to support automatic identification and analysis of discourse structure. The paper details the annotation process, including the structure of discourse relations, sense annotation, and attribution, and highlights differences between PDTB-1.0 and PDTB-2.0. The PDTB-2.0 provides a comprehensive resource for researchers and practitioners in natural language processing, particularly in areas such as text summarization, question answering, and natural language generation.The paper introduces the second version of the Penn Discourse Treebank (PDTB-2.0), a richly annotated corpus of discourse relations and their arguments over the 1 million-word Wall Street Journal (WSJ) corpus. The PDTB-2.0 includes annotations of discourse relations, their arguments, sense labels, and attribution. The annotations are based on a lexically grounded approach, using discourse connectives to express relations, and are designed to support automatic identification and analysis of discourse structure. The paper details the annotation process, including the structure of discourse relations, sense annotation, and attribution, and highlights differences between PDTB-1.0 and PDTB-2.0. The PDTB-2.0 provides a comprehensive resource for researchers and practitioners in natural language processing, particularly in areas such as text summarization, question answering, and natural language generation.