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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 9 new columns ({'Winners', 'Runners-up', 'Score', 'Venue', 'Attend\xadance', 'Notes', 'Season', 'Country', 'Country.1'}) and 9 missing columns ({'#', 'Dif', 'L', 'M.', 'W', 'Team', 'Pt.', 'D', 'goals'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Zuru7/Champion_League_1955_to_2023/UCL_Finals_1955-2023.csv (at revision e446efe7ca93fa68eda97aa7076b30be76626360)

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 1869, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 580, 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 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Season: string
              Country: string
              Winners: string
              Score: string
              Runners-up: string
              Country.1: string
              Venue: string
              Attend­ance: string
              Notes: string
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1300
              to
              {'#': Value(dtype='float64', id=None), 'Team': Value(dtype='string', id=None), 'M.': Value(dtype='int64', id=None), 'W': Value(dtype='int64', id=None), 'D': Value(dtype='int64', id=None), 'L': Value(dtype='int64', id=None), 'goals': Value(dtype='string', id=None), 'Dif': Value(dtype='int64', id=None), 'Pt.': Value(dtype='int64', id=None)}
              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 1392, 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 1041, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 999, 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 1740, 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 1871, 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 9 new columns ({'Winners', 'Runners-up', 'Score', 'Venue', 'Attend\xadance', 'Notes', 'Season', 'Country', 'Country.1'}) and 9 missing columns ({'#', 'Dif', 'L', 'M.', 'W', 'Team', 'Pt.', 'D', 'goals'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Zuru7/Champion_League_1955_to_2023/UCL_Finals_1955-2023.csv (at revision e446efe7ca93fa68eda97aa7076b30be76626360)
              
              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.

