Event F1 Score (Trigger+Arguments) is an important evaluation metric in the Natural Language Processing field for Information Extraction / Named Entity Recognition tasks. Event F1 requires both the trigger word and all arguments to be correct for a complete event match, making it the most comprehensive evaluation metric for event extraction. It is typically reported as a percentage or a score between 0 and 1. This metric is widely used in relevant benchmarks and papers, effectively reflecting model performance in this dimension. Higher values indicate better performance.