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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
image: struct<band: list<element: string>, flux: list<element: extension<datasets.features.features.Array2D (... 305 chars omitted)
child 0, band: list<element: string>
child 0, element: string
child 1, flux: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 2, ivar: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 3, mask: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 4, psf_fwhm: list<element: float>
child 0, element: float
child 5, scale: list<element: float>
child 0, element: float
a_g: float
a_r: float
a_i: float
a_z: float
a_y: float
g_extendedness_value: float
r_extendedness_value: float
i_extendedness_value: float
z_extendedness_value: float
y_extendedness_value: float
g_cmodel_mag: float
g_cmodel_magerr: float
r_cmodel_mag: float
r_cmodel_magerr: float
i_cmodel_mag: float
i_cmodel_magerr: float
z_cmodel_mag: float
z_cmodel_magerr: float
y_cmodel_mag: float
y_cmodel_magerr: float
g_sdssshape_psf_shape11: float
g_sdssshape_psf_shape22: float
g_sdssshape_psf_shape12: float
r_sdssshape_psf_shape11: float
r_sdssshape_psf_shape22: float
r_sdssshape_psf_shape12: float
i_sdssshape_psf_shape11: float
i_sdssshape_psf_shape22: float
i_sdssshape_psf_shape12: float
z_sdssshape_psf_shape11: float
z_sdssshape_psf_shape22: float
z_sdssshape_psf_shape12: float
y_sdssshape_psf_shape11: float
y_sdssshape_psf_shape22: float
y_sdssshape_psf_shape12: float
g_sdssshape_shape11: float
g_sdssshape_shape22: float
g_sdssshape_shape12: float
r_sdssshape_shape11: float
r_sdssshape_shape22: float
r_sdssshape_shape12: float
i_sdssshape_shape11: float
i_sdssshape_shape22: float
i_sdssshape_shape12: float
z_sdssshape_shape11: float
z_sdssshape_shape22: float
z_sdssshape_shape12: float
y_sdssshape_shape11: float
y_sdssshape_shape22: float
y_sdssshape_shape12: float
object_id: string
healpix: int64
-- schema metadata --
huggingface: '{"info": {"features": {"image": {"feature": {"band": {"dtyp' + 3584
to
{'object_id': Value('int64'), 'ra': Value('float64'), 'dec': Value('float64'), 'healpix': Value('int64')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1404, in compute_config_parquet_and_info_response
fill_builder_info(builder, hf_endpoint=hf_endpoint, hf_token=hf_token, validate=validate)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 596, in fill_builder_info
num_examples_and_sizes: list[tuple[int, int]] = thread_map(
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 69, in thread_map
return _executor_map(ThreadPoolExecutor, fn, *iterables, **tqdm_kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/contrib/concurrent.py", line 51, in _executor_map
return list(tqdm_class(ex.map(fn, *iterables, chunksize=chunksize), **kwargs))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/tqdm/std.py", line 1169, in __iter__
for obj in iterable:
^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 619, in result_iterator
yield _result_or_cancel(fs.pop())
^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 317, in _result_or_cancel
return fut.result(timeout)
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 456, in result
return self.__get_result()
^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/concurrent/futures/_base.py", line 401, in __get_result
raise self._exception
File "/usr/local/lib/python3.12/concurrent/futures/thread.py", line 59, in run
result = self.fn(*self.args, **self.kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 468, in retry_validate_get_num_examples_and_size
validate(pf)
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 534, in validate
raise TooBigRowGroupsError(
worker.job_runners.config.parquet_and_info.TooBigRowGroupsError: Parquet file has too big row groups. First row group has 2694072425 which exceeds the limit of 300000000
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/builder.py", line 1815, in _prepare_split_single
for _, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 691, in wrapped
for item in generator(*args, **kwargs):
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_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
image: struct<band: list<element: string>, flux: list<element: extension<datasets.features.features.Array2D (... 305 chars omitted)
child 0, band: list<element: string>
child 0, element: string
child 1, flux: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 2, ivar: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 3, mask: list<element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>>
child 0, element: extension<datasets.features.features.Array2DExtensionType<Array2DExtensionType>>
child 4, psf_fwhm: list<element: float>
child 0, element: float
child 5, scale: list<element: float>
child 0, element: float
a_g: float
a_r: float
a_i: float
a_z: float
a_y: float
g_extendedness_value: float
r_extendedness_value: float
i_extendedness_value: float
z_extendedness_value: float
y_extendedness_value: float
g_cmodel_mag: float
g_cmodel_magerr: float
r_cmodel_mag: float
r_cmodel_magerr: float
i_cmodel_mag: float
i_cmodel_magerr: float
z_cmodel_mag: float
z_cmodel_magerr: float
y_cmodel_mag: float
y_cmodel_magerr: float
g_sdssshape_psf_shape11: float
g_sdssshape_psf_shape22: float
g_sdssshape_psf_shape12: float
r_sdssshape_psf_shape11: float
r_sdssshape_psf_shape22: float
r_sdssshape_psf_shape12: float
i_sdssshape_psf_shape11: float
i_sdssshape_psf_shape22: float
i_sdssshape_psf_shape12: float
z_sdssshape_psf_shape11: float
z_sdssshape_psf_shape22: float
z_sdssshape_psf_shape12: float
y_sdssshape_psf_shape11: float
y_sdssshape_psf_shape22: float
y_sdssshape_psf_shape12: float
g_sdssshape_shape11: float
g_sdssshape_shape22: float
g_sdssshape_shape12: float
r_sdssshape_shape11: float
r_sdssshape_shape22: float
r_sdssshape_shape12: float
i_sdssshape_shape11: float
i_sdssshape_shape22: float
i_sdssshape_shape12: float
z_sdssshape_shape11: float
z_sdssshape_shape22: float
z_sdssshape_shape12: float
y_sdssshape_shape11: float
y_sdssshape_shape22: float
y_sdssshape_shape12: float
object_id: string
healpix: int64
-- schema metadata --
huggingface: '{"info": {"features": {"image": {"feature": {"band": {"dtyp' + 3584
to
{'object_id': Value('int64'), 'ra': Value('float64'), 'dec': Value('float64'), 'healpix': Value('int64')}
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 1427, 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 993, in stream_convert_to_parquet
builder._prepare_split(
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 1858, 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.
