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README.md
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@@ -26,27 +26,7 @@ This checkpoint is not an officially supported Google product. See [TimesFM in B
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`timesfm-2.5-200m` is pretrained using
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- residential_load_power
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- residential_pv_power
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- wind_farms_with_missing
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- solar_power
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- wind_power
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- LOS_LOOP
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- PEMS*
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- alibaba_cluster_trace_2018
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- azure_vm_traces_2017
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- borg_cluster_data_2011
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- kdd2022
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- HZMETRO
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- Q-TRAFFIC
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- SHMETRO
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- BEIJING_SUBWAY_30MIN
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- australian_electricity_demand
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- elecdemand
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- london_smart_meters_with_missing
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- taxi_30min
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- largest*
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- [Wikimedia Pageviews](https://meta.wikimedia.org/wiki/Pageviews_Analysis), cutoff Nov 2023 (see [paper](https://arxiv.org/abs/2310.10688) for details).
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- [Google Trends](https://trends.google.com/trends/) top queries, cutoff EoY 2022 (see [paper](https://arxiv.org/abs/2310.10688) for details).
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- Synthetic and augmented data.
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`timesfm-2.5-200m` is pretrained using
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- [GiftEvalPretrain](https://huggingface.co/datasets/Salesforce/GiftEvalPretrain)
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- [Wikimedia Pageviews](https://meta.wikimedia.org/wiki/Pageviews_Analysis), cutoff Nov 2023 (see [paper](https://arxiv.org/abs/2310.10688) for details).
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- [Google Trends](https://trends.google.com/trends/) top queries, cutoff EoY 2022 (see [paper](https://arxiv.org/abs/2310.10688) for details).
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- Synthetic and augmented data.
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