It is crucial to utilize events to understand a specific domain. There Event Extraction (EE) aims to detect event instance(s) as well as all are lots of research on event extraction in many domains such as of its participants and attributes in texts by analyzing and identifying news, finance and biology domain. However, scientific domain still mentions of semantically defined entities and relationships lacks event extraction research, including comprehensive datasets within them [8, 52]. EE task usually consists of 2 subtasks, Event and corresponding methods. Compared to other domains, scientific Detection (ED) and Event Argument Extraction (EAE). Specifically, domain presents two characteristics: denser nuggets and more an ED system identifies the word(s) that most clearly refer to the complex events. To solve the above problem, considering these two occurrence of an event, i.e., event trigger, and also detects the type characteristics, we first construct SciEvents, a large-scale multievent of event that is evoked by the event trigger [35]. EAE subtask aims document-level dataset with a schema tailored for scientific to recognize nuggets as event arguments and classify their roles in domain. It has 2,508 documents and 24,381 events under refined events.