object_id
int64 | ra
float64 | dec
float64 | healpix
int64 |
|---|---|---|---|
40,554,696,116,535,864
| 352.863876
| -1.516926
| 1,172
|
40,554,696,116,546,970
| 352.84375
| -1.539949
| 1,172
|
40,554,696,116,547,160
| 352.87891
| -1.528286
| 1,172
|
40,554,696,116,547,170
| 352.873177
| -1.526996
| 1,172
|
40,554,696,116,547,700
| 352.938661
| -1.494522
| 1,172
|
40,554,696,116,535,790
| 352.873858
| -1.52157
| 1,172
|
40,554,696,116,536,090
| 352.943211
| -1.503655
| 1,172
|
40,554,696,116,536,136
| 352.879474
| -1.500769
| 1,172
|
40,554,696,116,547,144
| 352.869534
| -1.529309
| 1,172
|
40,554,696,116,547,224
| 352.866269
| -1.523642
| 1,172
|
40,554,696,116,547,650
| 352.918136
| -1.494052
| 1,172
|
40,554,696,116,535,730
| 352.858017
| -1.526095
| 1,172
|
40,554,696,116,535,740
| 352.881842
| -1.524667
| 1,172
|
40,554,696,116,536,370
| 352.993882
| -1.490687
| 1,172
|
40,554,696,116,547,384
| 352.868875
| -1.515076
| 1,172
|
40,554,696,116,547,624
| 352.947918
| -1.498687
| 1,172
|
40,554,696,116,547,790
| 352.979634
| -1.491302
| 1,172
|
40,554,696,116,535,770
| 352.862169
| -1.523321
| 1,172
|
40,554,696,116,536,100
| 352.959896
| -1.503539
| 1,172
|
40,554,696,116,536,350
| 352.954761
| -1.491403
| 1,172
|
40,554,696,116,547,160
| 352.875166
| -1.528525
| 1,172
|
40,554,696,116,547,630
| 352.927178
| -1.498468
| 1,172
|
40,554,696,116,547,860
| 352.965905
| -1.488608
| 1,172
|
40,554,696,116,535,680
| 352.86747
| -1.529552
| 1,172
|
40,554,696,116,536,070
| 352.896843
| -1.504712
| 1,172
|
40,554,696,116,536,424
| 352.991736
| -1.487862
| 1,172
|
40,554,696,116,547,500
| 352.883186
| -1.50588
| 1,172
|
40,554,696,116,547,660
| 352.899092
| -1.495785
| 1,172
|
40,554,696,116,547,760
| 352.976266
| -1.491729
| 1,172
|
40,554,696,116,535,860
| 352.885171
| -1.517824
| 1,172
|
40,554,696,116,536,430
| 352.905671
| -1.487923
| 1,172
|
40,554,696,116,547,030
| 352.843241
| -1.538756
| 1,172
|
40,554,696,116,547,144
| 352.882337
| -1.52955
| 1,172
|
40,554,696,116,547,190
| 352.864239
| -1.524503
| 1,172
|
40,554,696,116,547,660
| 352.899896
| -1.496387
| 1,172
|
40,554,696,116,535,890
| 352.880607
| -1.51578
| 1,172
|
40,554,696,116,546,940
| 352.842448
| -1.54982
| 1,172
|
40,554,696,116,547,110
| 352.846961
| -1.530434
| 1,172
|
40,554,696,116,547,390
| 352.875788
| -1.514241
| 1,172
|
40,554,696,116,547,560
| 352.858165
| -1.502382
| 1,172
|
40,554,696,116,547,704
| 352.897964
| -1.494181
| 1,172
|
40,554,696,116,535,670
| 352.851069
| -1.529699
| 1,172
|
40,554,696,116,536,060
| 352.942732
| -1.505126
| 1,172
|
40,554,696,116,547,110
| 352.849211
| -1.530156
| 1,172
|
40,554,696,116,547,530
| 352.85157
| -1.504166
| 1,172
|
40,554,696,116,547,570
| 352.861682
| -1.500819
| 1,172
|
40,554,696,116,547,730
| 352.959723
| -1.492535
| 1,172
|
40,554,696,116,535,470
| 352.844641
| -1.553093
| 1,172
|
40,554,696,116,535,930
| 352.865256
| -1.514249
| 1,172
|
40,554,696,116,546,940
| 352.842474
| -1.549328
