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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 | 44 | 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.csvInsurance.csvTitanic.csvad_campaign.csvattrition.csvbasic1.csvbasic1_json.jsonbasic1_xml.xmlbasic2.csvbasic3.csvcafe_sales.csvchristmas_decoration_sales.csvdaily_temperatures.csvdiabetes_test.csvdiabetes_train.csve-commerce.csvemployee_attrition.csvgas_test.csvgas_train.csvhamspam.csvheating.csvhigh_blood_pressure.csvoverwork.csvpayment.csvpurchase.csvsales_branch.csvsidedu.csvsubject_performance.csvt3_regression_data.csvt3_success.csvwebsite.csv
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