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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 4 new columns ({'經度', '地 點', '緯度', '速限(km/h)'}) and 5 missing columns ({'紫外線', 'Time', '風速', '溫度', '濕度'}).

This happened while the csv dataset builder was generating data using

hf://datasets/SciDM/1217-demo02/speed-camera.lat-lon.csv (at revision 87a22057e0ff7e4a4932b81f856a8cfda427a2ff)

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 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, 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
              地 點: string
              速限(km/h): int64
              經度: double
              緯度: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 769
              to
              {'Time': Value(dtype='string', id=None), '溫度': Value(dtype='int64', id=None), '濕度': Value(dtype='int64', id=None), '紫外線': Value(dtype='int64', id=None), '風速': 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 1417, 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 1049, 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 1000, 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 1741, 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 1872, 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 4 new columns ({'經度', '地 點', '緯度', '速限(km/h)'}) and 5 missing columns ({'紫外線', 'Time', '風速', '溫度', '濕度'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/SciDM/1217-demo02/speed-camera.lat-lon.csv (at revision 87a22057e0ff7e4a4932b81f856a8cfda427a2ff)
              
              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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Time
string
溫度
int64
濕度
int64
紫外線
int64
風速
int64
2020/12/30 11:26:31
11
23
25
4
2020/12/30 12:26:31
14
21
8
7
2020/12/30 13:26:31
6
10
17
13
2020/12/30 14:26:31
29
19
6
21
2020/12/30 15:26:31
15
16
6
8
2020/12/30 16:26:31
16
24
11
3
2020/12/30 17:26:31
1
16
9
12
2020/12/30 18:26:31
6
0
14
19
2020/12/30 19:26:31
17
24
10
17
2020/12/30 20:26:31
5
16
16
20
2020/12/30 21:26:31
9
10
25
25
2020/12/30 22:26:31
21
14
8
4
2020/12/30 23:26:31
23
0
3
4
2020/12/31 00:26:31
21
13
0
22
2020/12/31 01:26:31
5
10
11
18
2020/12/31 02:26:31
17
11
1
28
2020/12/31 03:26:31
21
25
8
22
2020/12/31 04:26:31
5
6
12
26
2020/12/31 05:26:31
18
28
21
26
2020/12/31 06:26:31
24
19
26
29
2020/12/31 07:26:31
14
29
5
4
2020/12/31 08:26:30
13
9
3
18
2020/12/31 09:26:30
15
8
18
6
2020/12/31 10:26:30
1
17
18
27
2020/12/31 11:26:30
6
2
11
22
2020/12/31 12:26:30
14
12
6
0
2020/12/31 13:26:30
29
24
22
6
2020/12/31 14:26:30
9
14
27
17
2020/12/31 15:26:30
1
6
17
7
2020/12/31 16:26:30
1
0
12
1
2020/12/31 17:26:30
26
0
17
20
2020/12/31 18:26:30
10
3
4
14
2020/12/31 19:26:30
27
21
6
19
2020/12/31 20:26:30
8
17
10
1
2020/12/31 21:26:30
19
10
7
24
2020/12/31 22:26:30
24
3
1
17
2020/12/31 23:26:30
14
8
23
22
2021/01/01 00:26:30
15
2
7
23
2021/01/01 01:26:30
10
22
2
11
2021/01/01 02:26:30
19
9
20
18
2021/01/01 03:26:30
10
12
22
29
2021/01/01 04:26:30
17
1
9
2
2021/01/01 05:26:30
0
14
12
27
2021/01/01 06:26:30
10
17
5
18
2021/01/01 07:26:30
3
26
6
10
2021/01/01 08:26:30
12
24
9
29
2021/01/01 09:26:30
4
14
5
15
2021/01/01 10:26:30
14
3
11
1
2021/01/01 11:26:30
4
2
14
27
2021/01/01 12:26:30
9
12
24
13
2021/01/01 13:26:30
13
14
15
2
2021/01/01 14:26:30
14
16
21
3
2021/01/01 15:26:30
24
27
18
28
2021/01/01 16:26:30
10
6
17
21
2021/01/01 17:26:30
19
13
7
28
2021/01/01 18:26:30
7
0
3
4
2021/01/01 19:26:30
11
8
2
29
2021/01/01 20:26:30
23
0
9
20
2021/01/01 21:26:30
9
21
5
25
2021/01/01 22:26:30
5
15
28
23
2021/01/01 23:26:30
12
17
17
16
2021/01/02 00:26:30
29
1
27
27
2021/01/02 01:26:30
28
13
11
10
2021/01/02 02:26:30
9
26
22
11
2021/01/02 03:26:30
13
3
17
13
2021/01/02 04:26:30
7
19
8
20
2021/01/02 05:26:30
27
28
17
3
2021/01/02 06:26:30
11
11
4
13
2021/01/02 07:26:30
28
23
18
7
2021/01/02 08:26:30
11
4
17
15
2021/01/02 09:26:30
2
28
0
10
2021/01/02 10:26:30
11
7
17
29
2021/01/02 11:26:30
8
29
10
14
2021/01/02 12:26:30
11
3
14
27
2021/01/02 13:26:30
21
27
21
7
2021/01/02 14:26:30
27
18
6
26
2021/01/02 15:26:30
22
25
11
12
2021/01/02 16:26:30
9
26
29
9
2021/01/02 17:26:30
22
14
27
6
2021/01/02 18:26:30
22
5
27
17
2021/01/02 19:26:30
16
6
26
21
2021/01/02 20:26:30
20
7
13
1
2021/01/02 21:26:30
25
17
24
17
2021/01/02 22:26:30
11
14
26
21
2021/01/02 23:26:30
13
10
17
20
2021/01/03 00:26:30
10
8
2
24
2021/01/03 01:26:30
29
25
4
27
2021/01/03 02:26:30
8
5
7
17
2021/01/03 03:26:30
17
27
11
7
2021/01/03 04:26:30
12
29
25
27
2021/01/03 05:26:30
23
10
9
16
2021/01/03 06:26:30
29
1
20
11
2021/01/03 07:26:30
17
3
10
9
2021/01/03 08:26:30
10
9
24
12
2021/01/03 09:26:30
3
20
23
6
2021/01/03 10:26:30
23
20
27
4
2021/01/03 11:26:30
1
1
18
16
2021/01/03 12:26:30
14
18
1
13
2021/01/03 13:26:30
3
23
17
10
2021/01/03 14:26:30
21
27
27
26
End of preview.

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