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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 missing columns ({'winPlacePerc'})

This happened while the csv dataset builder was generating data using

hf://datasets/ybubnou/pubg/test_V2.csv (at revision 804d09a77332b675ff657ce82328db5e94fcad28)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              Id: string
              groupId: string
              matchId: string
              assists: int64
              boosts: int64
              damageDealt: double
              DBNOs: int64
              headshotKills: int64
              heals: int64
              killPlace: int64
              killPoints: int64
              kills: int64
              killStreaks: int64
              longestKill: double
              matchDuration: int64
              matchType: string
              maxPlace: int64
              numGroups: int64
              rankPoints: int64
              revives: int64
              rideDistance: double
              roadKills: int64
              swimDistance: double
              teamKills: int64
              vehicleDestroys: int64
              walkDistance: double
              weaponsAcquired: int64
              winPoints: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3527
              to
              {'Id': Value(dtype='string', id=None), 'groupId': Value(dtype='string', id=None), 'matchId': Value(dtype='string', id=None), 'assists': Value(dtype='int64', id=None), 'boosts': Value(dtype='int64', id=None), 'damageDealt': Value(dtype='float64', id=None), 'DBNOs': Value(dtype='int64', id=None), 'headshotKills': Value(dtype='int64', id=None), 'heals': Value(dtype='int64', id=None), 'killPlace': Value(dtype='int64', id=None), 'killPoints': Value(dtype='int64', id=None), 'kills': Value(dtype='int64', id=None), 'killStreaks': Value(dtype='int64', id=None), 'longestKill': Value(dtype='float64', id=None), 'matchDuration': Value(dtype='int64', id=None), 'matchType': Value(dtype='string', id=None), 'maxPlace': Value(dtype='int64', id=None), 'numGroups': Value(dtype='int64', id=None), 'rankPoints': Value(dtype='int64', id=None), 'revives': Value(dtype='int64', id=None), 'rideDistance': Value(dtype='float64', id=None), 'roadKills': Value(dtype='int64', id=None), 'swimDistance': Value(dtype='float64', id=None), 'teamKills': Value(dtype='int64', id=None), 'vehicleDestroys': Value(dtype='int64', id=None), 'walkDistance': Value(dtype='float64', id=None), 'weaponsAcquired': Value(dtype='int64', id=None), 'winPoints': Value(dtype='int64', id=None), 'winPlacePerc': Value(dtype='float64', 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 missing columns ({'winPlacePerc'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ybubnou/pubg/test_V2.csv (at revision 804d09a77332b675ff657ce82328db5e94fcad28)
              
