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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 9 new columns ({'Length', 'Diameter', 'Sex', 'Shucked_weight', 'Whole_weight', 'Viscera_weight', 'Height', 'Class_number_of_rings', 'Shell_weight'}) and 15 missing columns ({'A9', 'A15', 'A8', 'A7', 'A13', 'A2', 'A11', 'A12', 'A1', 'A14', 'A3', 'A10', 'A5', 'A4', 'A6'}).
This happened while the csv dataset builder was generating data using
hf://datasets/QuniteZone/QuniteZone_Datasets/abalone.csv (at revision 2533349822333915aa2110737820f5bf706458cb)
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
Sex: double
Length: double
Diameter: double
Height: double
Whole_weight: double
Shucked_weight: double
Viscera_weight: double
Shell_weight: double
Class_number_of_rings: double
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 1363
to
{'A1': Value(dtype='float64', id=None), 'A2': Value(dtype='float64', id=None), 'A3': Value(dtype='float64', id=None), 'A4': Value(dtype='float64', id=None), 'A5': Value(dtype='float64', id=None), 'A6': Value(dtype='float64', id=None), 'A7': Value(dtype='float64', id=None), 'A8': Value(dtype='float64', id=None), 'A9': Value(dtype='float64', id=None), 'A10': Value(dtype='float64', id=None), 'A11': Value(dtype='float64', id=None), 'A12': Value(dtype='float64', id=None), 'A13': Value(dtype='float64', id=None), 'A14': Value(dtype='float64', id=None), 'A15': 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 9 new columns ({'Length', 'Diameter', 'Sex', 'Shucked_weight', 'Whole_weight', 'Viscera_weight', 'Height', 'Class_number_of_rings', 'Shell_weight'}) and 15 missing columns ({'A9', 'A15', 'A8', 'A7', 'A13', 'A2', 'A11', 'A12', 'A1', 'A14', 'A3', 'A10', 'A5', 'A4', 'A6'}).
This happened while the csv dataset builder was generating data using
hf://datasets/QuniteZone/QuniteZone_Datasets/abalone.csv (at revision 2533349822333915aa2110737820f5bf706458cb)
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.
A1
float64 | A2
float64 | A3
float64 | A4
float64 | A5
float64 | A6
float64 | A7
float64 | A8
float64 | A9
float64 | A10
float64 | A11
float64 | A12
float64 | A13
float64 | A14
float64 | A15
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1
