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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 3 new columns ({'EventDate', 'Year', 'GrandPrix'})

This happened while the csv dataset builder was generating data using

hf://datasets/Vadera007/Formula_1_Dataset/f1_historical_data.csv (at revision c16d684ec5f2d7e731872dad3d1e73a097350758)

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
              Driver: string
              Team: string
              AvgLapTime: double
              LapsCompleted: int64
              AirTemp: double
              TrackTemp: double
              Rainfall: bool
              QualiPosition: double
              RaceFinishPosition: double
              Year: int64
              GrandPrix: string
              EventDate: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1676
              to
              {'Driver': Value('string'), 'Team': Value('string'), 'AvgLapTime': Value('float64'), 'LapsCompleted': Value('int64'), 'AirTemp': Value('float64'), 'TrackTemp': Value('float64'), 'Rainfall': Value('bool'), 'QualiPosition': Value('float64'), 'RaceFinishPosition': 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 3 new columns ({'EventDate', 'Year', 'GrandPrix'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Vadera007/Formula_1_Dataset/f1_historical_data.csv (at revision c16d684ec5f2d7e731872dad3d1e73a097350758)
              
              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.

Driver
string
Team
string
AvgLapTime
float64
LapsCompleted
int64
AirTemp
float64
TrackTemp
float64
Rainfall
bool
QualiPosition
float64
RaceFinishPosition
float64
VER
Red Bull Racing
90.35075
15
24.7
29.8
false
1
1
PER
Red Bull Racing
90.5505
15
24.7
29.8
false
2
2
LEC
Ferrari
98.9058
17
24.7
29.8
false
3
19
SAI
Ferrari
90.982333
18
24.7
29.8
false
4
4
ALO
Aston Martin
90.8922
15
24.7
29.8
false
5
3
RUS
Mercedes
90.9416
15
24.7
29.8
false
6
7
HAM
Mercedes
90.999
15
24.7
29.8
false
7
5
STR
Aston Martin
91.499167
18
24.7
29.8
false
8
6
OCO
Alpine
91.4922
15
24.7
29.8
false
9
18
HUL
Haas F1 Team
91.472
17
24.7
29.8
false
10
15
NOR
McLaren
91.94475
13
24.7
29.8
false
11
17
BOT
Alfa Romeo
91.76725
12
24.7
29.8
false
12
8
ZHO
Alfa Romeo
91.817
12
24.7
29.8
false
13
16
TSU
AlphaTauri
92.1018
15
24.7
29.8
false
14
11
ALB
Williams
91.7775
8
24.7
29.8
false
15
10
SAR
Williams
92.1625
6
24.7
29.8
false
16
12
MAG
Haas F1 Team
91.981
6
24.7
29.8
false
17
13
PIA
McLaren
92.367
7
24.7
29.8
false
18
20
DEV
AlphaTauri
92.416333
9
24.7
29.8
false
19
14
GAS
Alpine
91.9995
6
24.7
29.8
false
20
9
VER
Red Bull Racing
90.35075
15
24.7
29.8
false
1
1
PER
Red Bull Racing
90.5505
15
24.7
29.8
false
2
2
LEC
Ferrari
98.9058
17
24.7
29.8
false
3
19
SAI
Ferrari
90.982333
18
24.7
29.8
false
4
4
ALO
Aston Martin
90.8922
15
24.7
29.8
false
5
3
RUS
Mercedes
90.9416
15
24.7
29.8
false
6
7
HAM
Mercedes
90.999
15
24.7
29.8
false
7
5
STR
Aston Martin
91.499167
18
24.7
29.8
false
8
6
OCO
Alpine
91.4922
15
24.7
29.8
false
9
18
HUL
Haas F1 Team
91.472
17
24.7
29.8
false
10
15
NOR
McLaren
91.94475
13
24.7
29.8
false
11
17
BOT
Alfa Romeo
91.76725
12
24.7
29.8
false
12
8
ZHO
Alfa Romeo
91.817
12
24.7
29.8
