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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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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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