| 65
| 168
| 1
| 3
| 3
| 39
| 0
| 0
| 1
| 1
| 1
| 32
| 161
| 0
|
0
| 72
| 123
| 1
| 7
| 3
| 5
| 0
| 0
| 1
| 0
| 1
| 53
| 1
| 0
|
0
| 142
| 52
| 0
| 3
| 3
| 31
| 0
| 0
| 1
| 1
| 1
| 98
| 1
| 0
|
0
| 60
| 169
| 0
| 4
| 2
| 1
| 1
| 1
| 12
| 1
| 1
| 1
| 1
| 1
|
1
| 44
| 134
| 1
| 5
| 3
| 46
| 1
| 1
| 15
| 0
| 1
| 18
| 68
| 1
|
0
| 4
| 20
| 1
| 7
| 6
| 37
| 1
| 1
| 3
| 0
| 1
| 32
| 1
| 1
|
1
| 16
| 119
| 1
| 2
| 3
| 4
| 0
| 0
| 1
| 0
| 1
| 18
| 50
| 0
|
0
| 330
| 94
| 1
| 10
| 6
| 66
| 1
| 1
| 7
| 0
| 1
| 12
| 120
| 1
|
1
| 126
| 33
| 0
| 1
| 6
| 65
| 0
| 0
| 1
| 0
| 1
| 61
| 117
| 0
|
0
| 315
| 125
| 1
| 3
| 6
| 100
| 1
| 1
| 4
| 1
| 1
| 32
| 36
| 0
|
1
| 183
| 52
| 1
| 13
| 6
| 81
| 1
| 1
| 5
| 1
| 1
| 89
| 144
| 1
|
1
| 248
| 102
| 1
| 10
| 6
| 85
| 1
| 1
| 7
| 1
| 1
| 148
| 1
| 1
|
1
| 49
| 40
| 0
| 7
| 6
| 34
| 1
| 1
| 4
| 1
| 1
| 45
| 79
| 0
|
1
| 198
| 102
| 1
| 13
| 6
| 104
| 1
| 1
| 7
| 1
| 1
| 1
| 150
| 1
|
1
| 329
| 69
| 1
| 7
| 3
| 56
| 0
| 0
| 1
| 1
| 1
| 107
| 1
| 0
|
1
| 284
| 116
| 1
| 3
| 3
| 2
| 0
| 0
| 1
| 0
| 1
| 1
| 196
| 1
|
1
| 142
| 95
| 1
| 8
| 3
| 104
| 1
| 1
| 3
| 1
| 1
| 109
| 1
| 1
|
0
| 33
| 139
| 1
| 5
| 3
| 20
| 1
| 1
| 3
| 0
| 1
| 26
| 124
| 1
|
1
| 42
| 40
| 0
| 3
| 3
| 4
| 0
| 0
| 1
| 0
| 1
| 45
| 5
| 0
|
0
| 69
| 111
| 1
| 10
| 3
| 60
| 1
| 1
| 8
| 0
| 1
| 41
| 202
| 1
|
0
| 129
| 20
| 1
| 5
| 3
| 2
| 0
| 0
| 1
| 0
| 1
| 92
| 151
| 0
|
0
| 35
| 20
| 0
| 5
| 3
| 16
| 1
| 0
| 1
| 1
| 1
| 53
| 1
| 0
|
1
| 246
| 42
| 1
| 1
| 3
| 5
| 0
| 0
| 1
| 0
| 1
| 57
| 1
| 0
|
1
| 250
| 52
| 1
| 3
| 3
| 6
| 1
| 0
| 1
| 0
| 1
| 53
| 1
| 0
|
1
| 38
| 146
| 1
| 5
| 3
| 21
| 0
| 0
| 1
| 0
| 1
| 24
| 101
| 0
|
1
| 176
| 46
| 1
| 12
| 6
| 93
| 1
| 1
| 4
| 1
| 1
| 1
| 1
| 1
|
1
| 70
| 5
| 0
| 3
| 3
| 4
| 0
| 0
| 1
| 0
| 1
| 69
| 44
| 0
|
1
| 181
| 74
| 0
| 7
| 6
| 48
| 1
| 1
| 2
| 1
| 1
| 63
| 235
| 1
|
0
| 155
| 175
| 1
| 7
| 3
| 47
| 1
| 1
| 2
| 0
| 1
| 77
| 20
| 1
|
1
| 77
| 66
| 1
| 7
| 3
| 28
| 1
| 1
| 12
| 1
| 1
| 18
| 186
| 1
|
1
| 118
| 26
| 1
| 7
| 6
| 78
| 1
| 1
| 4
| 1
| 1
| 106
| 66
| 1
|
0
| 47
| 160
| 0
| 13
| 6
| 1
| 0
| 0
| 1
| 1
| 1
| 51
| 28
| 0
|
1
| 305
| 43
| 0
| 7
| 6
| 114
| 1
| 0
| 1
| 1
| 1
| 69
| 50
| 0
|
1
| 77
| 169
| 1
| 8
| 6
| 50
| 1
| 1
| 12
