Add Five Benchmark Time Series Datasets

[yuxin370]

This PR introduces five widely-used real-world time series datasets spanning diverse domains — including IoT, smart grids, traffic systems, and infrastructure monitoring. These datasets are ideal for benchmarking time series models in forecasting, anomaly detection, resource allocation, and streaming analytics.

Dataset Summary

Name	# Attr	Original Length	Domain	Citation
Weather Forecast (WF)	6	910,576	Weather prediction	[1]
AMPds	11	10,490,860	Household power	[2]
Smart Grid (SG)	5	100,000,000	Grid load	[3]
Linear Road (LR)	6	108,437,193	Traffic simulation	[4]
Computer Monitor (CM)	4	144,370,688	System monitoring	[5]

Note: Due to repository file size constraints, each dataset has been truncated to 65,535 rows to ensure fast loading and maintainability. Full datasets are available via the original sources below.

References

[1] Yu Zheng, Xiuwen Yi, Ming Li, Ruiyuan Li, Zhang Shan, Eric Chang, and Tianrui Li. 2015. Forecasting Fine-Grained Air Quality Based on Big Data. In Proceedings of the 21st ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD '15).
[2] Stephen Makonin, Bradley Ellert, Ivan V. Bajić, and Fred Popowich. 2016. Electricity, Water, and Natural Gas Consumption of a Residential House in Canada from 2012 to 2014. Scientific Data 3, Article 160037.
[3] Zbigniew Jerzak and Holger Ziekow. 2014. The DEBS 2014 Grand Challenge. In Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems (DEBS).
[4] Arvind Arasu, Mitch Cherniack, Eduardo Galvez, David Maier, Anurag S. Maskey, Esther Ryvkina, Michael Stonebraker, and Richard Tibbetts. 2004. Linear Road: A Stream Data Management Benchmark. In Proceedings of the 30th VLDB Conference, pp. 480–491.
[5] Google. 2011. More Google Cluster Data. Google AI Blog. https://ai.googleblog.com/2011/11/more-google-cluster-data.html

[azimafroozeh]

CI is failing on this PR. Could you take a look?

[yuxin370]

Hi! On macOS-15 (arm64) the job fails while installing pyarrow; this looks like an env/dependency issue.