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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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