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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 21 new columns ({'nr.employed', 'previous', 'cons.price.idx', 'age', 'day_of_week', 'duration', 'contact', 'campaign', 'emp.var.rate', 'y', 'education', 'pdays', 'marital', 'job', 'poutcome', 'cons.conf.idx', 'euribor3m', 'default', 'month', 'loan', 'housing'}) and 6 missing columns ({'industry', 'salary', 'salary_high', 'experience', 'salary_low', 'exams'}).
This happened while the csv dataset builder was generating data using
hf://datasets/supersam7/actuary_salaries/bank_loans.csv (at revision 007a5359af8ffc55b3b387ced445d091f71108de)
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 1871, in _prepare_split_single
writer.write_table(table)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 643, 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 2293, in table_cast
return cast_table_to_schema(table, schema)
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2241, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
age: int64
job: string
marital: string
education: string
default: string
housing: string
loan: string
contact: string
month: string
day_of_week: string
duration: int64
campaign: int64
pdays: int64
previous: int64
poutcome: string
emp.var.rate: double
cons.price.idx: double
cons.conf.idx: double
euribor3m: double
nr.employed: double
y: string
-- schema metadata --
pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2673
to
{'industry': Value(dtype='string', id=None), 'exams': Value(dtype='string', id=None), 'experience': Value(dtype='int64', id=None), 'salary': Value(dtype='string', id=None), 'salary_low': Value(dtype='int64', id=None), 'salary_high': 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 1436, 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 1053, in convert_to_parquet
builder.download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 925, in download_and_prepare
self._download_and_prepare(
File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1001, 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 1742, 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 1873, 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 21 new columns ({'nr.employed', 'previous', 'cons.price.idx', 'age', 'day_of_week', 'duration', 'contact', 'campaign', 'emp.var.rate', 'y', 'education', 'pdays', 'marital', 'job', 'poutcome', 'cons.conf.idx', 'euribor3m', 'default', 'month', 'loan', 'housing'}) and 6 missing columns ({'industry', 'salary', 'salary_high', 'experience', 'salary_low', 'exams'}).
This happened while the csv dataset builder was generating data using
hf://datasets/supersam7/actuary_salaries/bank_loans.csv (at revision 007a5359af8ffc55b3b387ced445d091f71108de)
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.
industry string | exams string | experience int64 | salary string | salary_low int64 | salary_high int64 |
|---|---|---|---|---|---|
Casualty | 1 Exam | 1 | 48 - 65 | 48 | 65 |
Casualty | 2 Exams | 1 | 50 - 71 | 50 | 71 |
Casualty | 3 Exams | 1 | 54 - 77 | 54 | 77 |
Casualty | 4 Exams | 1 | 58 - 82 | 58 | 82 |
Casualty | 1 Exam | 3 | 54 - 72 | 54 | 72 |
Casualty | 2 Exams | 3 | 57 - 81 | 57 | 81 |
Casualty | 3 Exams | 3 | 62 - 87 | 62 | 87 |
Casualty | 4 Exams | 3 | 63 - 91 | 63 | 91 |
Casualty | 5 Exams | 3 | 65 - 95 | 65 | 95 |
Casualty | 6 Exams | 3 | 70 - 97 | 70 | 97 |
Casualty | 7 Exams | 3 | 72 - 99 | 72 | 99 |
Casualty | ACAS | 3 | 85 - 112 | 85 | 112 |
Casualty | 1 Exam | 5 | 55 - 80 | 55 | 80 |
Casualty | 2 Exams | 5 | 58 - 83 | 58 | 83 |
