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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 6 new columns ({'복지의료', '공공문화', '총가스사용량', '업무오락체육', '시군구명', '생활및판매'}) and 10 missing columns ({'id', 'DiabetesPedigreeFunction', 'SkinThickness', 'Glucose', 'BloodPressure', 'BMI', 'Outcome', 'Pregnancies', 'Insulin', 'Age'}).

This happened while the csv dataset builder was generating data using

hf://datasets/jason1966/agileteam_bigdatacertificationkr/gas_train.csv (at revision 85de0404e4419da9590ce1298b668a607d6f24be), [/tmp/hf-datasets-cache/medium/datasets/81243291697540-config-parquet-and-info-jason1966-agileteam_bigda-2afce8eb/hub/datasets--jason1966--agileteam_bigdatacertificationkr/snapshots/85de0404e4419da9590ce1298b668a607d6f24be/diabetes_train.csv (origin=hf://datasets/jason1966/agileteam_bigdatacertificationkr@85de0404e4419da9590ce1298b668a607d6f24be/diabetes_train.csv), /tmp/hf-datasets-cache/medium/datasets/81243291697540-config-parquet-and-info-jason1966-agileteam_bigda-2afce8eb/hub/datasets--jason1966--agileteam_bigdatacertificationkr/snapshots/85de0404e4419da9590ce1298b668a607d6f24be/gas_train.csv (origin=hf://datasets/jason1966/agileteam_bigdatacertificationkr@85de0404e4419da9590ce1298b668a607d6f24be/gas_train.csv)]

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1890, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 760, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              시군구명: string
              생활및판매: int64
              공공문화: int64
              복지의료: int64
              업무오락체육: int64
              총가스사용량: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1199
              to
              {'id': Value('int64'), 'Pregnancies': Value('int64'), 'Glucose': Value('int64'), 'BloodPressure': Value('int64'), 'SkinThickness': Value('int64'), 'Insulin': Value('int64'), 'BMI': Value('float64'), 'DiabetesPedigreeFunction': Value('float64'), 'Age': Value('int64'), 'Outcome': Value('int64')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1892, 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 6 new columns ({'복지의료', '공공문화', '총가스사용량', '업무오락체육', '시군구명', '생활및판매'}) and 10 missing columns ({'id', 'DiabetesPedigreeFunction', 'SkinThickness', 'Glucose', 'BloodPressure', 'BMI', 'Outcome', 'Pregnancies', 'Insulin', 'Age'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/jason1966/agileteam_bigdatacertificationkr/gas_train.csv (at revision 85de0404e4419da9590ce1298b668a607d6f24be), [/tmp/hf-datasets-cache/medium/datasets/81243291697540-config-parquet-and-info-jason1966-agileteam_bigda-2afce8eb/hub/datasets--jason1966--agileteam_bigdatacertificationkr/snapshots/85de0404e4419da9590ce1298b668a607d6f24be/diabetes_train.csv (origin=hf://datasets/jason1966/agileteam_bigdatacertificationkr@85de0404e4419da9590ce1298b668a607d6f24be/diabetes_train.csv), /tmp/hf-datasets-cache/medium/datasets/81243291697540-config-parquet-and-info-jason1966-agileteam_bigda-2afce8eb/hub/datasets--jason1966--agileteam_bigdatacertificationkr/snapshots/85de0404e4419da9590ce1298b668a607d6f24be/gas_train.csv (origin=hf://datasets/jason1966/agileteam_bigdatacertificationkr@85de0404e4419da9590ce1298b668a607d6f24be/gas_train.csv)]
              
              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.

