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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 ({'failure'})

This happened while the csv dataset builder was generating data using

hf://datasets/ttxy/tabular/test.csv (at revision 7a5acc07f9db8c57080a713c40a3e24484d865c0)

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: int64
              product_code: string
              loading: double
              attribute_0: string
              attribute_1: string
              attribute_2: int64
              attribute_3: int64
              measurement_0: int64
              measurement_1: int64
              measurement_2: int64
              measurement_3: double
              measurement_4: double
              measurement_5: double
              measurement_6: double
              measurement_7: double
              measurement_8: double
              measurement_9: double
              measurement_10: double
              measurement_11: double
              measurement_12: double
              measurement_13: double
              measurement_14: double
              measurement_15: double
              measurement_16: double
              measurement_17: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 3375
              to
              {'id': Value(dtype='int64', id=None), 'product_code': Value(dtype='string', id=None), 'loading': Value(dtype='float64', id=None), 'attribute_0': Value(dtype='string', id=None), 'attribute_1': Value(dtype='string', id=None), 'attribute_2': Value(dtype='int64', id=None), 'attribute_3': Value(dtype='int64', id=None), 'measurement_0': Value(dtype='int64', id=None), 'measurement_1': Value(dtype='int64', id=None), 'measurement_2': Value(dtype='int64', id=None), 'measurement_3': Value(dtype='float64', id=None), 'measurement_4': Value(dtype='float64', id=None), 'measurement_5': Value(dtype='float64', id=None), 'measurement_6': Value(dtype='float64', id=None), 'measurement_7': Value(dtype='float64', id=None), 'measurement_8': Value(dtype='float64', id=None), 'measurement_9': Value(dtype='float64', id=None), 'measurement_10': Value(dtype='float64', id=None), 'measurement_11': Value(dtype='float64', id=None), 'measurement_12': Value(dtype='float64', id=None), 'measurement_13': Value(dtype='float64', id=None), 'measurement_14': Value(dtype='float64', id=None), 'measurement_15': Value(dtype='float64', id=None), 'measurement_16': Value(dtype='float64', id=None), 'measurement_17': Value(dtype='float64', id=None), 'failure': 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 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 ({'failure'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/ttxy/tabular/test.csv (at revision 7a5acc07f9db8c57080a713c40a3e24484d865c0)
              
              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
product_code
string
loading
float64
attribute_0
string
attribute_1
string
attribute_2
int64
attribute_3
int64
measurement_0
int64
measurement_1
int64
measurement_2
int64
measurement_3
float64
measurement_4
float64
measurement_5
float64
measurement_6
float64
measurement_7
float64
measurement_8
float64
measurement_9
float64
measurement_10
float64
measurement_11
float64
measurement_12
float64
measurement_13
float64
measurement_14
float64
measurement_15
float64
measurement_16
float64
measurement_17
float64
failure
int64
0
A
80.1
material_7
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5
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8
4
18.04
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15.748
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11.739
20.155
10.672
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764.1
0
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A
84.89
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3
18.213
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82.43
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null
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A
101.07
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17.303
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null
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1
7
A
177.92
material_7
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8
17.062
13.634
17.879
15.894
11.029
18.643
10.254
16.449
20.478
12.207
15.624
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684
1
8
A
109.5
material_7
material_8
9
5
9
6
5
18.111
11.886
17.354
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null
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A
98.72
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material_8
9
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10
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18.945
12.249
17.298
18.482
11.298
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null
null
0
10
A
140.36
material_7
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10
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null
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16.236
16.836
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18.868
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20.054
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15.121
637.067
0
11
A
175.38
material_7
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16.338
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1
12
A
232.58
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0
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17.204
13.086
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11.528
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0
13
A
159.19
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1
14
A
196.51
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15
A
106.43
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93.72
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17
A
72.72
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A
86.18
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0
19
A
109.24
material_7
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9
5
11
4
4
17.641
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18.353
17.874
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21.825
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13.791
16.212
null
0
20
A
129.09
material_7
material_8
9
5
6
9
15
18.035
10.175
16.386
18.383
11.193
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15.846
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null
14.686
17.231
13.827
17.801
685.862
0
21
A
82.16
material_7
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9
5
6
1
4
18.843
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0
22
A
155.62
material_7
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17.79
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0
23
A
118.12
material_7
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12
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0
24
A
100.48
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10
16.926
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12.296
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0
25
A
96.83
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26
A
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27
A
128.17
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A
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29
A
91.5
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0
30
A
211.44
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0
31
A
102.42
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9
5
18
3
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32
A
174.02
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33
A
186.71
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9
5
10
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4
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645.405
1
34
A
60.66
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9
5
8
3
6
19.625
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0
35
A
182.71
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3
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A
114.44
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A
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0
38
A
103.49
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39
A
144.15
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40
A
136.29
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41
A
138.41
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42
A
98.01
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43
A
178.81
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44
A
191.18
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45
A
211.2
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46
A
164.47
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47
A
215.05
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0
48
A
228.32
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9
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null
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15.018
null
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0
49
A
150.48
material_7
material_8
9
5
13
3
2
18.057
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17.064
16.497
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17.513
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12.866
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13.501
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860.434
0
50
A
158.69
material_7
material_8
9
5
12
2
10
17.699
13.003
17.998
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11.362
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16.862
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17.48
15.492
16.232
19.039
790.748
0
51
A
145.07
material_7
material_8
9
5
13
7
6
18.231
11.04
17.056
17.351
11.452
20.053
11.134
16.575
18.205
null
null
14.412
13.364
18.958
754.881
1
52
A
143.74
material_7
material_8
9
5
4
5
3
17.75
10.414
18.662
17.593
10.751
18.071
13.838
14.944
null
11.878
13.309
20.071
17.032
14.628
null
0
53
A
157.84
material_7
material_8
9
5
11
2
4
17.981
12.07
16.252
17.582
10.906
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19.037
12.986
16.549
15.746
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1
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