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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
images: list<item: list<item: list<item: uint16>>>
  child 0, item: list<item: list<item: uint16>>
      child 0, item: list<item: uint16>
          child 0, item: uint16
labels: int64
train: bool
to
{'images': Array3D(shape=(4, 16, 16), dtype='float32'), 'labels': Value('uint8'), 'train': Value('bool'), 'write_progress': Value('bool')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                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
              images: list<item: list<item: list<item: uint16>>>
                child 0, item: list<item: list<item: uint16>>
                    child 0, item: list<item: uint16>
                        child 0, item: uint16
              labels: int64
              train: bool
              to
              {'images': Array3D(shape=(4, 16, 16), dtype='float32'), 'labels': Value('uint8'), 'train': Value('bool'), 'write_progress': Value('bool')}
              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 1347, 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 980, in convert_to_parquet
                  builder.download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 884, in download_and_prepare
                  self._download_and_prepare(
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 947, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1739, 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 1922, 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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images
array 3D
labels
uint8
train
bool
write_progress
bool
[ [ [ 0.6540168523788452, 0.6420176029205322, 0.6420385837554932, 0.6420435905456543, 0.6418840885162354, 0.6417174935340881, 0.6420480012893677, 0.6418682932853699, 0.6444585919380188, 0.4469456672668457, 0.3503238558769226, 0.64194166660308...
19
true
true
[ [ [ 0.7847117185592651, 0.7741736173629761, 0.7741628289222717, 0.774163007736206, 0.774156391620636, 0.7746158242225647, 0.771728515625, 0.7731208205223083, 0.7825496196746826, 0.7738239765167236, 0.7742041349411011, 0.7741628885269165, ...
29
true
true
[ [ [ 0.6256453990936279, 0.6062996983528137, 0.6062827110290527, 0.6032681465148926, 0.5873093605041504, 0.5811309814453125, 0.5526278614997864, 0.5593116879463196, 0.5786880850791931, 0.5456807613372803, 0.5835056900978088, 0.58491879701614...
0
true
true
[ [ [ 0.2470664083957672, 0.28123462200164795, 0.29962271451950073, 0.3213607668876648, 0.3398560881614685, 0.3478831946849823, 0.3721591830253601, 0.35532814264297485, 0.35806405544281006, 0.4117581844329834, 0.4369370937347412, 0.4121403098...
11
true
true
[ [ [ 0.022357992827892303, 0.09126235544681549, 0.03335949033498764, 0.03210461512207985, 0.12421223521232605, 0.18014679849147797, 0.13145384192466736, 0.2059759497642517, 0.20662537217140198, 0.35582464933395386, 0.18839935958385468, 0.194...
1
true
true
[ [ [ 0.28354179859161377, 0.3000074326992035, 0.29446008801460266, 0.3026152551174164, 0.278018593788147, 0.26874619722366333, 0.2879035770893097, 0.25870248675346375, 0.23929870128631592, 0.2171631157398224, 0.1956055760383606, 0.1648115813...
86
true
true
[ [ [ 0.0342230349779129, 0.030093226581811905, 0.035895995795726776, 0.05627065896987915, 0.039672523736953735, 0.03030930459499359, 0.032064832746982574, 0.042847782373428345, 0.030454054474830627, 0.03293208032846451, 0.035359594970941544, ...
90
true
true
[ [ [ 0.2796129882335663, 0.27881819009780884, 0.28323668241500854, 0.28302034735679626, 0.2830204963684082, 0.2830204963684082, 0.2830204367637634, 0.28302809596061707, 0.283131867647171, 0.27998802065849304, 0.2795139253139496, 0.2768186628...
28
true
true
[ [ [ 0.1773976981639862, 0.21278321743011475, 0.2461727410554886, 0.28345680236816406, 0.32702726125717163, 0.39146924018859863, 0.484586626291275, 0.49024835228919983, 0.4321845769882202, 0.3659489154815674, 0.3189738988876343, 0.2833552062...
23
true
true
[[[0.7477117776870728,0.7471602559089661,0.7470299005508423,0.7470303773880005,0.747029185295105,0.7(...TRUNCATED)
31
true
true
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