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AIsekai
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OptimizePrime

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The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 1 new columns ({'ingestion_id;date_key;device_screen_name;start_time_key;end_time_key;start_timestamp_utc;end_timestamp_utc;start_date;end_date;distance_trip_miles;start_post_code;end_post_code'}) and 1 missing columns ({'ingestion_id;charger_id;transaction_id;start_date_time;end_date_time;charge_duration;charge_duration_minutes;total_kwh;plug_duration;plug_duration_minutes'}).

This happened while the csv dataset builder was generating data using

hf://datasets/AIsekai/OptimizePrime/WS1/Table 07 – bg-trips/bg_trips_201808.csv (at revision 7647ea70f09ada0555a073b076789568792c34ca), ['hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202012.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202208.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201808.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201809.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201810.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201811.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201812.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201901.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201902.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201903.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201904.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201905.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201906.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201907.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201908.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201909.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201910.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201911.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201912.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202001.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202002.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202003.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202004.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202005.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202006.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202007.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202008.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202009.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202010.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202011.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202012.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202101.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202102.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202103.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202104.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202105.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – 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'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – evehicles/evehicles_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 14 – 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'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202101.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202102.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202103.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202104.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202105.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 15 – brand-a-charging/brand_a_charging_202107.csv', 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profiled-connections/profiled_connections_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202208.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 27 – depot load data table/depot_load.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 28 – EV details by site /ev_detail_by_site.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 29 – CP count /cp_counts.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 30 – enacted flexibility product A/enacted_flexibility_product_a.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 31 – enacted flexibility product B/enacted_flexibility_product_b.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 32 – load profile data table/load_profiles_dataset.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS3/Table 33 – network_impact_by_borough/mixed_trials_network_impact_by_borough_dataset.csv']

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              ingestion_id;date_key;device_screen_name;start_time_key;end_time_key;start_timestamp_utc;end_timesta (... 76 chars omitted): string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 715
              to
              {'ingestion_id;charger_id;transaction_id;start_date_time;end_date_time;charge_duration;charge_duration_minutes;total_kwh;plug_duration;plug_duration_minutes': Value('string')}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 1 new columns ({'ingestion_id;date_key;device_screen_name;start_time_key;end_time_key;start_timestamp_utc;end_timestamp_utc;start_date;end_date;distance_trip_miles;start_post_code;end_post_code'}) and 1 missing columns ({'ingestion_id;charger_id;transaction_id;start_date_time;end_date_time;charge_duration;charge_duration_minutes;total_kwh;plug_duration;plug_duration_minutes'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/AIsekai/OptimizePrime/WS1/Table 07 – bg-trips/bg_trips_201808.csv (at revision 7647ea70f09ada0555a073b076789568792c34ca), ['hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202012.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 06 – bg-fleet-charging/bg_fleet_charging_202208.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201808.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201809.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201810.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201811.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201812.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201901.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201902.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201903.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201904.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201905.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201906.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201907.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201908.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201909.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201910.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201911.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_201912.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202001.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202002.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202003.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202004.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202005.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202006.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202007.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202008.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202009.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202010.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202011.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202012.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202101.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202102.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202103.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202104.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202105.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202208.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 07 – bg-trips/bg_trips_202209.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS1/Table 8 – aggregated shift telematics data/aggregated_shift_telematics_centrica.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 10 – depots/depots_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 11 – cptypes/cptypes_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 12 – chargepoints/chargepoints_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 13 – evtypes/evtypes_202107.csv', 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& 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220814.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220815.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220816.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220817.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220818.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220819.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220820.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220821.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220822.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220823.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220824.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220825.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220826.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220827.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220828.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220829.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220830.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220831.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220901.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220902.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220903.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220904.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220905.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220906.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220907.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 21 & 22 – nortech-ihost-measurements/nortech_ihost_measurements_20220908.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202103.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202106.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 23 – profiled-connections/profiled_connections_202208.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 24 – time-of-use-throttlling/time_of_use_throttlling_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202107.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 25 – planned-flexibility-events/planned_flexibility_events_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202108.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202109.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202110.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202111.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202112.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202201.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202202.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202203.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202204.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202205.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202206.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 26 – flexibility-dispatches/flexibility_dispatches_202207.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 27 – depot load data table/depot_load.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 28 – EV details by site /ev_detail_by_site.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 29 – CP count /cp_counts.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 30 – enacted flexibility product A/enacted_flexibility_product_a.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 31 – enacted flexibility product B/enacted_flexibility_product_b.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS2/Table 32 – load profile data table/load_profiles_dataset.csv', 'hf://datasets/AIsekai/OptimizePrime@7647ea70f09ada0555a073b076789568792c34ca/WS3/Table 33 – network_impact_by_borough/mixed_trials_network_impact_by_borough_dataset.csv']
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

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End of preview.

YAML Metadata Warning:empty or missing yaml metadata in repo card

Check out the documentation for more information.

Optimize Prime Dataset

# Optimise Prime Dataset Mirror

Independent mirror of the public Optimise Prime release from UK Power Networks.

Important Attribution

This repository mirrors the publicly released Optimise Prime dataset only.

Original source: UK Power Networks, Project Optimise Prime - Commercial Electric Vehicles Trial
Original dataset page: https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-optimise-prime/
License: CC BY 4.0
Attribution required: Yes
Mirror type: Public-release mirror

This mirror does not include proprietary credentials, private companion files, or SAS tokens.

