Influence Predictor Dataset

该数据集包含了从全球模拟器中采用统一随机策略抽取的1000个片段，用于训练一个近似的影响预测器。此外，该数据集还被用于训练一个门控循环单元（GRU）模型，旨在预测复杂环境中规划性能的影响。数据集的规模为1000个片段，任务是对复杂环境中的规划性能进行影响预测的训练。

This dataset contains 1000 segments sampled via a uniform random strategy from a global simulator. It is utilized to train two models: an approximate impact predictor, and a Gated Recurrent Unit (GRU) model designed to predict the impact of planning performance in complex environments. This dataset is specifically tailored for training tasks focused on impact prediction of planning performance in complex environments.