false
13
16
TSU
AlphaTauri
92.1018
15
24.7
29.8
false
14
11
ALB
Williams
91.7775
8
24.7
29.8
false
15
10
SAR
Williams
92.1625
6
24.7
29.8
false
16
12
MAG
Haas F1 Team
91.981
6
24.7
29.8
false
17
13
PIA
McLaren
92.367
7
24.7
29.8
false
18
20
DEV
AlphaTauri
92.416333
9
24.7
29.8
false
19
14
GAS
Alpine
91.9995
6
24.7
29.8
false
20
9
PER
Red Bull Racing
88.8558
18
27
32.4
false
1
1
LEC
Ferrari
100.395125
19
27
32.4
false
2
7
ALO
Aston Martin
98.3925
18
27
32.4
false
3
3
RUS
Mercedes
100.956
21
27
32.4
false
4
4
SAI
Ferrari
101.405364
24
27
32.4
false
5
6
STR
Aston Martin
102.610455
20
27
32.4
false
6
20
OCO
Alpine
100.672571
24
27
32.4
false
7
8
HAM
Mercedes
100.05
21
27
32.4
false
8
5
PIA
McLaren
99.658333
23
27
32.4
false
9
15
GAS
Alpine
100.013462
23
27
32.4
false
10
9
HUL
Haas F1 Team
104.9948
18
27
32.4
false
11
12
ZHO
Alfa Romeo
102.7504
18
27
32.4
false
12
13
MAG
Haas F1 Team
100.682
17
27
32.4
false
13
10
BOT
Alfa Romeo
102.7825
18
27
32.4
false
14
18
VER
Red Bull Racing
99.357
6
27
32.4
false
15
2
TSU
AlphaTauri
108.069833
10
27
32.4
false
16
11
ALB
Williams
108.995
9
27
32.4
false
17
19
DEV
AlphaTauri
102.6355
10
27
32.4
false
18
14
NOR
McLaren
90.447
4
27
32.4
false
19
17
SAR
Williams
109.1155
8
27
32.4
false
20
16
VER
Red Bull Racing
87.24375
24
14.5
20.9
true
1
1
RUS
Mercedes
89.039211
29
14.5
20.9
true
2
18
HAM
Mercedes
89.691111
28
14.5
20.9
true
3
2
ALO
Aston Martin
88.796875
26
14.5
20.9
true
4
3
SAI
Ferrari
94.0955
28
14.5
20.9
true
5
12
STR
Aston Martin
93.917313
26
14.5
20.9
true
6
4
LEC
Ferrari
95.150615
25
14.5
20.9
true
7
20
ALB
Williams
88.043294
27
14.5
20.9
true
8
19
GAS
Alpine
89.111389
25
14.5
20.9
true
9
13
HUL
Haas F1 Team
89.180357
26
14.5
20.9
true
10
7
OCO
Alpine
91.618917
18
14.5
20.9
true
11
14
TSU
AlphaTauri
91.544643
22
14.5
20.9
true
12
10
NOR
McLaren
92.755188
24
14.5
20.9
true
13
6
MAG
Haas F1 Team
89.3618
18
14.5
20.9
true
14
17
DEV
AlphaTauri
88.903533
23
14.5
20.9
true
15
15
PIA
McLaren
96.221
12
14.5
20.9
true
16
8
ZHO
Alfa Romeo
92.161875
12
14.5
20.9
true
17
9
SAR
Williams
94.773429
12
14.5
20.9
true
18
16
BOT
Alfa Romeo
87.0145
12
14.5
20.9
true
19
11
PER
Red Bull Racing
null
2
14.5
20.9
true
20
5
LEC
Ferrari
112.8102
21
20
39.7
false
1
3
VER
Red Bull Racing
107.915286
20
20
39.7
false
2
2
PER
Red Bull Racing
112.374714
21
20
39.7
false
3
1
SAI
Ferrari
108.927875
24
20
39.7
false
4
5
HAM
Mercedes
110.8823
24
20
39.7
false
5
6
ALO
Aston Martin
109.8674
23
20
39.7
false
6
4
NOR
McLaren
114.888667
20
20
39.7
false
7
9
TSU
AlphaTauri
110.044182
23
20
39.7
false
8
10
STR
Aston Martin
114.538727
23
20
39.7
false
9
7
PIA
McLaren
110.600333
24
20
39.7
false
10
11
RUS
Mercedes
112.63775
18
20
39.7
false
11
8
OCO
Alpine
112.571778
19
20
39.7
false
12
15
ALB
Williams
112.392556
19
20
39.7
false
13
12
BOT
Alfa Romeo
113.163556
19
20
39.7
false
14
18
SAR
Williams
112.027889
19
20
39.7
false
15
16
ZHO
Alfa Romeo
116.4538
11
20
39.7
false
16
19
HUL
Haas F1 Team
113.8475
10
20
39.7
false
17
17
MAG
Haas F1 Team
113.108667
9
20
39.7
false
18
13
GAS
Alpine
115.3475
6
20
39.7
false
19
14
DEV
AlphaTauri
115.282
3
20
39.7
false
20
20
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