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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
lens: string
resolution_label: string
aspect_ratio: string
width: int64
height: int64
model: string
K: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
fx: double
fy: double
cx: double
cy: double
distortion_model: string
distortion: struct<k1: double, k2: double, p1: double, p2: double, k3: double>
child 0, k1: double
child 1, k2: double
child 2, p1: double
child 3, p2: double
child 4, k3: double
distortion_coeffs: list<item: double>
child 0, item: double
reprojection_error_px: double
source: string
resolved_by: struct<lens: string, width: int64, height: int64>
child 0, lens: string
child 1, width: int64
child 2, height: int64
image_rotation: string
rotated_width: int64
rotated_height: int64
pixel_transform_2x3: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
how_to_project: string
plan: string
count: int64
by_source: struct<hot3d: int64, show3d: int64, abaka: int64>
child 0, hot3d: int64
child 1, show3d: int64
child 2, abaka: int64
sequences: list<item: struct<seq_id: string, source: string, frames: int64, imagery: string, rotation: string, (... 20 chars omitted)
child 0, item: struct<seq_id: string, source: string, frames: int64, imagery: string, rotation: string, hands_drawn (... 8 chars omitted)
child 0, seq_id: string
child 1, source: string
child 2, frames: int64
child 3, imagery: string
child 4, rotation: string
child 5, hands_drawn: int64
to
{'count': Value('int64'), 'by_source': {'hot3d': Value('int64'), 'show3d': Value('int64'), 'abaka': Value('int64')}, 'plan': Value('string'), 'sequences': List({'seq_id': Value('string'), 'source': Value('string'), 'frames': Value('int64'), 'imagery': Value('string'), 'rotation': Value('string'), 'hands_drawn': Value('int64')})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, in get_rows_or_raise
return get_rows(
dataset=dataset,
...<4 lines>...
column_names=column_names,
)
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
File "/src/services/worker/src/worker/utils.py", line 129, in get_rows
rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
File "/src/services/worker/src/worker/utils.py", line 489, in safe_iter
yield from ds.decode(False) if ds.features else ds
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
lens: string
resolution_label: string
aspect_ratio: string
width: int64
height: int64
model: string
K: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
fx: double
fy: double
cx: double
cy: double
distortion_model: string
distortion: struct<k1: double, k2: double, p1: double, p2: double, k3: double>
child 0, k1: double
child 1, k2: double
child 2, p1: double
child 3, p2: double
child 4, k3: double
distortion_coeffs: list<item: double>
child 0, item: double
reprojection_error_px: double
source: string
resolved_by: struct<lens: string, width: int64, height: int64>
child 0, lens: string
child 1, width: int64
child 2, height: int64
image_rotation: string
rotated_width: int64
rotated_height: int64
pixel_transform_2x3: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
how_to_project: string
plan: string
count: int64
by_source: struct<hot3d: int64, show3d: int64, abaka: int64>
child 0, hot3d: int64
child 1, show3d: int64
child 2, abaka: int64
sequences: list<item: struct<seq_id: string, source: string, frames: int64, imagery: string, rotation: string, (... 20 chars omitted)
child 0, item: struct<seq_id: string, source: string, frames: int64, imagery: string, rotation: string, hands_drawn (... 8 chars omitted)
child 0, seq_id: string
child 1, source: string
child 2, frames: int64
child 3, imagery: string
child 4, rotation: string
child 5, hands_drawn: int64
to
{'count': Value('int64'), 'by_source': {'hot3d': Value('int64'), 'show3d': Value('int64'), 'abaka': Value('int64')}, 'plan': Value('string'), 'sequences': List({'seq_id': Value('string'), 'source': Value('string'), 'frames': Value('int64'), 'imagery': Value('string'), 'rotation': Value('string'), 'hands_drawn': Value('int64')})}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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