              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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Id
string
groupId
string
matchId
string
assists
int64
boosts
int64
damageDealt
float64
DBNOs
int64
headshotKills
int64
heals
int64
killPlace
int64
killPoints
int64
kills
int64
killStreaks
int64
longestKill
float64
matchDuration
int64
matchType
string
maxPlace
int64
numGroups
int64
rankPoints
int64
revives
int64
rideDistance
float64
roadKills
int64
swimDistance
float64
teamKills
int64
vehicleDestroys
int64
walkDistance
float64
weaponsAcquired
int64
winPoints
int64
winPlacePerc
float64
7f96b2f878858a
4d4b580de459be
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0
0
0
0
0
0
248.6
5
0
0.2947
c5d63a04ebad0e
15b88a6fe2a9c9
1ace3a32a71103
0
2
279
4
0
1
10
0
3
1
40.19
1,909
squad-fpp
29
28
1,399
1
0
0
0
0
0
991.7
2
0
0.3571
c67405a29d8d94
a4b7f81ca549ad
217c39c4c3835a
0
0
35.87
0
0
1
63
0
0
0
0
1,815
squad-fpp
31
30
1,460
0
0
0
0
0
0
2,037
4
0
0.5
e36b06a7553224
6fdc29822f8426
33627aff714bf6
0
0
0
0
0
0
67
1,341
0
0
0
1,355
squad-fpp
30
29
-1
0
0
0
0
0
0
577.2
2
1,587
0.3793
e375584f42732e
a26fcb997c4431
87907cb86885c0
0
0
97.57
0
0
0
36
0
1
1
150.7
1,767
squad-fpp
29
28
1,418
0
0
0
0
0
0
212.9
2
0
0.25
6178abb3fa1d4c
bf11be673c0766
9191d79d9dacea
0
0
52.7
1
0
0
37
1,150
1
1
54.31
1,343
duo-fpp
47
44
-1
0
0
0
0
0
0
143.8
5
1,431
0.2174
6d22bbb91be111
f8eae099ce62a1
eb89846da810e3
0
1
23.22
0
0
1
47
1,208
0
0
0
1,867
squad-fpp
29
28
-1
1
1,702
0
111.8
0
0
3,663
2
1,565
0.8214
d79cdeb0ac6eb5
82ff744317632e
6c79fb59bd74c2
2
4
560.8
5
2
9
4
1,355
5
2
28.48
1,374
squad
26
26
-1
0
0
0
0
0
0
2,190
7
1,534
0.64
ccd2eb49c09d77
aec70dc7cd2994
a4861c84dd1d2b
0
3
218.8
2
2
3
6
0
4
1
86.24
1,423
squad-fpp
29
28
1,434
0
0
0
0
0
0
3,078
4
0
0.8929
7e8f5c11aa9dd9
f6e200c4f98c3c
ee313012ea3e01
0
1
81
1
0
1
29
0
1
1
20.13
1,357
squad-fpp
30
30
1,327
0
0
0
0
0
0
687.7
2
0
0.5517
a02d62f153b033
69745bfb9412d9
6945783270e8dc
1
1
133.1
1
0
1
47
1,358
1
1
7.093
1,196
squad-fpp
28
27
0
0
0
0
0
0
0
127.7
1
1,454
0.1111
d551381427e157
39d3a3acbe38d7
5a5d23025129e2
0
2
100
0
1
2
29
0
1
1
21.86
1,959
solo-fpp
95
93
1,698
0
0
0
0
0
0
1,606
5
0
0.6809
5c46a37a783839
fcdc3ec45f9aea
2f985254dfe02b
0
1
170
1
1
4
16
0
2
2
80.31
1,327
squad-fpp
26
26
1,448
0
0
0
