Datasets:

---

VedantPadwal

/

mnist

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 1 missing columns ({'label'})

This happened while the csv dataset builder was generating data using

hf://datasets/VedantPadwal/mnist/test.csv (at revision 23061c5172509304b9891b3ac36a4ea477809dbe)

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 2011, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 585, 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 2302, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2256, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              pixel0: int64
              pixel1: int64
              pixel2: int64
              pixel3: int64
              pixel4: int64
              pixel5: int64
              pixel6: int64
              pixel7: int64
              pixel8: int64
              pixel9: int64
              pixel10: int64
              pixel11: int64
              pixel12: int64
              pixel13: int64
              pixel14: int64
              pixel15: int64
              pixel16: int64
              pixel17: int64
              pixel18: int64
              pixel19: int64
              pixel20: int64
              pixel21: int64
              pixel22: int64
              pixel23: int64
              pixel24: int64
              pixel25: int64
              pixel26: int64
              pixel27: int64
              pixel28: int64
              pixel29: int64
              pixel30: int64
              pixel31: int64
              pixel32: int64
              pixel33: int64
              pixel34: int64
              pixel35: int64
              pixel36: int64
              pixel37: int64
              pixel38: int64
              pixel39: int64
              pixel40: int64
              pixel41: int64
              pixel42: int64
              pixel43: int64
              pixel44: int64
              pixel45: int64
              pixel46: int64
              pixel47: int64
              pixel48: int64
              pixel49: int64
              pixel50: int64
              pixel51: int64
              pixel52: int64
              pixel53: int64
              pixel54: int64
              pixel55: int64
              pixel56: int64
              pixel57: int64
              pixel58: int64
              pixel59: int64
              pixel60: int64
              pixel61: int64
              pixel62: int64
              pixel63: int64
              pixel64: int64
              pixel65: int64
              pixel66: int64
              pixel67: int64
              pixel68: int64
              pixel69: int64
              pixel70: int64
              pixel71: int64
              pixel72: int64
              pixel73: int64
              pixel74: int64
              pixel75: int64
              pixel76: int64
              pixel77: int64
              pixel78: int64
              pixel79: int64
              pixel80: int64
              pixel81: int64
              pixel82: int64
              pixel83: int64
              pixel84: int64
              pixel85: int64
              pixel86: int64
              pixel87: int64
              pixel88: int64
              pixel89: int64
              pixel90: int64
              pixel91: int64
              pixel92: int64
              pixel93: int64
              pixel94: int64
              pixel95: int64
              pixel96: int64
              pixel97: int64
              pixel98: int64
              pixel99: int64
              pixel100: 
              ...
              t64
              pixel697: int64
              pixel698: int64
              pixel699: int64
              pixel700: int64
              pixel701: int64
              pixel702: int64
              pixel703: int64
              pixel704: int64
              pixel705: int64
              pixel706: int64
              pixel707: int64
              pixel708: int64
              pixel709: int64
              pixel710: int64
              pixel711: int64
              pixel712: int64
              pixel713: int64
              pixel714: int64
              pixel715: int64
              pixel716: int64
              pixel717: int64
              pixel718: int64
              pixel719: int64
              pixel720: int64
              pixel721: int64
              pixel722: int64
              pixel723: int64
              pixel724: int64
              pixel725: int64
              pixel726: int64
              pixel727: int64
              pixel728: int64
              pixel729: int64
              pixel730: int64
              pixel731: int64
              pixel732: int64
              pixel733: int64
              pixel734: int64
              pixel735: int64
              pixel736: int64
              pixel737: int64
              pixel738: int64
              pixel739: int64
              pixel740: int64
              pixel741: int64
              pixel742: int64
              pixel743: int64
