test

PEMS07/dataset_dict.json

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PEMS07/train/data-00000-of-00001.arrow

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PEMS07/train/dataset_info.json

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PEMS07/train/state.json

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PEMS08/dataset_dict.json

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PEMS08/train/data-00000-of-00001.arrow

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PEMS08/train/dataset_info.json

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PEMS08/train/state.json

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PEMS_BAY/dataset_dict.json

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PEMS_BAY/train/data-00000-of-00001.arrow

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PEMS_BAY/train/dataset_info.json

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+  "download_checksums": {
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PEMS_BAY/train/state.json

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+}

Q-TRAFFIC/dataset_dict.json

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Q-TRAFFIC/train/data-00000-of-00003.arrow

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Q-TRAFFIC/train/dataset_info.json

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+}

Q-TRAFFIC/train/state.json

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+}

README.md

@@ -13,6 +13,690 @@ configs:
   data_files:
   - split: train
     path: "HZMETRO/*.arrow"
+- config_name: "LOOP_SEATTLE"
+  data_files:
+  - split: train
+    path: "LOOP_SEATTLE/*.arrow"
+- config_name: "LOS_LOOP"
+  data_files:
+  - split: train
+    path: "LOS_LOOP/*.arrow"
+- config_name: "M_DENSE"
+  data_files:
+  - split: train
+    path: "M_DENSE/*.arrow"
+- config_name: "PEMS03"
+  data_files:
+  - split: train
+    path: "PEMS03/*.arrow"
+- config_name: "PEMS04"
+  data_files:
+  - split: train
+    path: "PEMS04/*.arrow"
+- config_name: "PEMS07"
+  data_files:
+  - split: train
+    path: "PEMS07/*.arrow"
+- config_name: "PEMS08"
+  data_files:
+  - split: train
+    path: "PEMS08/*.arrow"
+- config_name: "PEMS_BAY"
+  data_files:
+  - split: train
+    path: "PEMS_BAY/*.arrow"
+- config_name: "Q-TRAFFIC"
+  data_files:
+  - split: train
+    path: "Q-TRAFFIC/*.arrow"
+- config_name: "SHMETRO"
+  data_files:
+  - split: train
+    path: "SHMETRO/*.arrow"
+- config_name: "SZ_TAXI"
+  data_files:
+  - split: train
+    path: "SZ_TAXI/*.arrow"
+- config_name: "alibaba_cluster_trace_2018"
+  data_files:
+  - split: train
+    path: "alibaba_cluster_trace_2018/*.arrow"
+- config_name: "australian_electricity_demand"
+  data_files:
+  - split: train
+    path: "australian_electricity_demand/*.arrow"
+- config_name: "azure_vm_traces_2017"
+  data_files:
+  - split: train
+    path: "azure_vm_traces_2017/*.arrow"
+- config_name: "bdg-2_bear"
+  data_files:
+  - split: train
+    path: "bdg-2_bear/*.arrow"
+- config_name: "bdg-2_fox"
+  data_files:
+  - split: train
+    path: "bdg-2_fox/*.arrow"
+- config_name: "bdg-2_panther"
+  data_files:
+  - split: train
+    path: "bdg-2_panther/*.arrow"
+- config_name: "bdg-2_rat"
+  data_files:
+  - split: train
+    path: "bdg-2_rat/*.arrow"
+- config_name: "beijing_air_quality"
+  data_files:
+  - split: train
+    path: "beijing_air_quality/*.arrow"
+- config_name: "bitcoin_with_missing"
+  data_files:
+  - split: train
+    path: "bitcoin_with_missing/*.arrow"
+- config_name: "borealis"
+  data_files:
+  - split: train
+    path: "borealis/*.arrow"
+- config_name: "borg_cluster_data_2011"
+  data_files:
+  - split: train
+    path: "borg_cluster_data_2011/*.arrow"
+- config_name: "buildings_900k"
+  data_files:
+  - split: train
+    path: "buildings_900k/*.arrow"
+- config_name: "bull"
+  data_files:
+  - split: train
+    path: "bull/*.arrow"
+- config_name: "car_parts_with_missing"
+  data_files:
+  - split: train
+    path: "car_parts_with_missing/*.arrow"
+- config_name: "cdc_fluview_ilinet"
+  data_files:
+  - split: train
+    path: "cdc_fluview_ilinet/*.arrow"
+- config_name: "cdc_fluview_who_nrevss"
+  data_files:
+  - split: train
+    path: "cdc_fluview_who_nrevss/*.arrow"
+- config_name: "china_air_quality"
+  data_files:
+  - split: train