Disclaimer
This is an independent mirror for research and data access convenience.
It is not an official UK Power Networks repository, and UK Power Networks does not endorse this mirror.

Overview

This dataset comes from Optimise Prime, a major UK trial focused on the impact of commercial EVs on distribution networks.

The public release is organized into three workstreams:

  • WS1 — home charging / return-to-home fleet trial
  • WS2 — depot charging trial
  • WS3 — mixed / PHV network-impact modelling

For most grid, charging, and smart-control research, WS2 is the core part.
It contains the depot-side ecosystem: depots, charge points, EV and EV type records, building-load data, telematics, charger / iHost measurements, and smart-charging or flexibility configuration tables.

This mirror is meant to make the public release easier to access, browse, and use in research workflows.

What This Mirror Contains

This repository contains the public Optimise Prime release only.

It includes large CSV collections organized by workstream and table, usually split by month or day depending on data volume.

The mirror covers data such as:

  • depot asset records
  • charge point and charge point type records
  • EV and EV type records
  • charging and telematics data
  • building load data
  • charger / iHost measurements
  • profiled connection data
  • flexibility planning and dispatch data
  • summary and derived public tables released with the project

It does not include confidential, personally identifiable, or third-party licensed data that were excluded from the original public publication.

Mirror Statistics

  • Total files: 1,014
  • Approximate total size: 156,923.39 MB
  • Approximate size in GB: 156.92 GB
  • Workstreams included: WS1, WS2, WS3

Note
Some hosting platforms may show a different total repository size because of chunking, storage accounting, cached revisions, or backend compression.

Recommended Starting Point

If you are new to the dataset, start with these WS2 tables first:

  • Table 10 — depots
  • Table 12 — chargepoints
  • Table 14 — evehicles
  • Table 19 — building-load-measures
  • Table 21 / 22 — nortech-ihost-measurements
  • Table 23 — profiled-connections
  • Table 25 — planned-flexibility-events
  • Table 26 — flexibility-dispatches
  • Table 27 — depot load data table
  • Table 32 — load profile data table

That gives the cleanest entry point into the depot-side EV + site load + smart-charging part of the release.

Repository Structure 

optimise-prime/
├── WS1/
│   ├── Table 06 – bg-fleet-charging/
│   ├── Table 07 – bg-trips/
│   └── Table 08 – aggregated shift telematics data/
├── WS2/
│   ├── Table 10 – depots/
│   ├── Table 11 – cptypes/
│   ├── Table 12 – chargepoints/
│   ├── Table 13 – evtypes/
│   ├── Table 14 – evehicles/
│   ├── Table 15 – brand-a-*/
│   ├── Table 16 – brand-b-measures/
│   ├── Table 17 – brand-b-measures/
│   ├── Table 18 – brand-c-ev/
│   ├── Table 19 – building-load-measures/
│   ├── Table 20 – building-catalog/
│   ├── Table 21 – nortech-ihost-measurements/
│   ├── Table 22 – nortech-ihost-measurements/
│   ├── Table 23 – profiled-connections/
│   ├── Table 24 – time-of-use-throttling/
│   ├── Table 25 – planned-flexibility-events/
│   ├── Table 26 – flexibility-dispatches/
│   ├── Table 27 – depot load data table/
│   ├── Table 28 – EV details by site/
│   ├── Table 29 – CP count/
│   ├── Table 30 – enacted flexibility product A/
│   ├── Table 31 – enacted flexibility product B/
│   └── Table 32 – load profile data table/
└── WS3/
    └── Table 33 – network_impact_by_borough/

Usage

Load with Hugging Face Datasets 

from datasets import load_dataset

dataset = load_dataset("<AIsekai/OptimizePrime>")

Load files directly with pandas 

import pandas as pd

df = pd.read_csv("WS2/Table 10 – depots/depots_202111.csv")

Practical Note

Some tables are very large. For serious work, use tools such as:

  • pandas / polars
  • DuckDB
  • PyArrow
  • Dask / Spark
  • SQL-based ingestion pipelines

Do not expect the full release to open comfortably in Excel.

What This Dataset Is Good For

This dataset is especially useful for:

  • commercial EV charging research
  • depot smart charging
  • flexibility and profiled-connection studies
  • EV fleet load modelling
  • building-load and EV-load interaction
  • UK distribution-network impact studies
  • forecasting, optimisation, and control workflows

Limitations

This mirror reflects the public release only.

That means some information used in the original project is not included here, especially where data was:

  • commercially confidential
  • potentially personally identifiable
  • licensed from third parties

So this repository is strong for research, but it is not the full private internal project dataset.

License

License: CC BY 4.0
License URL: https://creativecommons.org/licenses/by/4.0/

You may share and adapt the material, provided that proper attribution is given.

Required Attribution

Please attribute the original source as:

UK Power Networks, Project Optimise Prime - Commercial Electric Vehicles Trial
Original dataset page: https://ukpowernetworks.opendatasoft.com/explore/dataset/ukpn-optimise-prime/
License: CC BY 4.0

If you use this mirror in research, papers, reports, or derivative datasets, please also mention that this repository is an independent mirror of the public release.

Citation

Suggested citation:

UK Power Networks. Project Optimise Prime - Commercial Electric Vehicles Trial.
Public dataset release via UK Power Networks Open Data Portal.
License: CC BY 4.0.
Mirrored in this repository from the public release.

Contact

For questions about the original dataset, use the UK Power Networks Open Data Portal and its listed contact route.

For issues with this mirror such as missing files, path errors, or repository organization, please open an issue in this repository.
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