In this paper we present the results of the AI-Debater 2023 Challenge held by the Chinese Conference on Affect Computing (CCAC 2023), and introduce the related datasets. We organize two tracks to handle the argumentative generation tasks in different scenarios, namely, Counter-Argument Generation (Track 1) and Claim-based Argument Generation (Track 2). Each track is equipped with its distinct dataset and baseline model respectively. In total, 32 competing teams register for the challenge, from which we received 11 successful submissions. In this paper, we will present the results of the challenge and a summary of the systems, highlighting commonalities and innovations among participating systems. Datasets and baseline models of the AI-Debater 2023 Challenge have been already released and can be accessed through the official website of the challenge.

翻译：本文介绍了由中国情感计算大会（CCAC 2023）主办的AI-Debater 2023挑战赛的成果，并介绍了相关数据集。我们设置了两个赛道以处理不同场景下的论据生成任务，即反论据生成（赛道1）与基于主张的论据生成（赛道2）。每个赛道均配备了各自独立的数据集与基线模型。总计有32支参赛队伍注册了本次挑战赛，我们收到了其中11支队伍的成功提交。在本文中，我们将展示挑战赛的结果并对各参赛系统进行总结，重点分析参赛系统间的共性与创新点。AI-Debater 2023挑战赛的数据集与基线模型均已发布，可通过挑战赛官方网站访问。