Casualty | 3 Exams | 5 | 66 - 100 | 66 | 100 |
Casualty | 4 Exams | 5 | 71 - 107 | 71 | 7 |
Casualty | 5 Exams | 5 | 73 - 111 | 73 | 11 |
Casualty | 6 Exams | 5 | 76 - 116 | 76 | 16 |
Casualty | 7 Exams | 5 | 85 - 118 | 85 | 18 |
Casualty | ACAS | 5 | 90 - 138 | 90 | 38 |
Casualty | FCAS | 5 | 114 - 166 | 11 | 66 |
Casualty | 2 Exams | 7 | 60 - 92 | 60 | 92 |
Casualty | 3 Exams | 7 | 79 - 106 | 79 | 6 |
Casualty | 4 Exams | 7 | 82 - 109 | 82 | 9 |
Casualty | 5 Exams | 7 | 84 - 118 | 84 | 18 |
Casualty | 6 Exams | 7 | 88 - 126 | 88 | 26 |
Casualty | 7 Exams | 7 | 94 - 135 | 94 | 35 |
Casualty | ACAS | 7 | 98 - 154 | 98 | 54 |
Casualty | FCAS | 7 | 116 - 190 | 116 | 190 |
Casualty | 2 Exams | 10 | 60 - 92 | 60 | 92 |
Casualty | 3 Exams | 10 | 79 - 106 | 79 | 106 |
Casualty | 4 Exams | 10 | 82 - 109 | 82 | 109 |
Casualty | 5 Exams | 10 | 84 - 118 | 84 | 118 |
Casualty | 6 Exams | 10 | 88 - 126 | 88 | 126 |
Casualty | 7 Exams | 10 | 94 - 135 | 94 | 135 |
Casualty | ACAS | 10 | 98 - 154 | 98 | 154 |
Casualty | FCAS | 10 | 116 - 190 | 116 | 190 |
Casualty | 3 Exams | 15 | 94 - 141 | 94 | 141 |
Casualty | 4 Exams | 15 | 100 - 159 | 100 | 159 |
Casualty | 5 Exams | 15 | 102 - 167 | 102 | 167 |
Casualty | 6 Exams | 15 | 107 - 172 | 107 | 172 |
Casualty | 7 Exams | 15 | 110 - 210 | 110 | 210 |
Casualty | ACAS | 15 | 144 - 369 | 144 | 369 |
Casualty | ACAS | 20 | 124 - 273 | 124 | 273 |
Casualty | FCAS | 20 | 158 - 447 | 158 | 447 |
Health | 1 | 1 | 49 - 60 | 49 | 60 |
Health | 2 | 1 | 54 - 66 | 54 | 66 |
Health | 3 | 1 | 56 - 72 | 56 | 72 |
Health | 4 | 1 | 58 - 74 | 58 | 74 |
Health | 1 | 3 | 54 - 69 | 54 | 69 |
Health | 2 | 3 | 56 - 76 | 56 | 76 |
Health | 3 | 3 | 57 - 83 | 57 | 83 |
Health | 4 | 3 | 62 - 89 | 62 | 89 |
Health | 5 | 3 | 68 - 93 | 68 | 93 |
Health | ASA | 3 | 78 - 120 | 78 | 120 |
Health | 1 | 5 | 57 - 76 | 57 | 76 |
Health | 2 | 5 | 62 - 84 | 62 | 84 |
Health | 3 | 5 | 63 - 90 | 63 | 90 |
Health | 4 | 5 | 70 - 103 | 70 | 103 |
Health | 5 | 5 | 72 - 110 | 72 | 110 |
Health | ASA | 5 | 80 - 126 | 80 | 126 |
Health | FSA | 5 | 106 - 165 | 106 | 165 |
Health | 2 | 7 | 65 - 89 | 65 | 89 |
Health | 3 | 7 | 67 - 96 | 67 | 96 |
Health | 4 | 7 | 80 - 107 | 80 | 107 |
Health | 5 | 7 | 82 - 121 | 82 | 121 |
Health | ASA | 7 | 85 - 134 | 85 | 134 |
Health | FSA | 7 | 112 - 174 | 112 | 174 |
Health | 4 | 10 | 82 - 115 | 82 | 115 |
Health | 5 | 10 | 84 - 126 | 84 | 126 |
Health | ASA | 10 | 94 - 150 | 94 | 150 |
Health | FSA | 10 | 121 - 210 | 121 | 210 |
Health | ASA | 15 | 104 - 204 | 104 | 204 |
Health | FSA | 15 | 140 - 273 | 140 | 273 |
Health | ASA | 20 | 133 - 240 | 133 | 240 |
Health | FSA | 20 | 155 - 390 | 155 | 390 |
Life | 1 | 1 | 51 - 61 | 51 | 61 |
Life | 2 | 1 | 52 - 64 | 52 | 64 |
Life | 3 | 1 | 55 - 69 | 55 | 69 |
Life | 4 | 1 | 57 - 76 | 57 | 76 |
Life | 1 | 3 | 55 - 70 | 55 | 70 |
Life | 2 | 3 | 56 - 78 | 56 | 78 |
Life | 3 | 3 | 58 - 81 | 58 | 81 |
Life | 4 | 3 | 64 - 92 | 64 | 92 |
Life | 5 | 3 | 71 - 103 | 71 | 103 |
Life | ASA | 3 | 75 - 117 | 75 | 117 |
Life | 1 | 5 | 56 - 74 | 56 | 74 |
Life | 2 | 5 | 60 - 85 | 60 | 85 |
Life | 3 | 5 | 63 - 94 | 63 | 94 |
Life | 4 | 5 | 68 - 100 | 68 | 100 |
Life | 5 | 5 | 72 - 109 | 72 | 109 |
Life | ASA | 5 | 76 - 125 | 76 | 125 |
Life | FSA | 5 | 104 - 156 | 104 | 156 |
Life | 2 | 7 | 63 - 92 | 63 | 92 |
Life | 3 | 7 | 69 - 100 | 69 | 100 |
Life | 4 | 7 | 74 - 104 | 74 | 104 |
Life | 5 | 7 | 76 - 120 | 76 | 120 |
Life | ASA | 7 | 84 - 147 | 84 | 147 |
Life | FSA | 7 | 122 - 202 | 122 | 202 |
Life | 4 | 10 | 76 - 117 | 76 | 117 |
End of preview.
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