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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
task: string
task_index: int64
data_files_size_in_mb: int64
fps: int64
video_files_size_in_mb: int64
data_path: string
codebase_version: string
total_episodes: int64
features: struct<action: struct<dtype: string, names: null, shape: list<item: int64>>, episode_index: struct<d (... 944 chars omitted)
child 0, action: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 2, frame_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 3, index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 4, length: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 5, next.done: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2,
...
1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 7, observation.images.cam_left_wrist: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 8, observation.images.cam_low: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 9, observation.images.cam_right_wrist: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 10, observation.state: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 11, task_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 12, timestamp: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
chunks_size: int64
video_path: string
total_frames: int64
robot_type: string
to
{'chunks_size': Value('int64'), 'codebase_version': Value('string'), 'data_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'features': {'action': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'episode_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'frame_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'length': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'next.done': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_high': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_left_wrist': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_low': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_right_wrist': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'task_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'timestamp': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}}, 'fps': Value('int64'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'video_path': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2567, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2102, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2125, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 479, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 380, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, 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
task: string
task_index: int64
data_files_size_in_mb: int64
fps: int64
video_files_size_in_mb: int64
data_path: string
codebase_version: string
total_episodes: int64
features: struct<action: struct<dtype: string, names: null, shape: list<item: int64>>, episode_index: struct<d (... 944 chars omitted)
child 0, action: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 1, episode_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 2, frame_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 3, index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 4, length: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 5, next.done: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2,
...
1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 7, observation.images.cam_left_wrist: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 8, observation.images.cam_low: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 9, observation.images.cam_right_wrist: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 10, observation.state: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 11, task_index: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
child 12, timestamp: struct<dtype: string, names: null, shape: list<item: int64>>
child 0, dtype: string
child 1, names: null
child 2, shape: list<item: int64>
child 0, item: int64
chunks_size: int64
video_path: string
total_frames: int64
robot_type: string
to
{'chunks_size': Value('int64'), 'codebase_version': Value('string'), 'data_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'features': {'action': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'episode_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'frame_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'length': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'next.done': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_high': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_left_wrist': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_low': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.images.cam_right_wrist': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'task_index': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}, 'timestamp': {'dtype': Value('string'), 'names': Value('null'), 'shape': List(Value('int64'))}}, 'fps': Value('int64'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'video_path': Value('string')}
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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