#
float64
Team
string
M.
int64
W
int64
D
int64
L
int64
goals
string
Dif
int64
Pt.
int64
1
Real Madrid
486
291
85
110
1076:55:00
533
533
2
Bayern Munich
388
231
78
79
817:24:00
427
427
3
FC Barcelona
341
196
77
68
675:51:00
319
319
4
Manchester United
289
153
69
67
524:56:00
224
224
5
Juventus
297
151
68
78
472:57:00
171
171
6
AC Milan
265
127
69
69
431:16:00
171
171
7
Liverpool FC
230
128
48
54
435:38:00
214
214
8
FC Porto
265
120
58
87
392:01:00
86
86
9
SL Benfica
266
116
61
89
438:19:00
114
114
10
Chelsea FC
197
101
52
44
337:01:00
153
153
11
AFC Ajax
215
100
50
65
347:59:00
105
105
12
Inter Milan
203
97
53
53
286:26:00
77
77
13
Arsenal FC
197
93
44
60
324:43:00
98
98
14
Borussia Dortmund
176
83
36
57
297:39:00
75
75
15
Atlético Madrid
166
79
44
43
242:42:00
78
78
16
Paris Saint-Germain
151
79
29
43
294:57:00
115
115
17
Manchester City
127
72
26
29
269:24:00
123
123
18
Dinamo Kiev
186
65
41
80
229:07:00
-22
-22
19
PSV Eindhoven
171
58
43
70
213:41:00
-11
-11
20
Celtic FC
156
61
28
67
216:39:00
-6
-6
21
Olympique Lyon
136
58
36
42
216:45:00
49
49
22
RSC Anderlecht
163
53
35
75
217:37:00
-64
-64
23
Valencia CF
116
48
34
34
169:03:00
44
44
24
Galatasaray
161
43
41
77
174:27:00
-97
-97
25
Olympiakos Piraeus
156
47
28
81
176:21:00
-89
-89
26
Rangers FC
131
43
31
57
173:34:00
-44
-44
27
Crvena Zvezda
104
48
15
41
204:45:00
37
37
28
AS Roma
109
41
26
42
149:37:00
-10
-10
29
Olympique Marseille
110
43
18
49
161:18:00
21
21
30
Panathinaikos
127
36
37
54
138:55:00
-39
-39
31
Shakhtar Donetsk
118
39
26
53
161:25:00
-47
-47
32
Bayer Leverkusen
107
37
25
45
148:53:00
-27
-27
33
AS Monaco
98
35
21
42
146:17:00
7
7
34
Spartak Moskva
104
34
23
47
146:47:00
-23
-23
35
AC Sparta Praha
102
33
24
45
130:32:00
-24
-24
36
Feyenoord
85
32
22
31
141:52:00
28
28
37
CSKA Sofia
86
34
15
37
124:09:00
-7
-7
38
Club Brugge KV
97
31
22
44
115:22:00
-29
-29
39
SSC Napoli
66
30
17
19
113:22:00
30
30
40
FC Schalke 04
73
29
17
27
105:50:00
-6
-6
41
FC Basel
82
29
15
38
113:27:00
-36
-36
42
Sevilla FC
72
27
20
25
105:46:00
-2
-2
43
IFK Göteborg
70
30
10
30
116:48:00
7
7
44
Sporting CP
92
28
15
49
125:43:00
-40
-40
45
FCSB
87
25
22
40
104:06:00
-24
-24
46
Tottenham Hotspur
61
27
13
21
111:27:00
23
23
47
CSKA Moskva
86
23
20
43
98:19:00
-43
-43
48
Lazio Roma
60
23
16
21
88:18:00
9
9
49
Deportivo La Coruña
58
23
15
20
75:19:00
-5
-5
50
Rosenborg BK
90
21
21
48
111:52:00
-63
-63
51
Werder Bremen
60
23
14
23
96:38:00
-3
-3
52
Girondins Bordeaux
50
21
16
13
54:54:00
0
0
53
Austria Wien
63
22
13
28
91:39:00
-9
-9
54
Standard Liège
46
24
5
17
79:56:00
23
23
55
Rapid Wien
61
24
5
32
94:38:00
-5
-5
56
Zenit St. Petersburg
64
21
14
29
76:30:00
-15
-15
57
FK Viagem Příbram
45
22
10
13
75:58:00
17
17
58
Bor. Mönchengladbach
51
19
16
16
99:08:00
30
30
59
Dinamo Bucureşti
54
21
9
24
83:23:00
-1
-1
60
RB Leipzig
46
22
6
18
81:22:00
-2
-2
61
Fenerbahçe
73
20
10
43
74:20:00
-68
-68
62
Leeds United
38
20
6
12
73:40:00
33
33
63
ACF Fiorentina
39
18
12
9
53:45:00
8
8
64
Górnik Zabrze
43
20
6
17
70:05:00
4
4
65
Beşiktaş
70
17
13
40
63:18:00
-77
-77
66
AS Saint-Étienne
39
19
6
14
49:41:00
8
8
67
Hamburger SV
39
18
6
15
69:55:00
14
14
68
Újpest FC
40
17
8
15
66:03:00
2
2
69
Malmö FF
53
14
11
28
45:41:00
-57
-57
70
FC Nantes
40
12
14
14
52:54:00
-2
-2
71
BFC Dynamo
36
14
7
15
51:51:00
0
0
72
Villarreal CF
40
11
15
14
43:50:00
-7
-7
73
Hajduk Split
26
14
5
7
46:28:00
18
18
74
Legia Warszawa
32
14
5
13
43:51:00
-8
-8
75
Spartak Trnava
24
13
7
4
44:20:00
24
24
76
Partizan
45
13
7
25
61:13:00
-13
-13
77
AEK Athen
56
9
19
28
58:39:00
-42
-42
78
Stade Reims
24
14
3
7
63:30:00
33
33
79
FC København
44
11
12
21
39:06:00
-28
-28
80
Budapesti Vasas
27
12
6
9
62:34:00
28
28
81
Dynamo Dresden
30
12
6
12
48:44:00
4
4
82
Lille OSC
46
9
15
22
38:57:00
-19
-19
83
Nottingham Forest
20
12
4
4
32:14:00
18
18
84
BSC Young Boys
35
10
9
16
47:08:00
-22
-22
85
FC Zürich
33
12
3
18
42:03:00
-22
-22
86
RB Salzburg
38
9
11
18
50:07:00
-18
-18
87
Real Sociedad
32
9
9
14
28:35:00
-7
-7
88
Ferencvárosi TC
32
10
6
16
55:13:00
-19
-19
89
Grasshopper Club Zürich
38
9
8
21
55:06:00
-12
-12
90
Lokomotiv Moskva
44
9
8
27
40:08:00
-29
-29
91
Omonia Nikosia
36
11
2
23
45:27:00
-43
-43
92
VfL Wolfsburg
22
10
3
9
29:29:00
0
0
93
Budapest Honvéd
26
10
3
13
33:49:00
-16
-16
94
Dinamo Zagreb
54
8
9
37
42:54:00
-73
-73
95
Athletic Bilbao
24
8
7
9
32:32:00
0
0
96
VfB Stuttgart
27
8
7
12
33:42:00
-9
-9
97
Aston Villa
15
9
3
3
24:10:00
14
14
98
Atalanta
23
8
6
9
40:43:00
-3
-3
99
1. FC Köln
17
7
8
2
27:19:00
8
8
100
Newcastle United
24
8
4
12
29:36:00
-7
-7
End of preview.