+    path: "china_air_quality/*.arrow"
+- config_name: "cif_2016_12"
+  data_files:
+  - split: train
+    path: "cif_2016_12/*.arrow"
+- config_name: "cif_2016_6"
+  data_files:
+  - split: train
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+- config_name: "cmip6"
+  data_files:
+  - split: train
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+  data_files:
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+  data_files:
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+  data_files:
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+  data_files:
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+- config_name: "cmip6_1875"
+  data_files:
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+  data_files:
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+  data_files:
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+    path: "cmip6_1885/*.arrow"
+- config_name: "cmip6_1890"
+  data_files:
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+  data_files:
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+    path: "cmip6_1895/*.arrow"
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+  data_files:
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+  data_files:
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+  data_files:
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+    path: "cmip6_1910/*.arrow"
+- config_name: "cmip6_1915"
+  data_files:
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+    path: "cmip6_1915/*.arrow"
+- config_name: "cmip6_1920"
+  data_files:
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+- config_name: "cmip6_1925"
+  data_files:
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+    path: "cmip6_1925/*.arrow"
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+  data_files:
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+  data_files:
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+  data_files:
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+  data_files:
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+  data_files:
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+    path: "cmip6_1950/*.arrow"
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+  data_files:
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+    path: "cmip6_1955/*.arrow"
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+  data_files:
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+    path: "cmip6_1960/*.arrow"
+- config_name: "cmip6_1965"
+  data_files:
+  - split: train
+    path: "cmip6_1965/*.arrow"
+- config_name: "cmip6_1970"
+  data_files:
+  - split: train
+    path: "cmip6_1970/*.arrow"
+- config_name: "cmip6_1975"
+  data_files:
+  - split: train
+    path: "cmip6_1975/*.arrow"
+- config_name: "cmip6_1980"
+  data_files:
+  - split: train
+    path: "cmip6_1980/*.arrow"
+- config_name: "cmip6_1985"
+  data_files:
+  - split: train
+    path: "cmip6_1985/*.arrow"
+- config_name: "cmip6_1990"
+  data_files:
+  - split: train
+    path: "cmip6_1990/*.arrow"
+- config_name: "cmip6_1995"
+  data_files:
+  - split: train
+    path: "cmip6_1995/*.arrow"
+- config_name: "cmip6_2000"
+  data_files:
+  - split: train
+    path: "cmip6_2000/*.arrow"
+- config_name: "cmip6_2005"
+  data_files:
+  - split: train
+    path: "cmip6_2005/*.arrow"
+- config_name: "cmip6_2010"
+  data_files:
+  - split: train
+    path: "cmip6_2010/*.arrow"
+- config_name: "cockatoo"
+  data_files:
+  - split: train
+    path: "cockatoo/*.arrow"
+- config_name: "covid19_energy"
+  data_files:
+  - split: train
+    path: "covid19_energy/*.arrow"
+- config_name: "covid_deaths"
+  data_files:
+  - split: train
+    path: "covid_deaths/*.arrow"
+- config_name: "covid_mobility"
+  data_files:
+  - split: train
+    path: "covid_mobility/*.arrow"
+- config_name: "elecdemand"
+  data_files:
+  - split: train
+    path: "elecdemand/*.arrow"
+- config_name: "elf"
+  data_files:
+  - split: train
+    path: "elf/*.arrow"
+- config_name: "era5"
+  data_files:
+  - split: train
+    path: "era5_*/*.arrow"
+- config_name: "era5_1989"
+  data_files:
+  - split: train
+    path: "era5_1989/*.arrow"
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+  data_files:
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+    path: "era5_1990/*.arrow"
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+  data_files:
