metadata
license: apache-2.0
configs:
- config_name: default
data_files:
- split: train
path: '*/*.arrow'
- config_name: BEIJING_SUBWAY_30MIN
data_files:
- split: train
path: BEIJING_SUBWAY_30MIN/*.arrow
- config_name: HZMETRO
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
path: cif_2016_6/*.arrow
- config_name: cmip6
data_files:
- split: train
path: cmip6_*/*.arrow
- config_name: cmip6_1850
data_files:
- split: train
path: cmip6_1850/*.arrow
- config_name: cmip6_1855
data_files:
- split: train
path: cmip6_1855/*.arrow
- config_name: cmip6_1860
data_files:
- split: train
path: cmip6_1860/*.arrow
- config_name: cmip6_1865
data_files:
- split: train
path: cmip6_1865/*.arrow
- config_name: cmip6_1870
data_files:
- split: train
path: cmip6_1870/*.arrow
- config_name: cmip6_1875
data_files:
- split: train
path: cmip6_1875/*.arrow
- config_name: cmip6_1880
data_files:
- split: train
path: cmip6_1880/*.arrow
- config_name: cmip6_1885
data_files:
- split: train
path: cmip6_1885/*.arrow
- config_name: cmip6_1890
data_files:
- split: train
path: cmip6_1890/*.arrow
- config_name: cmip6_1895
data_files:
- split: train
path: cmip6_1895/*.arrow
- config_name: cmip6_1900
data_files:
- split: train
path: cmip6_1900/*.arrow
- config_name: cmip6_1905
data_files:
- split: train
path: cmip6_1905/*.arrow
- config_name: cmip6_1910
data_files:
- split: train
path: cmip6_1910/*.arrow
- config_name: cmip6_1915
data_files:
- split: train
path: cmip6_1915/*.arrow
- config_name: cmip6_1920
data_files:
- split: train
path: cmip6_1920/*.arrow
- config_name: cmip6_1925
data_files:
- split: train
path: cmip6_1925/*.arrow
- config_name: cmip6_1930
data_files:
- split: train
path: cmip6_1930/*.arrow
- config_name: cmip6_1935
data_files:
- split: train
path: cmip6_1935/*.arrow
- config_name: cmip6_1940
data_files:
- split: train
path: cmip6_1940/*.arrow
- config_name: cmip6_1945
data_files:
- split: train
path: cmip6_1945/*.arrow
- config_name: cmip6_1950
data_files:
- split: train
path: cmip6_1950/*.arrow
- config_name: cmip6_1955
data_files:
- split: train
path: cmip6_1955/*.arrow
- config_name: cmip6_1960
data_files:
- split: train
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
- config_name: era5_1990
data_files:
- split: train
path: era5_1990/*.arrow
- config_name: era5_1991
data_files:
- split: train
path: era5_1991/*.arrow
- config_name: era5_1992
data_files:
- split: train
path: era5_1992/*.arrow
- config_name: era5_1993
data_files:
- split: train
path: era5_1993/*.arrow
- config_name: era5_1994
data_files:
- split: train
path: era5_1994/*.arrow
- config_name: era5_1995
data_files:
- split: train
path: era5_1995/*.arrow
- config_name: era5_1996
data_files:
- split: train
path: era5_1996/*.arrow
- config_name: era5_1997
data_files:
- split: train
path: era5_1997/*.arrow
- config_name: era5_1998
data_files:
- split: train
path: era5_1998/*.arrow
- config_name: era5_1999
data_files:
- split: train
path: era5_1999/*.arrow
- config_name: era5_2000
data_files:
- split: train
path: era5_2000/*.arrow
- config_name: era5_2001
data_files:
- split: train
path: era5_2001/*.arrow
- config_name: era5_2002
data_files:
- split: train
path: era5_2002/*.arrow
- config_name: era5_2003
data_files:
- split: train
path: era5_2003/*.arrow
- config_name: era5_2004
data_files:
- split: train
path: era5_2004/*.arrow
- config_name: era5_2005
data_files:
- split: train
path: era5_2005/*.arrow
- config_name: era5_2006
data_files:
- split: train
path: era5_2006/*.arrow
- config_name: era5_2007
data_files:
- split: train
path: era5_2007/*.arrow
- config_name: era5_2008
data_files:
- split: train
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.