Datasets:

---

Kyo-Kai

/

SHM_thesis

like 0

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 15 new columns ({'1.600000000000000311e-01.3', '1.600000000000000311e-01.8', '1.600000000000000311e-01.6', '1.049999999999999961e-01.4', '1.049999999999999961e-01', '1.600000000000000311e-01.5', '1.049999999999999961e-01.3', '1.600000000000000311e-01.1', '1.049999999999999961e-01.2', '1.600000000000000311e-01.7', '1.600000000000000311e-01.2', '1.049999999999999961e-01.1', '1.600000000000000311e-01.4', '1.600000000000000311e-01', '1.600000000000000311e-01.9'}) and 39 missing columns ({'24', '10', '1', '15', '37', '34', '33', '31', '21', '19', '16', '36', '29', '26', '5', '14', '17', '6', '28', '4', '0', '35', '27', '3', '23', '2', '32', '38', '9', '22', '11', '25', '7', '18', '8', '30', '20', '12', '13'}).

This happened while the csv dataset builder was generating data using

hf://datasets/Kyo-Kai/SHM_thesis/output_truss/A_combo_output12.csv (at revision 2a1ae53f55bf4670b7f309a3abca37792f0b6052)

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 623, 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
              1.600000000000000311e-01: double
              1.600000000000000311e-01.1: double
              1.049999999999999961e-01: double
              1.600000000000000311e-01.2: double
              1.600000000000000311e-01.3: double
              1.049999999999999961e-01.1: double
              1.600000000000000311e-01.4: double
              1.600000000000000311e-01.5: double
              1.049999999999999961e-01.2: double
              1.600000000000000311e-01.6: double
              1.600000000000000311e-01.7: double
              1.049999999999999961e-01.3: double
              1.600000000000000311e-01.8: double
              1.600000000000000311e-01.9: double
              1.049999999999999961e-01.4: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 2548
              to
              {'0': Value(dtype='float64', id=None), '1': Value(dtype='float64', id=None), '2': Value(dtype='float64', id=None), '3': Value(dtype='float64', id=None), '4': Value(dtype='float64', id=None), '5': Value(dtype='float64', id=None), '6': Value(dtype='float64', id=None), '7': Value(dtype='float64', id=None), '8': Value(dtype='float64', id=None), '9': Value(dtype='float64', id=None), '10': Value(dtype='float64', id=None), '11': Value(dtype='float64', id=None), '12': Value(dtype='float64', id=None), '13': Value(dtype='float64', id=None), '14': Value(dtype='float64', id=None), '15': Value(dtype='float64', id=None), '16': Value(dtype='float64', id=None), '17': Value(dtype='float64', id=None), '18': Value(dtype='float64', id=None), '19': Value(dtype='float64', id=None), '20': Value(dtype='float64', id=None), '21': Value(dtype='float64', id=None), '22': Value(dtype='float64', id=None), '23': Value(dtype='float64', id=None), '24': Value(dtype='float64', id=None), '25': Value(dtype='float64', id=None), '26': Value(dtype='float64', id=None), '27': Value(dtype='float64', id=None), '28': Value(dtype='float64', id=None), '29': Value(dtype='float64', id=None), '30': Value(dtype='float64', id=None), '31': Value(dtype='float64', id=None), '32': Value(dtype='float64', id=None), '33': Value(dtype='float64', id=None), '34': Value(dtype='float64', id=None), '35': Value(dtype='float64', id=None), '36': Value(dtype='float64', id=None), '37': Value(dtype='float64', id=None), '38': Value(dtype='float64', 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 1438, 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 1050, 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 15 new columns ({'1.600000000000000311e-01.3', '1.600000000000000311e-01.8', '1.600000000000000311e-01.6', '1.049999999999999961e-01.4', '1.049999999999999961e-01', '1.600000000000000311e-01.5', '1.049999999999999961e-01.3', '1.600000000000000311e-01.1', '1.049999999999999961e-01.2', '1.600000000000000311e-01.7', '1.600000000000000311e-01.2', '1.049999999999999961e-01.1', '1.600000000000000311e-01.4', '1.600000000000000311e-01', '1.600000000000000311e-01.9'}) and 39 missing columns ({'24', '10', '1', '15', '37', '34', '33', '31', '21', '19', '16', '36', '29', '26', '5', '14', '17', '6', '28', '4', '0', '35', '27', '3', '23', '2', '32', '38', '9', '22', '11', '25', '7', '18', '8', '30', '20', '12', '13'}).
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/Kyo-Kai/SHM_thesis/output_truss/A_combo_output12.csv (at revision 2a1ae53f55bf4670b7f309a3abca37792f0b6052)
              
              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)