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+  data_files:
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+  data_files:
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+    path: "era5_2008/*.arrow"
+- config_name: "era5_2009"
+  data_files:
+  - split: train
+    path: "era5_2009/*.arrow"
+- config_name: "era5_2010"
+  data_files:
+  - split: train
+    path: "era5_2010/*.arrow"
+- config_name: "era5_2011"
+  data_files:
+  - split: train
+    path: "era5_2011/*.arrow"
+- config_name: "era5_2012"
+  data_files:
+  - split: train
+    path: "era5_2012/*.arrow"
+- config_name: "era5_2013"
+  data_files:
+  - split: train
+    path: "era5_2013/*.arrow"
+- config_name: "era5_2014"
+  data_files:
+  - split: train
+    path: "era5_2014/*.arrow"
+- config_name: "era5_2015"
+  data_files:
+  - split: train
+    path: "era5_2015/*.arrow"
+- config_name: "era5_2016"
+  data_files:
+  - split: train
+    path: "era5_2016/*.arrow"
+- config_name: "era5_2017"
+  data_files:
+  - split: train
+    path: "era5_2017/*.arrow"
+- config_name: "era5_2018"
+  data_files:
+  - split: train
+    path: "era5_2018/*.arrow"
+- config_name: "extended_web_traffic_with_missing"
+  data_files:
+  - split: train
+    path: "extended_web_traffic_with_missing/*.arrow"
+- config_name: "favorita_sales"
+  data_files:
+  - split: train
+    path: "favorita_sales/*.arrow"
+- config_name: "favorita_transactions"
+  data_files:
+  - split: train
+    path: "favorita_transactions/*.arrow"
+- config_name: "fred_md"
+  data_files:
+  - split: train
+    path: "fred_md/*.arrow"
+- config_name: "gfc12_load"
+  data_files:
+  - split: train
+    path: "gfc12_load/*.arrow"
+- config_name: "gfc14_load"
+  data_files:
+  - split: train
+    path: "gfc14_load/*.arrow"
+- config_name: "gfc17_load"
+  data_files:
+  - split: train
+    path: "gfc17_load/*.arrow"
+- config_name: "godaddy"
+  data_files:
+  - split: train
+    path: "godaddy/*.arrow"
+- config_name: "hierarchical_sales"
+  data_files:
+  - split: train
+    path: "hierarchical_sales/*.arrow"
+- config_name: "hog"
+  data_files:
+  - split: train
+    path: "hog/*.arrow"
+- config_name: "hospital"
+  data_files:
+  - split: train
+    path: "hospital/*.arrow"
+- config_name: "ideal"
+  data_files:
+  - split: train
+    path: "ideal/*.arrow"
+- config_name: "kaggle_web_traffic_weekly"
+  data_files:
+  - split: train
+    path: "kaggle_web_traffic_weekly/*.arrow"
+- config_name: "kdd2022"
+  data_files:
+  - split: train
+    path: "kdd2022/*.arrow"
+- config_name: "kdd_cup_2018_with_missing"
+  data_files:
+  - split: train
+    path: "kdd_cup_2018_with_missing/*.arrow"
+- config_name: "largest"
+  data_files:
+  - split: train
+    path: "largest_*/*.arrow"
+- config_name: "largest_2017"
+  data_files:
+  - split: train
+    path: "largest_2017/*.arrow"
+- config_name: "largest_2018"
+  data_files:
+  - split: train
+    path: "largest_2018/*.arrow"
+- config_name: "largest_2019"
+  data_files:
+  - split: train
+    path: "largest_2019/*.arrow"
+- config_name: "largest_2020"
+  data_files:
+  - split: train
+    path: "largest_2020/*.arrow"
+- config_name: "largest_2021"
+  data_files:
+  - split: train
+    path: "largest_2021/*.arrow"
+- config_name: "lcl"
+  data_files:
+  - split: train
+    path: "lcl/*.arrow"
+- config_name: "london_smart_meters_with_missing"
+  data_files:
+  - split: train
+    path: "london_smart_meters_with_missing/*.arrow"
+- config_name: "m1_monthly"
+  data_files:
+  - split: train
+    path: "m1_monthly/*.arrow"
+- config_name: "m1_quarterly"
+  data_files:
+  - split: train
+    path: "m1_quarterly/*.arrow"
+- config_name: "m1_yearly"
+  data_files:
+  - split: train
+    path: "m1_yearly/*.arrow"
+- config_name: "m4_daily"
+  data_files:
+  - split: train
+    path: "m4_daily/*.arrow"
+- config_name: "m4_hourly"
+  data_files:
+  - split: train
+    path: "m4_hourly/*.arrow"
+- config_name: "m4_monthly"
+  data_files:
+  - split: train
+    path: "m4_monthly/*.arrow"
+- config_name: "m4_quarterly"
+  data_files:
+  - split: train
+    path: "m4_quarterly/*.arrow"
+- config_name: "m4_weekly"
+  data_files:
+  - split: train
+    path: "m4_weekly/*.arrow"
+- config_name: "m4_yearly"
+  data_files:
+  - split: train
+    path: "m4_yearly/*.arrow"
