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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
fields: list<item: list<item: list<item: list<item: float>>>>
  child 0, item: list<item: list<item: list<item: float>>>
      child 0, item: list<item: list<item: float>>
          child 0, item: list<item: float>
              child 0, item: float
to
{'fields': Array4D(shape=(32, 8, 128, 128), dtype='float32'), 'nominal_condition': Array2D(shape=(32, 4), dtype='float32'), 'real_condition': Array2D(shape=(32, 4), dtype='float32')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 609, in wrapped
                  for item in generator(*args, **kwargs):
                              ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/hdf5/hdf5.py", line 91, in _generate_tables
                  yield Key(file_idx, batch_idx), cast_table_to_features(pa_table, self.info.features)
                                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2192, in cast_table_to_features
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              fields: list<item: list<item: list<item: list<item: float>>>>
                child 0, item: list<item: list<item: list<item: float>>>
                    child 0, item: list<item: list<item: float>>
                        child 0, item: list<item: float>
                            child 0, item: float
              to
              {'fields': Array4D(shape=(32, 8, 128, 128), dtype='float32'), 'nominal_condition': Array2D(shape=(32, 4), dtype='float32'), 'real_condition': Array2D(shape=(32, 4), dtype='float32')}
              because column names don't match
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1342, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 907, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1736, 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 1919, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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fields
array 4D
nominal_condition
array 2D
real_condition
array 2D
[[[[104042.7578125,103938.03125,103919.2578125,103884.0390625,103835.9453125,103778.484375,103712.46(...TRUNCATED)
[[5.384925842285156,4.436269283294678,18.324588775634766,6.983870983123779],[5.384925842285156,4.436(...TRUNCATED)
[[5.341846466064453,4.49120569229126,18.58052635192871,6.808815956115723],[5.434372901916504,4.55296(...TRUNCATED)
[[[[102598.0390625,102547.46875,102534.9765625,102516.3046875,102491.84375,102463.015625,102430.1875(...TRUNCATED)
[[7.884925842285156,3.102936029434204,14.324588775634766,8.412442207336426],[7.884925842285156,3.102(...TRUNCATED)
[[7.878109931945801,3.145479202270508,13.989706993103027,8.347661972045898],[8.11386775970459,3.0765(...TRUNCATED)
[[[[103243.6875,103160.796875,103142.7109375,103114.9453125,103077.8828125,103034.1015625,102984.265(...TRUNCATED)
[[6.634925842285156,3.7696027755737305,16.324588775634766,6.269585132598877],[6.634925842285156,3.76(...TRUNCATED)
[[6.464804649353027,3.8468704223632812,16.167211532592773,6.371316909790039],[6.53316593170166,3.787(...TRUNCATED)
[[[[104704.890625,104548.0390625,104517.9375,104472.203125,104409.2890625,104334.5390625,104249.4296(...TRUNCATED)
[[9.134925842285156,4.880713939666748,10.324588775634766,7.698156833648682],[9.134925842285156,4.880(...TRUNCATED)
[[9.313030242919922,4.921929359436035,10.230025291442871,7.638960361480713],[9.067302703857422,4.958(...TRUNCATED)
[[[[102879.6953125,102829.2265625,102824.234375,102807.703125,102783.8984375,102754.71875,102720.570(...TRUNCATED)
[[6.009925842285156,3.5473804473876953,12.324588775634766,9.84101390838623],[6.009925842285156,3.547(...TRUNCATED)
[[6.091699123382568,3.5026228427886963,12.181334495544434,9.778738975524902],[6.028494834899902,3.55(...TRUNCATED)
[[[[103842.1875,103743.6875,103723.6171875,103689.0546875,103642.5703125,103587.359375,103524.15625,(...TRUNCATED)
[[8.509925842285156,4.214046955108643,19.124588012695312,9.126728057861328],[8.509925842285156,4.214(...TRUNCATED)
[[8.876568794250488,4.027876377105713,18.85281753540039,8.70348834991455],[8.759965896606445,4.29713(...TRUNCATED)
[[[[104203.875,104065.890625,104038.5234375,103997.7890625,103942.2265625,103876.484375,103801.84375(...TRUNCATED)
[[7.259925842285156,4.658491611480713,15.124588966369629,5.555299282073975],[7.259925842285156,4.658(...TRUNCATED)
[[7.151151180267334,4.744236946105957,15.201214790344238,5.86932897567749],[7.41375207901001,4.70141(...TRUNCATED)
[[[[102710.046875,102641.8046875,102625.953125,102604.7890625,102576.734375,102543.84375,102506.7343(...TRUNCATED)
[[9.759925842285156,3.3251583576202393,17.124588012695312,6.881830215454102],[9.759925842285156,3.32(...TRUNCATED)
[[9.816727638244629,3.3587911128997803,16.814970016479492,6.886974811553955],[9.22649097442627,3.345(...TRUNCATED)
[[[[103374.4609375,103303.203125,103293.421875,103269.953125,103236.8984375,103196.796875,103150.195(...TRUNCATED)
[[5.072425842285156,3.9918248653411865,11.124588966369629,8.310401916503906],[5.072425842285156,3.99(...TRUNCATED)
[[4.993771076202393,4.061351299285889,11.025394439697266,8.160308837890625],[5.026553153991699,4.142(...TRUNCATED)
[[[[104017.28125,103888.1328125,103862.4375,103824.609375,103772.953125,103711.7890625,103642.335937(...TRUNCATED)
[[7.572425842285156,4.3621954917907715,13.124588966369629,6.167544364929199],[7.572425842285156,4.36(...TRUNCATED)
[[7.522111415863037,4.261669158935547,12.972363471984863,6.17733907699585],[7.490091323852539,4.4299(...TRUNCATED)
End of preview.