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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 50 new columns ({'int_farred_vip', 'PipeGrow', 'Rhair', 'water_sup_intervals_vip_min', 'int_farred_sp', 't_rail_min_vip', 'BlackScr', 'int_blue_vip', '%time', 'int_red_sp', 'AssimLight', 'int_white_sp', 't_heat_sp', 't_rail_min_sp', 'window_pos_lee_sp', 't_ventwind_vip', 'co2_dos', 'water_sup_intervals_sp_min', 'Ventwind', 'Cum_irr', 'PipeLow', 'scr_blck_vip', 'scr_enrg_sp', 'VentLee', 'int_white_vip', 'Tair', 'int_blue_sp', 'CO2air', 't_vent_sp', 'Tot_PAR_Lamps', 't_grow_min_sp', 'dx_vip', 'scr_enrg_vip', 'pH_drain_PC', 'Tot_PAR', 'assim_sp', 'int_red_vip', 'EC_drain_PC', 'scr_blck_sp', 't_grow_min_vip', 'water_sup', 'co2_vip', 'window_pos_lee_vip', 'co2_sp', 't_heat_vip', 'dx_sp', 'assim_vip', 'EnScr', 't_ventlee_vip', 'HumDef'}) and 6 missing columns ({'stem_dens ', '%Time', 'Cum_trusses', 'Stem_thick', 'plant_dens', 'Stem_elong'}).

This happened while the csv dataset builder was generating data using

hf://datasets/koidra/GH_Tomato/GH_Tomato/AutonomousGreenhouseChallenge2019/AICU/GreenhouseClimate.csv (at revision adf82cb9295f0da23b901e4df6bd9155b502c303)

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 "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 644, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              %time: double
              AssimLight: int64
              BlackScr: int64
              CO2air: int64
              Cum_irr: double
              EC_drain_PC: double
              EnScr: int64
              HumDef: double
              PipeGrow: double
              PipeLow: double
              Rhair: double
              Tair: double
              Tot_PAR: int64
              Tot_PAR_Lamps: int64
              VentLee: int64
              Ventwind: int64
              assim_sp: string
              assim_vip: int64
              co2_dos: string
              co2_sp: string
              co2_vip: int64
              dx_sp: string
              dx_vip: double
              int_blue_sp: string
              int_blue_vip: string
              int_farred_sp: string
              int_farred_vip: string
              int_red_sp: string
              int_red_vip: string
              int_white_sp: string
              int_white_vip: string
              pH_drain_PC: double
              scr_blck_sp: string
              scr_blck_vip: int64
              scr_enrg_sp: string
              scr_enrg_vip: int64
              t_grow_min_sp: string
              t_grow_min_vip: double
              t_heat_sp: string
              t_heat_vip: double
              t_rail_min_sp: string
              t_rail_min_vip: double
              t_vent_sp: string
              t_ventlee_vip: double
              t_ventwind_vip: double
              water_sup: double
              water_sup_intervals_sp_min: string
              water_sup_intervals_vip_min: int64
              window_pos_lee_sp: string
              window_pos_lee_vip: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 6289
              to
              {'%Time': Value('int64'), 'Stem_elong': Value('string'), 'Stem_thick': Value('float64'), 'Cum_trusses': Value('float64'), 'stem_dens ': Value('float64'), 'plant_dens': Value('float64')}
              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 1456, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1055, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1833, 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 50 new columns ({'int_farred_vip', 'PipeGrow', 'Rhair', 'water_sup_intervals_vip_min', 'int_farred_sp', 't_rail_min_vip', 'BlackScr', 'int_blue_vip', '%time', 'int_red_sp', 'AssimLight', 'int_white_sp', 't_heat_sp', 't_rail_min_sp', 'window_pos_lee_sp', 't_ventwind_vip', 'co2_dos', 'water_sup_intervals_sp_min', 'Ventwind', 'Cum_irr', 'PipeLow', 'scr_blck_vip', 'scr_enrg_sp', 'VentLee', 'int_white_vip', 'Tair', 'int_blue_sp', 'CO2air', 't_vent_sp', 'Tot_PAR_Lamps', 't_grow_min_sp', 'dx_vip', 'scr_enrg_vip', 'pH_drain_PC', 'Tot_PAR', 'assim_sp', 'int_red_vip', 'EC_drain_PC', 'scr_blck_sp', 't_grow_min_vip', 'water_sup', 'co2_vip', 'window_pos_lee_vip', 'co2_sp', 't_heat_vip', 'dx_sp', 'assim_vip', 'EnScr', 't_ventlee_vip', 'HumDef'}) and 6 missing columns ({'stem_dens ', '%Time', 'Cum_trusses', 'Stem_thick', 'plant_dens', 'Stem_elong'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/koidra/GH_Tomato/GH_Tomato/AutonomousGreenhouseChallenge2019/AICU/GreenhouseClimate.csv (at revision adf82cb9295f0da23b901e4df6bd9155b502c303)
              
              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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%Time
int64
Stem_elong
string
Stem_thick
float64
Cum_trusses
float64
stem_dens
float64
plant_dens
float64
43,823
18.7
8.3
null
3.6
1.8
43,830
29.9
11.7
1.3
3.6
1.8
43,838
35.8
13.6
3.2
3.6
1.8
43,845
35.1
13.5
4.7
3.6
1.8
43,852
34.7
12.6
5.8
3.6
1.8
43,859
32.4
11.3
6.9
3.6
1.8
43,866
29.4
10.9
8.1
3.6
1.8
43,873
30.8
10.7
9.2
3.6
1.8
43,880
29.1
11.3
10.4
3.6
1.8
43,887
36.5
11.2
11.6
3.6
1.8
43,894
33.9
10.6
13.1
3.6
1.8
43,901
36.5
11.7
14.5
3.6
1.8
43,908
33.7
11.3
15.9
4.5
1.8
43,915
35.8
11.4
17.1
4.5
1.8
43,922
34.9
11.7
18.5
4.5
1.8
43,929
35.7
11.3
19.7
4.5
1.8
43,936
30.3
10.8
21.3
4.5
1.8
43,943
14
9.8
22
4.5
1.8
43,950
NaN
null
22
4.5
1.8
43,957
NaN
null
null
4.5
1.8
43,964
NaN
null
null
4.5
1.8
43,971
NaN
null
null
4.5
1.8
43,978
NaN
null
null
4.5
1.8
null
null
null
null
null
null
null
null
null
null
null
null
null
null
null
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