id
int64
Pregnancies
int64
Glucose
int64
BloodPressure
int64
SkinThickness
int64
Insulin
int64
BMI
float64
DiabetesPedigreeFunction
float64
Age
int64
Outcome
int64
377
1
87
60
37
75
37.2
0.509
22
0
370
3
173
82
48
465
38.4
2.137
25
1
408
8
197
74
0
0
25.9
1.191
39
1
535
4
132
0
0
0
32.9
0.302
23
1
691
13
158
114
0
0
42.3
0.257
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1
319
6
194
78
0
0
23.5
0.129
59
1
292
2
128
78
37
182
43.3
1.224
31
1
118
4
97
60
23
0
28.2
0.443
22
0
765
5
121
72
23
112
26.2
0.245
30
0
646
1
167
74
17
144
23.4
0.447
33
1
157
1
109
56
21
135
25.2
0.833
23
0
544
1
88
78
29
76
32
0.365
29
0
492
4
99
68
38
0
32.8
0.145
33
0
659
3
80
82
31
70
34.2
1.292
27
1
60
2
84
0
0
0
0
0.304
21
0
209
7
184
84
33
0
35.5
0.355
41
1
10
4
110
92
0
0
37.6
0.191
30
0
328
2
102
86
36
120
45.5
0.127
23
1
406
4
115
72
0
0
28.9
0.376
46
1
419
3
129
64
29
115
26.4
0.219
28
1
732
2
174
88
37
120
44.5
0.646
24
1
362
5
103
108
37
0
39.2
0.305
65
0
622
6
183
94
0
0
40.8
1.461
45
0
655
2
155
52
27
540
38.7
0.24
25
1
619
0
119
0
0
0
32.4
0.141
24
1
13
1
189
60
23
846
30.1
0.398
59
1
264
4
123
62
0
0
32
0.226
35
1
589
0
73
0
0
0
21.1
0.342
25
0
158
2
88
74
19
53
29
0.229
22
0
284
2
108
80
0
0
27
0.259
52
1
463
5
88
78
30
0
27.6
0.258
37
0
356
1
125
50
40
167
33.3
0.962
28
1
52
5
88
66
21
23
24.4
0.342
30
0
570
3
78
70
0
0
32.5
0.27
39
0
623
0
94
70
27
115
43.5
0.347
21
0
634
10
92
62
0
0
25.9
0.167
31
0
205
5
111
72
28
0
23.9
0.407
27
0
194
8
85
55
20
0
24.4
0.136
42
0
710
3
158
64
13
387
31.2
0.295
24
0
241
4
91
70
32
88
33.1
0.446
22
0
99
1
122
90
51
220
49.7
0.325
31
1
402
5
136
84
41
88
35
0.286
35
1
125
1
88
30
42
99
55
0.496
26
1
89
1
107
68
19
0
26.5
0.165
24
0
740
11
120
80
37
150
42.3
0.785
48
1
115
4
146
92
0
0
31.2
0.539
61
1
14
5
166
72
19
175
25.8
0.587
51
1
343
5
122
86
0
0
34.7
0.29
33
0
448
0
104
64
37
64
33.6
0.51
22
1
480
3
158
70
30
328
35.5
0.344
35
1
536
0
105
90
0
0
29.6
0.197
46
0
603
7
150
78
29
126
35.2
0.692
54
1
111
8
155
62
26
495
34
0.543
46
1
727
0
141
84
26
0
32.4
0.433
22
0
700
2
122
76
27
200
35.9
0.483
26
0
518
13
76
60
0
0
32.8
0.18
41
0
579
2
197
70
99
0
34.7
0.575
62
1
484
0
145
0
0
0
44.2
0.63
31
1
712
10
129
62
36
0
41.2
0.441
38
1
707
2
127
46
21
335
34.4
0.176
22
0
550
1
116
70
28
0
27.4
0.204
21
0
302
5
77
82
41
42
35.8
0.156
35
0
86
13
106
72
54
0
36.6
0.178
45
0
653
2
120
54
0
0
26.8
0.455
27
0
11
10
168
74
0
0
38
0.537
34
1
563
6
99
60
19
54
26.9
0.497
32
0
24
11
143
94
33
146
36.6
0.254
51
1
514
3
99
54
19
86
25.6
0.154
24
0
490
2
83
65
28
66
36.8
0.629
24
0
253
0
86
68
32
0
35.8
0.238
25
0
252
2
90
80
14
55
24.4
0.249
24
0
248
9
124
70
33
402
35.4
0.282
34
0
728
2
175
88
0
0
22.9
0.326
22
0
122
2
107
74
30
100
33.6
0.404
23
0
338
9
152
78
34
171
34.2
0.893
33
1
521
3
124
80
33
130
33.2
0.305
26
0
649
0
107
60
25
0
26.4
0.133
23
0
286
5
155
84
44
545
38.7
0.619
34
0
351
4
137
84
0
0
31.2
0.252
30
0
444
4
117
62
12
0
29.7
0.38
30
1
315
2
112
68
22
94
34.1
0.315
26
0
358
12
88
74
40
54
35.3
0.378
48
0
53
8
176
90
34
300
33.7
0.467
58
1
339
7
178
84
0
0
39.9
0.331
41
1
204
6
103
72
32
190
37.7
0.324
55
0
0
6
148
72
35
0
33.6
0.627
50
1
329
6
105
70
32
68
30.8
0.122
37
0
593
2
82
52
22
115
28.5
1.699
25
0
465
0
124
56
13
105
21.8
0.452
21
0
645
2
157
74
35
440
39.4
0.134
30
0
226
0
101
76
0
0
35.7
0.198
26
0
309
2
124
68
28
205
32.9
0.875
30
1
49
7
105
0
0
0
0
0.305
24
0
399
3
193
70
31
0
34.9
0.241
25
1
526
1
97
64
19
82
18.2
0.299
21
0
285
7
136
74
26
135
26
0.647
51
0
88
15
136
70
32
110
37.1
0.153
43
1
98
6
93
50
30
64
28.7
0.356
23
0
687
1
107
50
19
0
28.3
0.181
29
0
694
2
90
60
0
0
23.5
0.191
25
0
End of preview.

Big Data Certification KR

퇴근후딴짓 의 빅데이터 분석기사 실기 (Python, R tutorial code) 커뮤니티, Bigdata Analysis Engineer

Dataset Info

  • Source: Kaggle
  • Original Size: 0.27 MB
  • Kaggle Downloads: 28,837
  • Files: 31

Files

  • Customer_Data.csv
  • Insurance.csv
  • Titanic.csv
  • ad_campaign.csv
  • attrition.csv
  • basic1.csv
  • basic1_json.json
  • basic1_xml.xml
  • basic2.csv
  • basic3.csv
  • cafe_sales.csv
  • christmas_decoration_sales.csv
  • daily_temperatures.csv
  • diabetes_test.csv
  • diabetes_train.csv
  • e-commerce.csv
  • employee_attrition.csv
  • gas_test.csv
  • gas_train.csv
  • hamspam.csv
  • heating.csv
  • high_blood_pressure.csv
  • overwork.csv
  • payment.csv
  • purchase.csv
  • sales_branch.csv
  • sidedu.csv
  • subject_performance.csv
  • t3_regression_data.csv
  • t3_success.csv
  • website.csv

Mirrored from Kaggle

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