              pixel744: int64
              pixel745: int64
              pixel746: int64
              pixel747: int64
              pixel748: int64
              pixel749: int64
              pixel750: int64
              pixel751: int64
              pixel752: int64
              pixel753: int64
              pixel754: int64
              pixel755: int64
              pixel756: int64
              pixel757: int64
              pixel758: int64
              pixel759: int64
              pixel760: int64
              pixel761: int64
              pixel762: int64
              pixel763: int64
              pixel764: int64
              pixel765: int64
              pixel766: int64
              pixel767: int64
              pixel768: int64
              pixel769: int64
              pixel770: int64
              pixel771: int64
              pixel772: int64
              pixel773: int64
              pixel774: int64
              pixel775: int64
              pixel776: int64
              pixel777: int64
              pixel778: int64
              pixel779: int64
              pixel780: int64
              pixel781: int64
              pixel782: int64
              pixel783: int64
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 88635
              to
              {'label': Value(dtype='int64', id=None), 'pixel0': Value(dtype='int64', id=None), 'pixel1': Value(dtype='int64', id=None), 'pixel2': Value(dtype='int64', id=None), 'pixel3': Value(dtype='int64', id=None), 'pixel4': Value(dtype='int64', id=None), 'pixel5': Value(dtype='int64', id=None), 'pixel6': Value(dtype='int64', id=None), 'pixel7': Value(dtype='int64', id=None), 'pixel8': Value(dtype='int64', id=None), 'pixel9': Value(dtype='int64', id=None), 'pixel10': Value(dtype='int64', id=None), 'pixel11': Value(dtype='int64', id=None), 'pixel12': Value(dtype='int64', id=None), 'pixel13': Value(dtype='int64', id=None), 'pixel14': Value(dtype='int64', id=None), 'pixel15': Value(dtype='int64', id=None), 'pixel16': Value(dtype='int64', id=None), 'pixel17': Value(dtype='int64', id=None), 'pixel18': Value(dtype='int64', id=None), 'pixel19': Value(dtype='int64', id=None), 'pixel20': Value(dtype='int64', id=None), 'pixel21': Value(dtype='int64', id=None), 'pixel22': Value(dtype='int64', id=None), 'pixel23': Value(dtype='int64', id=None), 'pixel24': Value(dtype='int64', id=None), 'pixel25': Value(dtype='int64', id=None), 'pixel26': Value(dtype='int64', id=None), 'pixel27': Value(dtype='int64', id=None), 'pixel28': Value(dtype='int64', id=None), 'pixel29': Value(dtype='int64', id=None), 'pixel30': Value(dtype='int64', id=None), 'pixel31': Value(dtype='int64', id=None), 'pixel32': Value(dtype='int64', id=None), 'pixel33': Value(dtype='int64', id=None), 'pixel34': Value(dtype='int64', id=None),
              ...
              el749': Value(dtype='int64', id=None), 'pixel750': Value(dtype='int64', id=None), 'pixel751': Value(dtype='int64', id=None), 'pixel752': Value(dtype='int64', id=None), 'pixel753': Value(dtype='int64', id=None), 'pixel754': Value(dtype='int64', id=None), 'pixel755': Value(dtype='int64', id=None), 'pixel756': Value(dtype='int64', id=None), 'pixel757': Value(dtype='int64', id=None), 'pixel758': Value(dtype='int64', id=None), 'pixel759': Value(dtype='int64', id=None), 'pixel760': Value(dtype='int64', id=None), 'pixel761': Value(dtype='int64', id=None), 'pixel762': Value(dtype='int64', id=None), 'pixel763': Value(dtype='int64', id=None), 'pixel764': Value(dtype='int64', id=None), 'pixel765': Value(dtype='int64', id=None), 'pixel766': Value(dtype='int64', id=None), 'pixel767': Value(dtype='int64', id=None), 'pixel768': Value(dtype='int64', id=None), 'pixel769': Value(dtype='int64', id=None), 'pixel770': Value(dtype='int64', id=None), 'pixel771': Value(dtype='int64', id=None), 'pixel772': Value(dtype='int64', id=None), 'pixel773': Value(dtype='int64', id=None), 'pixel774': Value(dtype='int64', id=None), 'pixel775': Value(dtype='int64', id=None), 'pixel776': Value(dtype='int64', id=None), 'pixel777': Value(dtype='int64', id=None), 'pixel778': Value(dtype='int64', id=None), 'pixel779': Value(dtype='int64', id=None), 'pixel780': Value(dtype='int64', id=None), 'pixel781': Value(dtype='int64', id=None), 'pixel782': Value(dtype='int64', id=None), 'pixel783': 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 1321, 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 935, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1027, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1122, 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 1882, 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 2013, 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 1 missing columns ({'label'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/VedantPadwal/mnist/test.csv (at revision 23061c5172509304b9891b3ac36a4ea477809dbe)
              
              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)