+- config_name: "m5"
+  data_files:
+  - split: train
+    path: "m5/*.arrow"
+- config_name: "monash_m3_monthly"
+  data_files:
+  - split: train
+    path: "monash_m3_monthly/*.arrow"
+- config_name: "monash_m3_other"
+  data_files:
+  - split: train
+    path: "monash_m3_other/*.arrow"
+- config_name: "monash_m3_quarterly"
+  data_files:
+  - split: train
+    path: "monash_m3_quarterly/*.arrow"
+- config_name: "monash_m3_yearly"
+  data_files:
+  - split: train
+    path: "monash_m3_yearly/*.arrow"
+- config_name: "nn5_daily_with_missing"
+  data_files:
+  - split: train
+    path: "nn5_daily_with_missing/*.arrow"
+- config_name: "nn5_weekly"
+  data_files:
+  - split: train
+    path: "nn5_weekly/*.arrow"
+- config_name: "oikolab_weather"
+  data_files:
+  - split: train
+    path: "oikolab_weather/*.arrow"
+- config_name: "pdb"
+  data_files:
+  - split: train
+    path: "pdb/*.arrow"
+- config_name: "pedestrian_counts"
+  data_files:
+  - split: train
+    path: "pedestrian_counts/*.arrow"
+- config_name: "project_tycho"
+  data_files:
+  - split: train
+    path: "project_tycho/*.arrow"
+- config_name: "residential_load_power"
+  data_files:
+  - split: train
+    path: "residential_load_power/*.arrow"
+- config_name: "residential_pv_power"
+  data_files:
+  - split: train
+    path: "residential_pv_power/*.arrow"
+- config_name: "restaurant"
+  data_files:
+  - split: train
+    path: "restaurant/*.arrow"
+- config_name: "rideshare_with_missing"
+  data_files:
+  - split: train
+    path: "rideshare_with_missing/*.arrow"
+- config_name: "saugeenday"
+  data_files:
+  - split: train
+    path: "saugeenday/*.arrow"
+- config_name: "sceaux"
+  data_files:
+  - split: train
+    path: "sceaux/*.arrow"
+- config_name: "smart"
+  data_files:
+  - split: train
+    path: "smart/*.arrow"
+- config_name: "solar_power"
+  data_files:
+  - split: train
+    path: "solar_power/*.arrow"
+- config_name: "spain"
+  data_files:
+  - split: train
+    path: "spain/*.arrow"
+- config_name: "subseasonal"
+  data_files:
+  - split: train
+    path: "subseasonal/*.arrow"
+- config_name: "subseasonal_precip"
+  data_files:
+  - split: train
+    path: "subseasonal_precip/*.arrow"
+- config_name: "sunspot_with_missing"
+  data_files:
+  - split: train
+    path: "sunspot_with_missing/*.arrow"
+- config_name: "taxi_30min"
+  data_files:
+  - split: train
+    path: "taxi_30min/*.arrow"
+- config_name: "temperature_rain_with_missing"
+  data_files:
+  - split: train
+    path: "temperature_rain_with_missing/*.arrow"
+- config_name: "tourism_monthly"
+  data_files:
+  - split: train
+    path: "tourism_monthly/*.arrow"
+- config_name: "tourism_quarterly"
+  data_files:
+  - split: train
+    path: "tourism_quarterly/*.arrow"
+- config_name: "tourism_yearly"
+  data_files:
+  - split: train
+    path: "tourism_yearly/*.arrow"
+- config_name: "traffic_hourly"
+  data_files:
+  - split: train
+    path: "traffic_hourly/*.arrow"
+- config_name: "traffic_weekly"
+  data_files:
+  - split: train
+    path: "traffic_weekly/*.arrow"
+- config_name: "uber_tlc_daily"
+  data_files:
+  - split: train
+    path: "uber_tlc_daily/*.arrow"
+- config_name: "uber_tlc_hourly"
+  data_files:
+  - split: train
+    path: "uber_tlc_hourly/*.arrow"
+- config_name: "us_births"
+  data_files:
+  - split: train
+    path: "us_births/*.arrow"
+- config_name: "vehicle_trips_with_missing"
+  data_files:
+  - split: train
+    path: "vehicle_trips_with_missing/*.arrow"
+- config_name: "weather"
+  data_files:
+  - split: train
+    path: "weather/*.arrow"
+- config_name: "wiki-rolling_nips"
+  data_files:
+  - split: train
+    path: "wiki-rolling_nips/*.arrow"
+- config_name: "wind_farms_with_missing"
+  data_files:
+  - split: train
+    path: "wind_farms_with_missing/*.arrow"
+- config_name: "wind_power"
+  data_files:
+  - split: train
+    path: "wind_power/*.arrow"
 ---
 # NetMan Time Series Repo
-The Netman Time Series Repo is a collection of open time series datasets for time series forecasting. It was collected for the purpose of pre-training Large Time Series Models.
+The NetMan Time Series Repo is a collection of open time series datasets for time series forecasting. It was collected for the purpose of pre-training Large Time Series Models.

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