| 1
| 1
| 100
| 92
| 1
|
1
| 259
| 40
| 1
| 6
| 3
| 123
| 0
| 1
| 2
| 1
| 1
| 115
| 54
| 0
|
1
| 348
| 204
| 0
| 0
| 0
| 2
| 0
| 1
| 3
| 0
| 1
| 1
| 102
| 0
|
1
| 95
| 180
| 1
| 5
| 3
| 65
| 1
| 0
| 1
| 1
| 0
| 3
| 1
| 1
|
1
| 236
| 191
| 1
| 8
| 3
| 111
| 1
| 1
| 7
| 1
| 1
| 20
| 1
| 1
|
0
| 282
| 132
| 1
| 7
| 3
| 106
| 1
| 1
| 7
| 1
| 1
| 1
| 164
| 1
|
0
| 280
| 73
| 1
| 13
| 3
| 123
| 1
| 1
| 3
| 1
| 1
| 155
| 178
| 1
|
1
| 78
| 1
| 1
| 12
| 3
| 3
| 1
| 0
| 1
| 0
| 1
| 1
| 1
| 1
|
1
| 71
| 46
| 0
| 5
| 3
| 15
| 0
| 0
| 1
| 1
| 1
| 38
| 42
| 0
|
1
| 115
| 37
| 1
| 13
| 6
| 31
| 1
| 0
| 1
| 0
| 1
| 1
| 216
| 1
|
1
| 338
| 18
| 1
| 7
| 3
| 16
| 1
| 1
| 4
| 1
| 1
| 63
| 1
| 0
|
1
| 84
| 14
| 0
| 7
| 3
| 2
| 0
| 1
| 3
| 0
| 1
| 40
| 7
| 0
|
0
| 50
| 156
| 1
| 10
| 3
| 19
| 1
| 1
| 3
| 1
| 1
| 14
| 1
| 1
|
0
| 90
| 52
| 0
| 7
| 3
| 5
| 0
| 0
| 1
| 0
| 1
| 43
| 1
| 0
|
1
| 8
| 2
| 1
| 7
| 3
| 2
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
|
0
| 141
| 55
| 0
| 9
| 6
| 47
| 0
| 0
| 1
| 0
| 1
| 91
| 18
| 0
|
0
| 308
| 196
| 1
| 7
| 3
| 93
| 1
| 1
| 15
| 0
| 1
| 1
| 188
| 1
|
1
| 173
| 82
| 1
| 3
| 3
| 14
| 0
| 0
| 1
| 1
| 1
| 84
| 1
| 0
|
1
| 53
| 90
| 0
| 2
| 6
| 2
| 0
| 0
| 1
| 0
| 1
| 45
| 50
| 0
|
1
| 129
| 5
| 0
| 3
| 3
| 3
| 0
| 0
| 1
| 0
| 1
| 76
| 185
| 0
|
1
| 34
| 52
| 0
| 7
| 3
| 54
| 0
| 0
| 1
| 1
| 1
| 36
| 7
| 0
|
1
| 123
| 78
| 0
| 10
| 6
| 87
| 0
| 1
| 3
| 1
| 1
| 119
| 2
| 0
|
1
| 126
| 46
| 1
| 8
| 3
| 47
| 1
| 1
| 12
| 1
| 1
| 140
| 30
| 1
|
1
| 239
| 119
| 1
| 5
| 4
| 73
| 1
| 1
| 2
| 0
| 1
| 1
| 115
| 1
|
0
| 216
| 66
| 1
| 2
| 6
| 6
| 0
| 0
| 1
| 0
| 1
| 92
| 86
| 0
|
1
| 257
| 101
| 0
| 8
| 3
| 69
| 1
| 0
| 1
| 1
| 1
| 16
| 173
| 1
|
1
| 321
| 177
| 1
| 6
| 3
| 31
| 1
| 1
| 5
| 1
| 1
| 69
| 1
| 1
|
1
| 262
| 102
| 1
| 2
| 4
| 52
| 0
| 0
| 1
| 1
| 1
| 46
| 1
| 0
|
0
| 84
| 25
| 1
| 8
| 3
| 7
| 0
| 1
| 2
| 1
| 1
| 86
| 5
| 0
|
1
| 28
| 55
| 1
| 2
| 3
| 37
| 1
| 1
| 3
| 0
| 1
| 38
| 94
| 1
|
0
| 243
| 82
| 1
| 2
| 4
| 14
| 0
| 0
| 1
| 0
| 0
| 170
| 1
| 0
|
0
| 90
| 17
| 1
| 10
| 6
| 37
| 1
| 0
| 1
| 0
| 1
| 98
| 141
| 1
|
1
| 253
| 149
| 1
| 13
| 6
| 107
| 1
| 1
| 9
| 0
| 1
| 1
| 1
| 1
|
0
| 38
| 6
| 1
| 10
| 3
| 2
| 0
| 0
| 1
| 1
| 1
| 124
| 1
| 0
|
1
| 58