| 1,172
|
40,554,696,116,547,350
| 352.861732
| -1.515985
| 1,172
|
40,554,696,116,547,550
| 352.863805
| -1.50301
| 1,172
|
40,554,696,116,547,730
| 352.937915
| -1.492954
| 1,172
|
40,554,696,116,535,790
| 352.879649
| -1.521434
| 1,172
|
40,554,696,116,536,110
| 352.878707
| -1.502204
| 1,172
|
40,554,696,116,547,110
| 352.847213
| -1.530017
| 1,172
|
40,554,696,116,547,224
| 352.866441
| -1.52427
| 1,172
|
40,554,696,116,547,624
| 352.947431
| -1.498746
| 1,172
|
40,554,696,116,547,650
| 352.916812
| -1.494801
| 1,172
|
40,554,829,260,522,160
| 352.759823
| -1.590651
| 1,172
|
40,554,829,260,522,540
| 352.684607
| -1.578264
| 1,172
|
40,554,829,260,526,390
| 352.748628
| -1.590031
| 1,172
|
40,554,829,260,526,400
| 352.731776
| -1.590154
| 1,172
|
40,554,829,260,526,600
| 352.760647
| -1.581392
| 1,172
|
40,554,829,260,522,104
| 352.731727
| -1.593539
| 1,172
|
40,554,829,260,522,260
| 352.767351
| -1.587689
| 1,172
|
40,554,829,260,526,310
| 352.666244
| -1.597593
| 1,172
|
40,554,829,260,526,440
| 352.731972
| -1.588306
| 1,172
|
40,554,829,260,526,720
| 352.755577
| -1.579259
| 1,172
|
40,554,829,260,522,220
| 352.759626
| -1.588505
| 1,172
|
40,554,829,260,526,300
| 352.665715
| -1.597616
| 1,172
|
40,554,829,260,526,340
| 352.702054
| -1.594708
| 1,172
|
40,554,829,260,526,430
| 352.772822
| -1.588586
| 1,172
|
40,554,829,260,526,590
| 352.773268
| -1.581462
| 1,172
|
40,554,829,260,522,050
| 352.678551
| -1.597982
| 1,172
|
40,554,829,260,522,160
| 352.742172
| -1.590562
| 1,172
|
40,554,829,260,522,240
| 352.714349
| -1.588009
| 1,172
|
40,554,829,260,526,440
| 352.723339
| -1.589369
| 1,172
|
40,554,829,260,526,700
| 352.745062
| -1.579734
| 1,172
|
40,554,829,260,522,210
| 352.792098
| -1.588882
| 1,172
|
40,554,829,260,526,230
| 352.68358
| -1.603571
| 1,172
|
40,554,829,260,526,310
| 352.684944
| -1.596857
| 1,172
|
40,554,829,260,526,430
| 352.765068
| -1.588424
| 1,172
|
40,554,829,260,526,590
| 352.737504
| -1.580176
| 1,172
|
40,554,829,260,522,130
| 352.671574
| -1.591944
| 1,172
|
40,554,829,260,522,520
| 352.748994
| -1.578856
| 1,172
|
40,554,829,260,526,500
| 352.745903
| -1.585796
| 1,172
|
40,554,829,260,526,740
| 352.778599
| -1.579393
| 1,172
|
40,554,829,260,522,160
| 352.727988
| -1.590487
| 1,172
|
40,554,829,260,526,216
| 352.671816
| -1.604587
| 1,172
|
40,554,829,260,526,500
| 352.729098
| -1.585886
| 1,172
|
40,554,829,260,526,504
| 352.784206
| -1.585894
| 1,172
|
40,554,829,260,526,504
| 352.783848
| -1.585496
| 1,172
|
40,554,829,260,522,210
| 352.676993
| -1.589252
| 1,172
|
40,554,829,260,526,220
| 352.678863
| -1.605271
| 1,172
|
40,554,829,260,526,424
| 352.776548
| -1.588724
| 1,172
|
40,554,829,260,526,570
| 352.755724
| -1.582729
| 1,172
|
40,554,829,260,526,580
| 352.756867
| -1.5814
| 1,172
|
40,554,829,260,522,180
| 352.774253
| -1.590227
| 1,172
|
40,554,829,260,526,216
| 352.672122
| -1.604506
| 1,172
|
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