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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
version: int64
episodes: struct<0: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_level (... 3376 chars omitted)
child 0, 0: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
child 2, label: string
child 1, high_levels: list<item: null>
child 0, item: null
child 1, 1: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
child 2, label: string
child 1, high_levels: list<item: null>
child 0, item: null
child 2, 2: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
...
, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 6, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 7, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 8, index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 10, subtask_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 11, task_index_high_level: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
video_path: string
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'action': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.images.right': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'observation.images.left': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'observation.images.top': {'dtype': Value('s
...
'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index_high_level': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('string'), 'splits': {'train': 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 2815, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, 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 536, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, 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 130, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
version: int64
episodes: struct<0: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_level (... 3376 chars omitted)
child 0, 0: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
child 2, label: string
child 1, high_levels: list<item: null>
child 0, item: null
child 1, 1: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
child 2, label: string
child 1, high_levels: list<item: null>
child 0, item: null
child 2, 2: struct<subtasks: list<item: struct<start: double, end: double, label: string>>, high_levels: list<it (... 10 chars omitted)
child 0, subtasks: list<item: struct<start: double, end: double, label: string>>
child 0, item: struct<start: double, end: double, label: string>
child 0, start: double
child 1, end: double
...
, timestamp: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 6, frame_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 7, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 8, index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 9, task_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 10, subtask_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
child 11, task_index_high_level: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: null
video_path: string
to
{'codebase_version': Value('string'), 'fps': Value('int64'), 'features': {'action': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.state': {'dtype': Value('string'), 'names': List(Value('string')), 'shape': List(Value('int64'))}, 'observation.images.right': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'observation.images.left': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': List(Value('string')), 'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'observation.images.top': {'dtype': Value('s
...
'info': {'video.height': Value('int64'), 'video.width': Value('int64'), 'video.codec': Value('string'), 'video.pix_fmt': Value('string'), 'video.is_depth_map': Value('bool'), 'video.fps': Value('int64'), 'video.channels': Value('int64'), 'has_audio': Value('bool'), 'video.fast_decode': Value('null'), 'video.extra_options': Value('null'), 'video.video_backend': Value('string'), 'video.preset': Value('null'), 'video.crf': Value('null'), 'video.g': Value('null')}}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'subtask_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index_high_level': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}}, 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'chunks_size': Value('int64'), 'data_files_size_in_mb': Value('int64'), 'video_files_size_in_mb': Value('int64'), 'data_path': Value('string'), 'video_path': Value('string'), 'robot_type': Value('string'), 'splits': {'train': Value('string')}}
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