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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 5 new columns ({'20220228', '18.1', '17', '71.76', '18'}) and 5 missing columns ({'electrical-meter-id', 'customer-id', 'hour', 'date', 'amount-of-consumption'}).

This happened while the csv dataset builder was generating data using

hf://datasets/andrewlee1807/Gyeonggi/xab.csv (at revision 264665bf10ad1c4efb94585c47119f20c040304e)

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
              18: int64
              20220228: int64
              17: int64
              18.1: int64
              71.76: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 794
              to
              {'electrical-meter-id': Value(dtype='int64', id=None), 'date': Value(dtype='int64', id=None), 'hour': Value(dtype='int64', id=None), 'customer-id': Value(dtype='int64', id=None), 'amount-of-consumption': 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 5 new columns ({'20220228', '18.1', '17', '71.76', '18'}) and 5 missing columns ({'electrical-meter-id', 'customer-id', 'hour', 'date', 'amount-of-consumption'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/andrewlee1807/Gyeonggi/xab.csv (at revision 264665bf10ad1c4efb94585c47119f20c040304e)
              
              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.

electrical-meter-id
int64
date
int64
hour
int64
customer-id
int64
amount-of-consumption
float64
1
20,200,801
4
1
38.74
1
20,200,801
18
1
69.74
1
20,200,801
22
1
69.51
1
20,200,801
23
1
70.92
1
20,200,802
5
1
61.08
1
20,200,802
6
1
62.67
1
20,200,803
13
1
222.38
1
20,200,804
2
1
74.83
1
20,200,804
14
1
220.58
1
20,200,804
20
1
117.12
1
20,200,806
1
1
69.03
1
20,200,806
4
1
62.13
1
20,200,806
6
1
45.19
1
20,200,806
12
1
216.91
1
20,200,806
20
1
90.36
1
20,200,808
5
1
32.37
1
20,200,808
14
1
75.33
1
20,200,809
11
1
74.21
1
20,200,809
17
1
21.72
1
20,200,809
23
1
55.03
1
20,200,810
7
1
43.63
1
20,200,810
17
1
152.01
1
20,200,810
22
1
83.43
1
20,200,810
24
1
64.72
1
20,200,811
1
1
56.42
1
20,200,811
2
1
54.48
1
20,200,811
12
1
103.25
1
20,200,812
7
1
55.74
1
20,200,812
9
1
104.66
1
20,200,812
19
1
63.21
1
20,200,813
1
1
51.22
1
20,200,813
15
1
104.66
1
20,200,813
16
1
206.83
1
20,200,813
19
1
125.8
1
20,200,813
20
1
137.08
1
20,200,814
10
1
166.82
1
20,200,814
17
1
52.3
1
20,200,814
24
1
40.06
1
20,200,815
23
1
54.19
1
20,200,816
4
1
23.59
1
20,200,816
19
1
63.21
1
20,200,817
9
1
72.05
1
20,200,818
6
1
47.16
1
20,200,818
7
1
70.51
1
20,200,818
12
1
240.04
1
20,200,818
20
1
133.1
1
20,200,818
22
1
81.98
1
20,200,818
23
1
58.39
1
20,200,819
12
1
229.13
1
20,200,819
17
1
215.4
1
20,200,820
4
1
48.93
1
20,200,820
20
1
119
1
20,200,820
22
1
75.22
1
20,200,821
4
1
25.94
1
20,200,821
22
1
71.61
1
20,200,821
24
1
50.66
1
20,200,822
14
1
75.1
1
20,200,823
2
1
46.3
1
20,200,823
14
1
89.19
1
20,200,824
4
1
44.34
1
20,200,824
5
1
34.78
1
20,200,824
6
1
47.33
1
20,200,824
17
1
225.66
1
20,200,824
24
1
51.36
1
20,200,825
2
1
49.1
1
20,200,825
3
1
49.32
1
20,200,825
4
1
49.16
1
20,200,825
7
1
59.73
1
20,200,826
2
1
52.3
1
20,200,826
9
1
188
1
20,200,826
20
1
99.29
1
20,200,827
1
1
74.92
1
20,200,827
5
1
61.6
1
20,200,828
12
1
238.64
1
20,200,828
14
1
231.94
1
20,200,829
3
1
49.91
1
20,200,829
17
1
81.5
1
20,200,829
23
1
50.95
1
20,200,830
2
1
48.1
1
20,200,830
9
1
72.81
1
20,200,830
19
1
78.76
1
20,200,831
6
1
46.83
1
20,200,831
7
1
62.74
1
20,200,831
13
1
224.64
1
20,200,831
18
1
209.4
1
20,200,831
23
1
60.04
1
20,200,901
1
1
49.17
1
20,200,901
2
1
50.07
1
20,200,901
3
1
48
1
20,200,901
4
1
47.31
1
20,200,901
5
1
48.26
1
20,200,901
6
1
48.08
1
20,200,901
7
1
61.44
1
20,200,901
8
1
98.28
1
20,200,901
9
1
200.21
1
20,200,901
10
1
214.38
1
20,200,901
11
1
215.67
1
20,200,901
12
1
223.29
1
20,200,901
13
1
217.1
1
20,200,901
14
1
217.97
End of preview.