Dataset Viewer
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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1419 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, 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 3, 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 4, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: st
...
omitted)
child 0, frame_count: int64
child 1, cycle_count: int64
child 2, ignored_arm_frames: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 3, ignored_action_scalars: int64
child 4, valid_action_scalars: int64
child 5, total_action_scalars: int64
child 6, cycle_arms: list<item: struct<cycle: int64, arm: string, candidate_start_source_frame: int64, pick_start_source_ (... 119 chars omitted)
child 0, item: struct<cycle: int64, arm: string, candidate_start_source_frame: int64, pick_start_source_frame: int6 (... 107 chars omitted)
child 0, cycle: int64
child 1, arm: string
child 2, candidate_start_source_frame: int64
child 3, pick_start_source_frame: int64
child 4, masked_output_ranges: list<item: struct<start: int64, end: int64, length: int64>>
child 0, item: struct<start: int64, end: int64, length: int64>
child 0, start: int64
child 1, end: int64
child 2, length: int64
child 5, masked_frames: int64
child 7, episode_index: int64
ignored_action_scalar_fraction: double
mask_semantics: string
repo_id: string
maximum_joint_step: double
source_dataset: string
ignored_arm_frames: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
episode_count: int64
minimum_idle_frames: int64
to
{'repo_id': Value('string'), 'source_dataset': Value('string'), 'feature': Value('string'), 'mask_semantics': Value('string'), 'maximum_joint_step': Value('float64'), 'maximum_gripper_step': Value('float64'), 'minimum_idle_frames': Value('int64'), 'episode_count': Value('int64'), 'frame_count': Value('int64'), 'ignored_arm_frames': {'left': Value('int64'), 'right': Value('int64')}, 'ignored_action_scalars': Value('int64'), 'ignored_action_scalar_fraction': Value('float64'), 'episodes': List({'frame_count': Value('int64'), 'cycle_count': Value('int64'), 'ignored_arm_frames': {'left': Value('int64'), 'right': Value('int64')}, 'ignored_action_scalars': Value('int64'), 'valid_action_scalars': Value('int64'), 'total_action_scalars': Value('int64'), 'cycle_arms': List({'cycle': Value('int64'), 'arm': Value('string'), 'candidate_start_source_frame': Value('int64'), 'pick_start_source_frame': Value('int64'), 'masked_output_ranges': List({'start': Value('int64'), 'end': Value('int64'), 'length': Value('int64')}), 'masked_frames': Value('int64')}), 'episode_index': Value('int64')})}
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 478, 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
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
data_files_size_in_mb: int64
video_files_size_in_mb: int64
fps: int64
splits: struct<train: string>
child 0, train: string
data_path: string
video_path: string
features: struct<action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>, observati (... 1419 chars omitted)
child 0, action: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 1, observation.state: struct<dtype: string, names: list<item: string>, shape: list<item: int64>>
child 0, dtype: string
child 1, names: list<item: string>
child 0, item: string
child 2, shape: list<item: int64>
child 0, item: int64
child 2, 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 3, 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 4, episode_index: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: st
...
omitted)
child 0, frame_count: int64
child 1, cycle_count: int64
child 2, ignored_arm_frames: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 3, ignored_action_scalars: int64
child 4, valid_action_scalars: int64
child 5, total_action_scalars: int64
child 6, cycle_arms: list<item: struct<cycle: int64, arm: string, candidate_start_source_frame: int64, pick_start_source_ (... 119 chars omitted)
child 0, item: struct<cycle: int64, arm: string, candidate_start_source_frame: int64, pick_start_source_frame: int6 (... 107 chars omitted)
child 0, cycle: int64
child 1, arm: string
child 2, candidate_start_source_frame: int64
child 3, pick_start_source_frame: int64
child 4, masked_output_ranges: list<item: struct<start: int64, end: int64, length: int64>>
child 0, item: struct<start: int64, end: int64, length: int64>
child 0, start: int64
child 1, end: int64
child 2, length: int64
child 5, masked_frames: int64
child 7, episode_index: int64
ignored_action_scalar_fraction: double
mask_semantics: string
repo_id: string
maximum_joint_step: double
source_dataset: string
ignored_arm_frames: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
episode_count: int64
minimum_idle_frames: int64
to
{'repo_id': Value('string'), 'source_dataset': Value('string'), 'feature': Value('string'), 'mask_semantics': Value('string'), 'maximum_joint_step': Value('float64'), 'maximum_gripper_step': Value('float64'), 'minimum_idle_frames': Value('int64'), 'episode_count': Value('int64'), 'frame_count': Value('int64'), 'ignored_arm_frames': {'left': Value('int64'), 'right': Value('int64')}, 'ignored_action_scalars': Value('int64'), 'ignored_action_scalar_fraction': Value('float64'), 'episodes': List({'frame_count': Value('int64'), 'cycle_count': Value('int64'), 'ignored_arm_frames': {'left': Value('int64'), 'right': Value('int64')}, 'ignored_action_scalars': Value('int64'), 'valid_action_scalars': Value('int64'), 'total_action_scalars': Value('int64'), 'cycle_arms': List({'cycle': Value('int64'), 'arm': Value('string'), 'candidate_start_source_frame': Value('int64'), 'pick_start_source_frame': Value('int64'), 'masked_output_ranges': List({'start': Value('int64'), 'end': Value('int64'), 'length': Value('int64')}), 'masked_frames': Value('int64')}), 'episode_index': 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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