Datasets:

---

Willgnner-Santos

/

Prova-Pratica-Case-Online-FIESC

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 9 new columns ({'113', '108', '114', '111', '106', '107', '110', '109', '112'})

This happened while the csv dataset builder was generating data using

zip://Dados/Classe_5.csv::/tmp/hf-datasets-cache/medium/datasets/56641371433479-config-parquet-and-info-Willgnner-Santos-Prova-Pr-29dfac4f/hub/datasets--Willgnner-Santos--Prova-Pratica-Case-Online-FIESC/snapshots/40b634bfa8a16b969763e3eff4be8fc737081a13/Dados.zip

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 "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1831, in _prepare_split_single
                  writer.write_table(table)
                File "/usr/local/lib/python3.12/site-packages/datasets/arrow_writer.py", line 714, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              0: double
              1: double
              2: double
              3: double
              4: double
              5: double
              6: double
              7: double
              8: double
              9: double
              10: double
              11: double
              12: double
              13: double
              14: double
              15: double
              16: double
              17: double
              18: double
              19: double
              20: double
              21: double
              22: double
              23: double
              24: double
              25: double
              26: double
              27: double
              28: double
              29: double
              30: double
              31: double
              32: double
              33: double
              34: double
              35: double
              36: double
              37: double
              38: double
              39: double
              40: double
              41: double
              42: double
              43: double
              44: double
              45: double
              46: double
              47: double
              48: double
              49: double
              50: double
              51: double
              52: double
              53: double
              54: double
              55: double
              56: double
              57: double
              58: double
              59: double
              60: double
              61: double
              62: double
              63: double
              64: double
              65: double
              66: double
              67: double
              68: double
              69: double
              70: double
              71: double
              72: double
              73: double
              74: double
              75: double
              76: double
              77: double
              78: double
              79: double
              80: double
              81: double
              82: double
              83: double
              84: double
              85: double
              86: double
              87: double
              88: double
              89: double
              90: double
              91: double
              92: double
              93: double
              94: double
              95: double
              96: double
              97: double
              98: double
              99: double
              100: double
              101: double
              102: double
              103: double
              104: double
              105: double
              106: double
              107: double
              108: double
              109: double
              110: double
              111: double
              112: double
              113: double
              114: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 12347
              to
              {'0': Value('float64'), '1': Value('float64'), '2': Value('float64'), '3': Value('float64'), '4': Value('float64'), '5': Value('float64'), '6': Value('float64'), '7': Value('float64'), '8': Value('float64'), '9': Value('float64'), '10': Value('float64'), '11': Value('float64'), '12': Value('float64'), '13': Value('float64'), '14': Value('float64'), '15': Value('float64'), '16': Value('float64'), '17': Value('float64'), '18': Value('float64'), '19': Value('float64'), '20': Value('float64'), '21': Value('float64'), '22': Value('float64'), '23': Value('float64'), '24': Value('float64'), '25': Value('float64'), '26': Value('float64'), '27': Value('float64'), '28': Value('float64'), '29': Value('float64'), '30': Value('float64'), '31': Value('float64'), '32': Value('float64'), '33': Value('float64'), '34': Value('float64'), '35': Value('float64'), '36': Value('float64'), '37': Value('float64'), '38': Value('float64'), '39': Value('float64'), '40': Value('float64'), '41': Value('float64'), '42': Value('float64'), '43': Value('float64'), '44': Value('float64'), '45': Value('float64'), '46': Value('float64'), '47': Value('float64'), '48': Value('float64'), '49': Value('float64'), '50': Value('float64'), '51': Value('float64'), '52': Value('float64'), '53': Value('float64'), '54': Value('float64'), '55': Value('float64'), '56': Value('float64'), '57': Value('float64'), '58': Value('float64'), '59': Value('float64'), '60': Value('float64'), '61': Value('float64'), '62': Value('float64'), '63': Value('float64'), '64': Value('float64'), '65': Value('float64'), '66': Value('float64'), '67': Value('float64'), '68': Value('float64'), '69': Value('float64'), '70': Value('float64'), '71': Value('float64'), '72': Value('float64'), '73': Value('float64'), '74': Value('float64'), '75': Value('float64'), '76': Value('float64'), '77': Value('float64'), '78': Value('float64'), '79': Value('float64'), '80': Value('float64'), '81': Value('float64'), '82': Value('float64'), '83': Value('float64'), '84': Value('float64'), '85': Value('float64'), '86': Value('float64'), '87': Value('float64'), '88': Value('float64'), '89': Value('float64'), '90': Value('float64'), '91': Value('float64'), '92': Value('float64'), '93': Value('float64'), '94': Value('float64'), '95': Value('float64'), '96': Value('float64'), '97': Value('float64'), '98': Value('float64'), '99': Value('float64'), '100': Value('float64'), '101': Value('float64'), '102': Value('float64'), '103': Value('float64'), '104': Value('float64'), '105': Value('float64')}
              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 1339, 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 972, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 894, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 970, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1702, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1833, 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 ({'113', '108', '114', '111', '106', '107', '110', '109', '112'})
              
              This happened while the csv dataset builder was generating data using
              
              zip://Dados/Classe_5.csv::/tmp/hf-datasets-cache/medium/datasets/56641371433479-config-parquet-and-info-Willgnner-Santos-Prova-Pr-29dfac4f/hub/datasets--Willgnner-Santos--Prova-Pratica-Case-Online-FIESC/snapshots/40b634bfa8a16b969763e3eff4be8fc737081a13/Dados.zip
              
              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)