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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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