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Datasets:
nju-zhangsq
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RMISC

Tasks:
Time Series Forecasting
Modalities:
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Formats:
parquet
Size:
10B - 100B
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Tags:
time series
multivariate time series
multivariate time series foundation model
Libraries:
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+ @inproceedings{Nguyen2023ClimateLearn,
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+ author = {Nguyen, Tung and Jewik, Jason Kyle and Bansal, Hritik and Sharma, Prakhar and Grover, Aditya},
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+ title = {ClimateLearn: {B}enchmarking Machine Learning for Weather and Climate Modeling},
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+ booktitle = {Advances in Neural Information Processing Systems 37},
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+ year = {2023}
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+ }
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+ "desp": "This dataset collects the traffic speed data for the same area and during the same time period as the query sub-dataset. This sub-dataset contains 15,073 road segments covering approximately 738.91 km. To make the traffic speed predictable, for each road segment, the dataset uses simple moving average with a 15-minute time window to smooth the traffic speed sub-dataset and sample the traffic speed per 15 minutes.",
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+ @inproceedings{bbliaojqZhangKDD18deep,
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+ title = {Deep Sequence Learning with Auxiliary Information for Traffic Prediction},
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+ author = {Binbing Liao and Jingqing Zhang and Chao Wu and Douglas McIlwraith and Tong Chen and Shengwen Yang and Yike Guo and Fei Wu},
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+ booktitle = {Proceedings of the 24th ACM International Conference on Knowledge Discovery and Data Mining},
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+ pages = {537--546},
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+ year = {2018}
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+ }
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