The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
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 4 new columns ({'id', 'power_class', 'name', 'power_kw'})

This happened while the csv dataset builder was generating data using

hf://datasets/TarekMasryo/Global-EV-Charging-Stations/data/charging_stations_2025_world.csv (at revision 6efd66205fe2c3477e03674658830bf23a24bb1c)

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
              id: int64
              name: string
              city: string
              country_code: string
              state_province: string
              latitude: double
              longitude: double
              ports: int64
              power_kw: double
              power_class: string
              is_fast_dc: bool
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1529
              to
              {'city': Value('string'), 'country_code': Value('string'), 'state_province': Value('string'), 'latitude': Value('float64'), 'longitude': Value('float64'), 'ports': Value('int64'), 'is_fast_dc': Value('bool')}
              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 4 new columns ({'id', 'power_class', 'name', 'power_kw'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/TarekMasryo/Global-EV-Charging-Stations/data/charging_stations_2025_world.csv (at revision 6efd66205fe2c3477e03674658830bf23a24bb1c)
              
              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)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

city
string
country_code
string
state_province
string
latitude
float64
longitude
float64
ports
int64
is_fast_dc
bool
Andorra
AD
UNKNOWN
42.505254
1.528861
10
true
Encamp
AD
UNKNOWN
42.537213
1.727014
10
false
UNKNOWN
AD
UNKNOWN
42.576811
1.666061
1
false
UNKNOWN
AD
UNKNOWN
42.576466
1.667317
1
false
UNKNOWN
AD
UNKNOWN
42.579458
1.659215
3
false
UNKNOWN
AD
UNKNOWN
42.57807
1.64882
2
false
UNKNOWN
AD
UNKNOWN
42.58257
1.636854
3
false
UNKNOWN
AD
UNKNOWN
42.554031
1.589863
1
false
Encamp
AD
UNKNOWN
42.530853
1.600491
1
false
Encamp
AD
UNKNOWN
42.534027
1.588139
1
false
UNKNOWN
AD
UNKNOWN
42.629215
1.498094
6
false
Ordino
AD
UNKNOWN
42.5557
1.533428
1
false
La Massana
AD
UNKNOWN
42.573917
1.482224
1
false
La Massana
AD
UNKNOWN
42.551185
1.510482
4
false
La Massana
AD
UNKNOWN
42.54662
1.524825
1
false
La Massana
AD
UNKNOWN
42.531792
1.524056
4
false
les Escaldes
AD
UNKNOWN
42.513697
1.533125
1
false
les Escaldes
AD
UNKNOWN
42.507949
1.540879
2
false
les Escaldes
AD
UNKNOWN
42.510163
1.540748
2
false
les Escaldes
AD
UNKNOWN
42.509204
1.540313
2
false
les Escaldes
AD
UNKNOWN
42.509641
1.53862
4
false
Andorra la Vella
AD
UNKNOWN
42.508013
1.532927
2
false
Andorra la Vella
AD
UNKNOWN
42.509306
1.529974
1
false
Andorra la Vella
AD
UNKNOWN
42.508475
1.524948
2
true
Andorra la Vella
AD
UNKNOWN
42.503007
1.5132
1
false
UNKNOWN
AD
UNKNOWN
42.495534
1.50545
2
false
UNKNOWN
AD
UNKNOWN
42.446477
1.494454
1
false
UNKNOWN
AD
UNKNOWN
42.44192
1.50058
4
false
UNKNOWN
AD
UNKNOWN
42.439135
1.491917
1
false
UNKNOWN
AD
UNKNOWN
42.45371
1.486762
4
false
UNKNOWN
AD
UNKNOWN
42.496702
1.499028
2
false
Encamp
AD
UNKNOWN
42.531766
1.696522
10
false
Encamp
AD
UNKNOWN
42.532671
1.700021
16
true
UNKNOWN
AD
UNKNOWN
42.498835
1.508645
2
false
Andorra la Vella
AD
UNKNOWN
42.505345
