SMCalFlow is a large corpus of semantically detailed annotations of task-oriented natural dialogues. The annotations use a dataflow approach, in which the annotations are programs which represent user requests. Despite the availability, size and richness of this annotated corpus, it has seen only very limited use in dialogue systems research work, at least in part due to the difficulty in understanding and using the annotations. To address these difficulties, this paper suggests a simplification of the SMCalFlow annotations, as well as releases code needed to inspect the execution of the annotated dataflow programs, which should allow researchers of dialogue systems an easy entry point to experiment with various dataflow based implementations and annotations.

翻译：SMCalFlow是一大批以任务为导向的自然对话的精密说明。说明使用一种数据流方法,说明是代表用户请求的程序。尽管该附加说明有其可用性、大小和内容丰富,但它在对话系统研究工作中的使用非常有限,至少部分是由于理解和使用说明方面的困难。为了解决这些困难,本文件建议简化SMCalFlow说明,以及用于检查附加说明的数据流程序执行情况的释放代码,使对话系统的研究人员能够轻松地进入各个数据流执行和说明的试验点。