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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
intrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
lane_lines: list<item: struct<xyz: list<item: list<item: double>>, visibility: list<item: int64>, category: int6 (... 35 chars omitted)
child 0, item: struct<xyz: list<item: list<item: double>>, visibility: list<item: int64>, category: int64, carla_la (... 23 chars omitted)
child 0, xyz: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, visibility: list<item: int64>
child 0, item: int64
child 2, category: int64
child 3, carla_lane_marking_type: int64
image_size: list<item: int64>
child 0, item: int64
coordinate_system: string
vehicle_to_world_carla: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
camera_to_world_carla: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
raw_index: int64
raw_image: string
town: string
image_shape: list<item: int64>
child 0, item: int64
format: string
surrounding_vehicles: int64
collection_date: timestamp[s]
junctions_excluded: bool
weather_stats: struct<clear_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>, cloudy_no (... 157 chars omitted)
child 0, clear_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
child 1, cloudy_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
child 2, wet_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
total_frames: int64
label_file: string
images_per_npy: int64
to
{'format': Value('string'), 'town': Value('string'), 'weather_stats': {'clear_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}, 'cloudy_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}, 'wet_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}}, 'total_frames': Value('int64'), 'image_shape': List(Value('int64')), 'images_per_npy': Value('int64'), 'surrounding_vehicles': Value('int64'), 'junctions_excluded': Value('bool'), 'label_file': Value('string'), 'coordinate_system': Value('string'), 'collection_date': Value('timestamp[s]')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
intrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
extrinsic: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
lane_lines: list<item: struct<xyz: list<item: list<item: double>>, visibility: list<item: int64>, category: int6 (... 35 chars omitted)
child 0, item: struct<xyz: list<item: list<item: double>>, visibility: list<item: int64>, category: int64, carla_la (... 23 chars omitted)
child 0, xyz: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, visibility: list<item: int64>
child 0, item: int64
child 2, category: int64
child 3, carla_lane_marking_type: int64
image_size: list<item: int64>
child 0, item: int64
coordinate_system: string
vehicle_to_world_carla: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
camera_to_world_carla: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
raw_index: int64
raw_image: string
town: string
image_shape: list<item: int64>
child 0, item: int64
format: string
surrounding_vehicles: int64
collection_date: timestamp[s]
junctions_excluded: bool
weather_stats: struct<clear_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>, cloudy_no (... 157 chars omitted)
child 0, clear_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
child 1, cloudy_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
child 2, wet_noon: struct<frames: int64, zero_lane_frames: int64, junction_frames: int64>
child 0, frames: int64
child 1, zero_lane_frames: int64
child 2, junction_frames: int64
total_frames: int64
label_file: string
images_per_npy: int64
to
{'format': Value('string'), 'town': Value('string'), 'weather_stats': {'clear_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}, 'cloudy_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}, 'wet_noon': {'frames': Value('int64'), 'zero_lane_frames': Value('int64'), 'junction_frames': Value('int64')}}, 'total_frames': Value('int64'), 'image_shape': List(Value('int64')), 'images_per_npy': Value('int64'), 'surrounding_vehicles': Value('int64'), 'junctions_excluded': Value('bool'), 'label_file': Value('string'), 'coordinate_system': Value('string'), 'collection_date': Value('timestamp[s]')}
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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