Event Logs from Pre-Study

该数据集被用于评估在转换器基础的下一个活动预测模型中，解释器的性能表现。该数据集涵盖了多个事件日志，用于训练和评估，虽然具体细节未提供，但其重点在于评估变压器模型在预测性流程监控中的可解释性。评估指标包括正确性、完整性、连续性、对比性和紧凑性等，这些指标被用来对解释器进行综合评价。该数据集的任务是进行下一个活动预测以及解释器的评估。

This dataset is used to evaluate the performance of interpreters in transformer-based next activity prediction models. It contains multiple event logs for training and evaluation. Although specific details are not provided, its core focus is to assess the interpretability of transformer models in predictive process monitoring. Evaluation metrics include correctness, completeness, continuity, comparability, compactness and other indicators, which are used to conduct comprehensive evaluations of interpreters. The tasks of this dataset include next activity prediction and interpreter evaluation.