0
0
0
3,182
2
0
0.72
dd87e30dc17eff
629ff5d2728458
f4f95b16c74a74
1
4
135.2
1
0
4
8
0
3
1
128.4
1,289
duo-fpp
45
42
1,544
0
0
0
0
0
0
2,593
7
0
0.9091
eea397f23204bd
19650a810dbdbf
b99cd2f850c233
0
0
100
1
0
0
41
1,272
1
1
3.55
1,278
squad-fpp
27
27
-1
0
0
0
0
0
0
9.907
1
1,514
0
73348483a5974b
1c8e486a643207
85601fe44d519b
0
0
17.81
0
0
0
79
1,274
0
0
0
1,945
solo
99
95
-1
0
129.3
0
0
0
0
471.9
3
1,536
0.2245
d2690c6ee5798c
b28ab385b07dc0
5eecd627f965a7
0
0
87.39
1
1
0
21
0
2
2
13.17
1,388
duo-fpp
48
44
1,514
1
0
0
20.11
0
0
735
4
0
0.4468
b83ba80e820303
c7979543803b35
56369e162a028b
0
1
192.5
0
0
8
27
1,125
1
1
55.1
1,739
squad-fpp
25
23
-1
0
4.268
0
0
0
0
1,378
7
1,374
0.5417
43bfa2926267fc
d1e381d0a0e920
e84bdcba8b7865
0
6
467.8
2
1
6
2
0
5
1
70.94
1,308
squad-fpp
28
28
1,526
0
0
0
0
0
0
4,286
7
0
0.963
22252be49d4419
37fa7583da2fa2
1ce1cb998f75c7
1
5
378.8
2
3
6
4
0
4
2
61.39
1,297
squad-fpp
29
28
1,431
0
317.7
0
0
0
1
3,120
4
0
1
b980859d30a6b2
0e062d8dfa071e
fddb99bae59e26
0
0
30.1
0
0
0
77
0
0
0
0
1,192
duo-fpp
49
49
1,515
0
0
0
0
0
0
194.1
2
0
0.1875
caa1a36afeb7b2
c653cfca3b8b06
e5e181d2da0334
0
1
100
0
0
0
38
1,000
1
1
7.667
2,042
solo
90
86
-1
0
0
0
0
0
0
231.7
4
1,500
0.1573
83fac43ac28f44
deedec555b9d29
1d79bd97213347
0
0
100
1
0
0
55
0
0
0
0
2,048
duo-fpp
48
44
1,497
0
0
0
0
0
0
3,580
5
0
0.617
83d0b9e08b6e72
1246493aa7619b
55a60d2026f67e
0
3
408
2
0
0
5
1,076
4
2
9.437
1,404
squad
31
31
-1
0
0
0
226
0
0
2,135
5
1,471
0.7667
84aa77226db78f
90408966a87241
5b8ab02610ca96
0
3
0
0
0
13
49
0
0
0
0
1,358
squad-fpp
30
30
1,531
0
0
0
0
1
0
3,165
7
0
0.9655
a6ee0f6ffa8bb6
28b2c15c454bb9
c8336954c4e18c
0
4
146.5
1
1
3
12
0
2
1
169.9
1,827
squad-fpp
29
28
1,499
2
0
0
0
0
0
4,321
6
0
0.8571
8b3cdbefd1f408
d25fc68b94f38c
128c05e4e54c63
0
0
0
0
0
0
91
0
0
0
0
1,376
squad-fpp
27
25
1,401
0
0
0
0
0
0
27.06
1
0
0
03cab96432e075
d9cb24f1a28ccb
1845c9080c7186
0
3
164.8
0
0
9
54
0
0
0
0
1,867
duo-fpp
47
44
1,442
0
5,271
0
9.096
0
0
1,488
6
0
0.6522
5bb54605cf686f
f404c85b448b84
95b1fd3ad3f3a8
1
2
83.08
1
0
1
40
0
1
1
21.94
1,350
squad-fpp
29
29
1,388
0
0
0
0
0
0
576.7
3
0
0.2857
5d8016d7aa9437
9da0fb0be19117
b4d329043d5c60
2
1
243.1
1
1
1
29
0
1
1
176
1,892
duo-fpp
47
45
1,488
0
0
0
0
0
0
1,749
4
0
0.7609
b23e720058fc87
a5a5052aa40425
6ccd7bc2061238
1
0
42.57
0
0
0
86
0
0
0
0
1,372
squad
27
27
1,510
0
0
0
0
0
0
140.1
2
0
0.0769
306cdfb564445f
cb9be5068fe48e
d56a814fd99d70
0
0
200
2
0
0
69
0
0
0
0
2,007
squad-fpp
29
28
1,480
0
0
0
0
0
0
589.3
3
0
0.25
9f3b1c12a9f2ec
fb1d7d36187631
066bda6450c15b
0
0
0
0
0
0
92
0
0
0
0
1,817
