for ds in us_births saugeenday sunspot_with_missing temperature_rain_with_missing covid_deaths hospital rideshare_with_missing traffic_weekly traffic_hourly fred_md car_parts_with_missing electricity_weekly electricity_hourly solar_weekly solar_10_minutes nn5_weekly nn5_daily_with_missing weather kdd_cup_2018_with_missing vehicle_trips_with_missing pedestrian_counts bitcoin_with_missing dominick australian_electricity_demand cif_2016_12 cif_2016_6 tourism_monthly tourism_quarterly m4_hourly m4_daily m4_weekly m4_monthly monash_m3_other monash_m3_monthly m1_monthly m1_yearly monash_m3_yearly m4_yearly tourism_yearly m1_quarterly monash_m3_quarterly m4_quarterly kaggle_web_traffic_weekly kaggle_web_traffic_with_missing bitcoin car_parts_without_missing nn5_daily_without_missing kaggle_web_traffic_without_missing vehicle_trips_without_missing temperature_rain_without_missing sunspot_without_missing rideshare_without_missing kdd_cup_2018_without_missing
do
  python run_timesfm.py --dataset=${ds}  --run_name=timesfm --save_dir=monash_results --test_setting=monash --model=timesfm
done