BOOM

该数据集是一个大规模的基准数据集，包含了2,807个现实世界时间序列中的3.5亿个观测值。该数据集被用于评估Toto模型在时间序列预测任务上的性能表现。其规模达到了3.5亿个观测值，旨在对时间序列预测的准确性进行全面的评估。

This is a large-scale benchmark dataset containing 350 million observations across 2,807 real-world time series. This dataset is utilized to evaluate the performance of the Toto model on time series forecasting tasks. With such a considerable scale, it is designed to conduct comprehensive assessments of the accuracy of time series forecasting.