squad-fpp
29
29
1,514
0
0
0
0
0
0
103
1
0
0.0714
ee3025cc18e7c9
fabb0207f0c596
511978f8a62c1e
2
2
129.4
1
1
5
23
1,188
1
1
18.31
1,972
duo-fpp
50
47
-1
1
0
0
0
0
0
3,563
5
1,621
0.9796
ba6ae608ca5f37
3c3720c21ab5f9
6624dcb5e8acb8
0
0
0
0
0
0
71
0
0
0
0
1,809
squad-fpp
28
27
1,484
0
317.8
0
0
0
0
982.5
2
0
0.2963
498c5db01d537c
b78e350035fc04
fb62da776174fb
1
1
100
1
0
1
30
0
1
1
10.64
1,318
squad-fpp
29
28
1,489
0
0
0
0
0
0
1,150
3
0
0.5
e62133b0c6f55d
d3bf7b5d7d5a19
a008a6419c2d47
0
0
161.8
1
0
0
27
1,077
1
1
8.427
1,442
duo-fpp
50
50
-1
0
867.1
0
0
0
0
638
2
1,512
0.5714
95aaab951e3eec
84c97cfeefc4f5
a1729dc8da7e7a
0
4
283.1
0
1
14
27
0
1
1
151.9
1,777
duo-fpp
49
47
1,494
0
0
0
0
0
0
3,683
3
0
0.8958
07719d6195d86b
ef74183e05c457
dc0716495eb407
0
0
190.3
1
0
0
47
1,425
1
1
2.431
1,341
squad-fpp
30
30
-1
0
0
0
0
0
0
14.85
2
1,528
0.2414
3dc087431e40f1
a9672f175e2436
831872ded8d409
0
1
239.6
3
1
2
10
0
3
1
291
1,665
squad-fpp
29
27
1,500
0
0
0
0
0
0
2,666
5
0
0.7143
416fafd3666b44
a85946d7fea543
6044ea5f1f6659
0
2
143.5
1
1
1
20
0
2
1
7.58
1,892
squad-fpp
27
25
1,490
0
0
0
0
0
0
827.6
4
0
0.3462
677089d4226510
2cf8fb44c49cf4
06f853dab32a20
0
0
46.41
0
0
0
81
0
0
0
0
1,493
solo-fpp
95
94
1,499
0
0
0
0
0
0
50.82
1
0
0.1489
35d182d668c400
bcce1d76eca0b6
f226ac9bda656d
0
1
125.9
1
0
0
56
0
0
0
0
1,719
squad-fpp
27
25
1,496
0
0
0
0
0
0
547.5
3
0
0.2692
5fd62798396ca8
bb19a05801d30d
9e3c46f8acde82
0
0
36
0
0
0
84
0
0
0
0
1,999
solo
94
92
1,507
0
0
0
0
0
0
292.6
1
0
0.1075
278fb2f43fc27b
88154feae77bb4
f77d0c40d31302
0
0
199.8
1
0
0
40
0
1
1
28.8
1,423
duo-fpp
49
48
1,469
0
0
0
0
0
0
258.8
3
0
0.2292
48649b6932f7df
bf586d215f4962
edadbf0f8c2c8d
0
0
80.6
0
0
0
66
0
0
0
0
1,391
duo-fpp
49
48
1,496
0
0
0
0
0
0
747.9
6
0
0.5
e14843dc63bf7a
2f6110b3272f3b
e61de731d4992e
0
0
0
0
0
0
64
1,000
0
0
0
1,399
duo-fpp
49
47
-1
0
0
0
0
0
0
302.3
2
1,500
0.3958
7f3d7f85e7736e
6a86c130486275
8fde7d36c52447
1
0
126.3
0
0
1
52
1,463
0
0
0
1,796
squad-fpp
21
20
-1
0
0
0
0
0
0
1,089
3
1,514
0.25
707756a08b72fe
e8650092e8c52c
5c0f705f157bb1
0
0
47.85
0
0
5
62
0
0
0
0
1,913
squad
27
26
1,340
0
0
0
0
0
0
565.5
3
0
0.4231
2bea3a18442001
3a12f8041a15c5
70dcb3a9941c7f
1
1
64.73
0
0
1
49
0
0
0
0
1,287
squad-fpp
30
29
1,533
0
0
0
0
0
0
3,309
7
0
0.7586
8fc5c0d83de539
5643bbd0e52243
f07c2c6a9dbad2
1
2
566.4
4
2
1
2
1,072
6
4
42.99
1,380
duo
48
47
-1
0
0
0
0
0
0
822.1
5
1,482
0.5106
249c7209d743ed
858a260e998bbd
849713cc6c3f22
0
0
0
0
0
0
85
1,054
0
0
0
1,743
squad-fpp
29
29
-1
0
0
0
0
0
0
249.7
2
1,507
0.1071
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