| 169
| 1
| 2
| 3
| 14
| 1
| 0
| 1
| 1
| 1
| 32
| 43
| 0
|
1
| 160
| 71
| 1
| 0
| 0
| 1
| 0
| 1
| 6
| 0
| 1
| 61
| 64
| 0
|
1
| 120
| 48
| 1
| 12
| 6
| 44
| 1
| 1
| 13
| 1
| 1
| 160
| 131
| 1
|
1
| 290
| 214
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
|
0
| 152
| 43
| 1
| 8
| 6
| 2
| 0
| 1
| 4
| 0
| 1
| 1
| 29
| 0
|
1
| 140
| 40
| 1
| 8
| 3
| 43
| 0
| 0
| 1
| 0
| 1
| 69
| 1
| 0
|
1
| 130
| 103
| 0
| 7
| 4
| 37
| 1
| 1
| 9
| 1
| 1
| 47
| 8
| 1
|
1
| 240
| 208
| 1
| 9
| 7
| 131
| 1
| 1
| 12
| 0
| 1
| 1
| 158
| 1
|
1
| 211
| 92
| 1
| 10
| 3
| 73
| 0
| 0
| 1
| 0
| 1
| 144
| 36
| 0
|
1
| 102
| 12
| 1
| 3
| 6
| 73
| 0
| 0
| 1
| 1
| 1
| 111
| 1
| 0
|
1
| 145
| 82
| 1
| 7
| 3
| 5
| 0
| 0
| 1
| 0
| 1
| 76
| 1
| 0
|
1
| 77
| 1
| 1
| 3
| 3
| 26
| 0
| 1
| 12
| 0
| 0
| 1
| 1
| 0
|
0
| 171
| 45
| 1
| 8
| 3
| 28
| 1
| 1
| 17
| 0
| 1
| 38
| 184
| 1
|
1
| 97
| 82
| 1
| 12
| 3
| 17
| 1
| 1
| 8
| 0
| 1
| 1
| 223
| 1
|
0
| 200
| 85
| 1
| 0
| 0
| 1
| 0
| 1
| 7
| 0
| 1
| 1
| 77
| 0
|
0
| 29
| 151
| 1
| 1
| 3
| 11
| 0
| 0
| 1
| 0
| 1
| 24
| 34
| 0
|
1
| 238
| 102
| 1
| 2
| 4
| 6
| 0
| 0
| 1
| 0
| 1
| 158
| 1
| 0
|
1
| 81
| 33
| 1
| 7
| 3
| 14
| 0
| 0
| 1
| 1
| 0
| 98
| 1
| 0
|
1
| 219
| 1
| 1
| 7
| 3
| 1
| 0
| 0
| 1
| 0
| 2
| 65
| 1
| 1
|
0
| 92
| 189
| 1
| 10
| 6
| 37
| 0
| 0
| 1
| 0
| 1
| 98
| 2
| 0
|
0
| 276
| 185
| 1
| 2
| 4
| 89
| 1
| 1
| 10
| 1
| 1
| 1
| 1
| 1
|
1
| 190
| 106
| 1
| 8
| 3
| 3
| 0
| 0
| 1
| 1
| 1
| 100
| 7
| 1
|
1
| 66
| 20
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 32
| 1
| 0
|
1
| 125
| 41
| 1
| 3
| 6
| 7
| 0
| 0
| 1
| 1
| 0
| 45
| 1
| 0
|
1
| 258
| 89
| 1
| 5
| 3
| 2
| 0
| 0
| 1
| 0
| 1
| 34
| 50
| 0
|
1
| 135
| 193
| 1
| 1
| 3
| 4
| 0
| 0
| 1
| 0
| 1
| 1
| 93
| 0
|
1
| 208
| 102
| 1
| 7
| 4
| 58
| 1
| 1
| 7
| 0
| 1
| 1
| 104
| 1
|
0
| 24
| 151
| 0
| 10
| 6
| 5
| 0
| 0
| 1
| 0
| 1
| 111
| 1
| 0
|
1
| 55
| 46
| 1
| 8
| 3
| 37
| 0
| 0
| 1
| 0
| 1
| 49
| 9
| 1
|
0
| 228
| 50
| 1
| 5
| 3
| 7
| 0
| 0
| 1
| 0
| 1
| 1
| 106
| 0
|
1
| 167
| 2
| 0
| 6
| 3
| 2
| 0
| 0
| 1
| 0
| 1
| 1
| 1
| 0
|
0
| 15
| 144
| 1
| 5
| 3
| 43
| 0
| 1
| 11
| 1
| 1
| 1
| 11
| 0
|
0
| 47
| 29
| 1
| 10
| 3
| 39
| 1
| 1
| 2
| 0
| 1
| 1
| 1
| 1
|
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