Datasets of three downstream tasks in LLiM

The data for the three downstream tasks are as follows: anomaly detection is a classification task, while SoH estimation and remain range prediction are both regression tasks. The objectives of the three tasks are to identify whether lithium batteries are abnormal, estimate the actual capacity of the lithium battery, and predict the remain riding range of the lithium battery based on the time-series data, respectively