1.530589
3
false
Andorra la Vella
AD
UNKNOWN
42.505005
1.528173
1
false
les Escaldes
AD
UNKNOWN
42.507375
1.534481
2
true
Andorra la Vella
AD
UNKNOWN
42.506091
1.522817
2
true
Andorra la Vella
AD
UNKNOWN
42.508629
1.523756
2
false
Andorra la Vella
AD
UNKNOWN
42.50739
1.526513
2
false
Andorra la Vella
AD
UNKNOWN
42.509338
1.533784
2
false
les Escaldes
AD
UNKNOWN
42.509995
1.535456
2
false
les Escaldes
AD
UNKNOWN
42.509591
1.539121
2
false
les Escaldes
AD
UNKNOWN
42.512098
1.55009
2
false
Encamp
AD
UNKNOWN
42.514836
1.553202
2
false
Encamp
AD
UNKNOWN
42.531779
1.575758
2
false
Encamp
AD
UNKNOWN
42.533503
1.580501
2
false
Encamp
AD
UNKNOWN
42.536644
1.583815
2
false
Canillo
AD
UNKNOWN
42.566483
1.601121
2
false
UNKNOWN
AD
UNKNOWN
42.578442
1.646408
4
false
UNKNOWN
AD
UNKNOWN
42.576997
1.666538
2
false
UNKNOWN
AD
UNKNOWN
42.575748
1.666805
4
false
UNKNOWN
AD
UNKNOWN
42.575642
1.669352
2
false
Encamp
AD
UNKNOWN
42.543322
1.73356
2
false
UNKNOWN
AD
UNKNOWN
42.63182
1.499841
2
false
UNKNOWN
AD
UNKNOWN
42.625854
1.551854
2
false
UNKNOWN
AD
UNKNOWN
42.582808
1.519418
4
false
Ordino
AD
UNKNOWN
42.572106
1.518583
4
false
Sornàs
AD
UNKNOWN
42.5639
1.527472
4
false
Ordino
AD
UNKNOWN
42.559553
1.531792
2
false
Ordino
AD
UNKNOWN
42.553512
1.531241
4
false
Ordino
AD
UNKNOWN
42.553777
1.52949
4
false
Ordino
AD
UNKNOWN
42.55662
1.535139
2
false
Ordino
AD
UNKNOWN
42.556215
1.532466
1
false
La Massana
AD
UNKNOWN
42.545445
1.518143
2
false
La Massana
AD
UNKNOWN
42.544595
1.51546
2
false
La Massana
AD
UNKNOWN
42.546907
1.514457
2
false
La Massana
AD
UNKNOWN
42.549353
1.512004
2
false
La Massana
AD
UNKNOWN
42.536231
1.491806
2
false
La Massana
AD
UNKNOWN
42.572038
1.483783
2
false
La Massana
AD
UNKNOWN
42.544781
1.453206
2
false
UNKNOWN
AD
UNKNOWN
42.448096
1.482031
15
false
Sant Julià de Lòria
AD
UNKNOWN
42.465236
1.490274
2
false
Sant Julià de Lòria
AD
UNKNOWN
42.46854
1.493076
2
false
Andorra la Vella
AD
UNKNOWN
42.508729
1.530795
4
false
Andorra la Vella
AD
UNKNOWN
42.505041
1.515253
4
true
Encamp
AD
Encamp
42.535629
1.58318
1
false
Soldeu
AD
UNKNOWN
42.575459
1.671297
3
false
El Serrat
AD
UNKNOWN
42.61977
1.540007
1
false
Escaldes
AD
UNKNOWN
42.509213
1.539297
1
false
Grau Roig
AD
UNKNOWN
42.532655
1.701198
1
false
Soldeu
AD
Canillo
42.577997
1.663842
2
false
Andorra La Vella
AD
UNKNOWN
42.509276
1.522417
1
false
El Tarter
AD
UNKNOWN
42.577795
1.650187
3
false
Escaldes-Engordany
AD
UNKNOWN
42.508714
1.534675
4
false
Andorra la Vella
AD
UNKNOWN
42.505845
1.519892
1
false
Erts
AD
UNKNOWN
42.565144
1.491052
1
false
Andorra la Vella
AD
UNKNOWN
42.506722
1.532278
1
false
Santa Coloma
AD
Andorra la Vella
42.496959
1.500966
2
false
Engordany
AD
Escaldes-Engordany
42.512114
1.533495
2
false
Escaldes-Engordany
AD
Escaldes-Engordany
42.509108
1.542121
2
false
Escaldes-Engordany
AD
Escaldes-Engordany
42.508905
1.5341
2
false
Andorra la Vella
AD
Andorra la Vella
42.506263
1.522724
2
false
Andorra la Vella
AD
Andorra la Vella
42.507497
1.53326
2
false
Encamp
AD
Encamp
42.534485
1.579488
2
false
Canillo
AD
Canillo
42.565901
1.598916
2
false
Sharjah
AE
Sharjah Emirate
25.325776
55.394672
8
true
Ras Al Khaimah
AE
UNKNOWN
25.791492
55.966309
8
true
Fujairah City
AE
Fujairah Emirate
25.156768
56.349107
8
true
Dubai
AE
UNKNOWN
25.199541
55.283352
16
true
End of preview.