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license: apache-2.0 |
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task_categories: |
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- time-series-forecasting |
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### TSFM-ScalingLaws-Dataset |
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This is the dataset for the paper [Towards Neural Scaling Laws for Time Series Foundation Models](https://arxiv.org/abs/2410.12360). |
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Code: https://github.com/Qingrenn/TSFM-ScalingLaws |
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Well-trained models: https://huggingface.co/PeacefulData/TSFM-ScalingLaws-Checkpoints |
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### Dataset Summary |
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|Domain|Transport|Climate|Energy|Cloud|Health|Sales|Web|Total |
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|------|------|---------|-----------|----------|----------|----------|----------|----------| |
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|Datasets|8|2|14|3|9|1|2|39| |
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|Time Points|4.82B|4.73B|4.76B|2.15B|232M|140M|40M|16.8B| |
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|Proportion|28.52%|28.06%|28.21%|12.76%|1.38%|0.83%|0.24%|100%| |
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### Dataset Details |
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|Dataset|Domain|Timepoint|SequenceNum|Proportion| |
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|------|------|---------|-----------|----------| |
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|cmip6_1850|Climate|1435238400|196608|0.085| |
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|cmip6_1855|Climate|1435238400|196608|0.085| |
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|era5_1990|Climate|930349056|106496|0.055| |
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|era5_1989|Climate|930349056|106496|0.055| |
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|azure_vm_traces_2017|Cloud|885522908|159472|0.052| |
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|alibaba_cluster_trace_2018|Cloud|190385060|116818|0.011| |
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|borg_cluster_data_2011|Cloud|1075105708|286772|0.063| |
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|PEMS07|Energy|24921792|883|0.0014| |
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|elf|Energy|21792|1|1.29e-06| |
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|bdg-2_panther|Energy|919800|105|5.45e-05| |
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|buildings_900k|Energy|4718473097|538577|0.27| |
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|solar_power|Energy|7397222|1|0.00043| |
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|gfc17_load|Energy|140352|8|8.32e-06| |
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|gfc14_load|Energy|17520|1|1.039-06| |
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|bdg-2_bear|Energy|1482312|91|8.79e-05| |
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|bdg-2_fox|Energy|2324568|135|0.00013| |
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|elecdemand|Energy|17520|1|1.039e-06| |
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|covid19_energy|Energy|31912|1|1.89e-06| |
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|spain|Energy|35064|1|2.079e-06| |
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|australian_electricity_demand|Energy|1153584|5|6.84e-05| |
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|pdb|Energy|17520|1|1.039e-06| |
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|sceaux|Energy|34223|1|2.029e-06| |
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|AtrialFibrillation|Health|38400|60|2.27e-06| |
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|SelfRegulationSCP2|Health|3064320|2660|0.00018| |
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|SelfRegulationSCP1|Health|3015936|3366|0.00017| |
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|IEEEPPG|Health|15480000|15480|0.00091| |
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|TDBrain|Health|73299996|28644|0.0043| |
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|BIDMC32HR|Health|63592000|15898|0.0037| |
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|PigCVP|Health|624000|312|3.7009e-05| |
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|PigArtPressure|Health|624000|312|3.7009e-05| |
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|MotorImagery|Health|72576000|24192|0.0043| |
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|favorita_sales|Sales|139179538|111840|0.0082| |
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|largest_2019|Transport|904032000|8600|0.053| |
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|largest_2021|Transport|898565760|8548|0.053| |
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|PEMS04|Transport|15649632|921|0.00092| |
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|largest_2020|Transport|902397888|8561|0.053| |
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|largest_2017|Transport|861563520|8196|0.051| |
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|PEMS_BAY|Transport|16941600|325|0.0010| |
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|traffic_weekly|Transport|82752|862|4.90e-06| |
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|Q-TRAFFIC|Transport|264386688|45148|0.015| |
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|largest_2018|Transport|885951360|8428|0.052| |
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|LOOP_SEATTLE|Transport|33953760|323|0.0020| |
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|PEMS08|Transport|9106560|510|0.00054| |
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|kaggle_web_traffic_weekly|Web|16537182|145063|0.00098| |
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|wiki-rolling_nips|Web|40619100|47675|0.0024| |
