ManiSkill
Collection
5 items • Updated
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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
action: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
frame_index: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
timestamp: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
next.done: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max:
...
string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 5, truncated: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 6, next.reward: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 7, observation.state: 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, observation.image: 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, episode_index: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
splits: struct<train: string>
child 0, train: string
to
{'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'total_videos': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'features': {'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'next.done': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'terminated': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'truncated': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'next.reward': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.image': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}}}
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
action: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
frame_index: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
timestamp: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max: list<item: double>
child 0, item: double
next.done: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
child 0, mean: list<item: double>
child 0, item: double
child 1, std: list<item: double>
child 0, item: double
child 2, min: list<item: double>
child 0, item: double
child 3, max:
...
string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 5, truncated: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 6, next.reward: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
child 7, observation.state: 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, observation.image: 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, episode_index: struct<dtype: string, shape: list<item: null>, names: null>
child 0, dtype: string
child 1, shape: list<item: null>
child 0, item: null
child 2, names: null
splits: struct<train: string>
child 0, train: string
to
{'codebase_version': Value('string'), 'robot_type': Value('string'), 'total_episodes': Value('int64'), 'total_frames': Value('int64'), 'total_tasks': Value('int64'), 'total_videos': Value('int64'), 'fps': Value('int64'), 'splits': {'train': Value('string')}, 'features': {'action': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'frame_index': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'timestamp': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'next.done': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'terminated': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'truncated': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'next.reward': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}, 'observation.state': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'observation.image': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'task_index': {'dtype': Value('string'), 'shape': List(Value('int64')), 'names': Value('null')}, 'episode_index': {'dtype': Value('string'), 'shape': List(Value('null')), 'names': Value('null')}}}
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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