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The dataset viewer is not available for this split.
Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
video_id: string
segments: struct<segment_1: struct<start_time: double, end_time: double, text: string>, segment_2: struct<star (... 19435 chars omitted)
child 0, segment_1: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 1, segment_2: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 2, segment_3: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 3, segment_4: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 4, segment_5: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 5, segment_6: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 6, segment_7: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 7, segment_8: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
...
.. 14 chars omitted)
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
child 4, k1: double
child 5, k2: double
child 6, p1: double
child 7, p2: double
child 8, k3: double
child 4, image_size: list<item: int64>
child 0, item: int64
child 5, calibration_error: double
image_size: list<item: int64>
child 0, item: int64
right: struct<camera_matrix: list<item: list<item: double>>, distortion_model: string, distortion_coefficie (... 210 chars omitted)
child 0, camera_matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, distortion_model: string
child 2, distortion_coefficients: list<item: double>
child 0, item: double
child 3, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double, p1: double, p2: doubl (... 14 chars omitted)
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
child 4, k1: double
child 5, k2: double
child 6, p1: double
child 7, p2: double
child 8, k3: double
child 4, image_size: list<item: int64>
child 0, item: int64
child 5, calibration_error: double
chessboard: struct<pattern_size: list<item: int64>, square_size_mm: double>
child 0, pattern_size: list<item: int64>
child 0, item: int64
child 1, square_size_mm: double
calibration_source: string
device: string
to
{'device': Value('string'), 'calibration_source': Value('string'), 'image_size': List(Value('int64')), 'chessboard': {'pattern_size': List(Value('int64')), 'square_size_mm': Value('float64')}, 'left': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'right': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'stereo': {'rotation': List(List(Value('float64'))), 'translation': List(Value('float64')), 'baseline_mm': Value('float64'), 'rms_error': Value('float64'), 'rectification': {'left_rectification': List(List(Value('float64'))), 'right_rectification': List(List(Value('float64'))), 'left_projection': List(List(Value('float64'))), 'right_projection': List(List(Value('float64'))), 'disparity_to_depth': List(List(Value('float64')))}}}
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
video_id: string
segments: struct<segment_1: struct<start_time: double, end_time: double, text: string>, segment_2: struct<star (... 19435 chars omitted)
child 0, segment_1: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 1, segment_2: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 2, segment_3: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 3, segment_4: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 4, segment_5: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 5, segment_6: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 6, segment_7: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
child 1, end_time: double
child 2, text: string
child 7, segment_8: struct<start_time: double, end_time: double, text: string>
child 0, start_time: double
...
.. 14 chars omitted)
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
child 4, k1: double
child 5, k2: double
child 6, p1: double
child 7, p2: double
child 8, k3: double
child 4, image_size: list<item: int64>
child 0, item: int64
child 5, calibration_error: double
image_size: list<item: int64>
child 0, item: int64
right: struct<camera_matrix: list<item: list<item: double>>, distortion_model: string, distortion_coefficie (... 210 chars omitted)
child 0, camera_matrix: list<item: list<item: double>>
child 0, item: list<item: double>
child 0, item: double
child 1, distortion_model: string
child 2, distortion_coefficients: list<item: double>
child 0, item: double
child 3, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double, p1: double, p2: doubl (... 14 chars omitted)
child 0, fx: double
child 1, fy: double
child 2, cx: double
child 3, cy: double
child 4, k1: double
child 5, k2: double
child 6, p1: double
child 7, p2: double
child 8, k3: double
child 4, image_size: list<item: int64>
child 0, item: int64
child 5, calibration_error: double
chessboard: struct<pattern_size: list<item: int64>, square_size_mm: double>
child 0, pattern_size: list<item: int64>
child 0, item: int64
child 1, square_size_mm: double
calibration_source: string
device: string
to
{'device': Value('string'), 'calibration_source': Value('string'), 'image_size': List(Value('int64')), 'chessboard': {'pattern_size': List(Value('int64')), 'square_size_mm': Value('float64')}, 'left': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'right': {'camera_matrix': List(List(Value('float64'))), 'distortion_model': Value('string'), 'distortion_coefficients': List(Value('float64')), 'intrinsics': {'fx': Value('float64'), 'fy': Value('float64'), 'cx': Value('float64'), 'cy': Value('float64'), 'k1': Value('float64'), 'k2': Value('float64'), 'p1': Value('float64'), 'p2': Value('float64'), 'k3': Value('float64')}, 'image_size': List(Value('int64')), 'calibration_error': Value('float64')}, 'stereo': {'rotation': List(List(Value('float64'))), 'translation': List(Value('float64')), 'baseline_mm': Value('float64'), 'rms_error': Value('float64'), 'rectification': {'left_rectification': List(List(Value('float64'))), 'right_rectification': List(List(Value('float64'))), 'left_projection': List(List(Value('float64'))), 'right_projection': List(List(Value('float64'))), 'disparity_to_depth': List(List(Value('float64')))}}}
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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