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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
observation.image.cam0: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
observation.image.cam1: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
observation.state: fixed_size_list<item: float>[3]
child 0, item: float
action: fixed_size_list<item: float>[9]
child 0, item: float
timestamp: float
frame_index: int64
episode_index: int64
index: int64
task_index: int64
-- schema metadata --
huggingface: '{"info": {"features": {"observation.image.cam0": {"_type": ' + 514
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'data/chunk_index': Value('int64'), 'data/file_index': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'stats/observation.image.cam0/min': List(List(List(Value('float64')))), 'stats/observation.image.cam0/max': List(List(List(Value('float64')))), 'stats/observation.image.cam0/mean': List(List(List(Value('float64')))), 'stats/observation.image.cam0/std': List(List(List(Value('float64')))), 'stats/observation.image.cam0/count': List(Value('int64')), 'stats/observation.image.cam0/q01': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q10': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q50': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q90': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q99': List(List(List(Value('float64')))), 'stats/observation.image.cam1/min': List(List(List(Value('float64')))), 'stats/observation.image.cam1/max': List(List(List(Value('float64')))), 'stats/observation.image.cam1/mean': List(List(List(Value('float64')))), 'stats/observation.image.cam1/std': List(List(List(Value('float64')))), 'stats/observation.image.cam1/count': List(Value('int64')), 'stats/observation.image.cam1/q01': List(List(List(Value('float64')))), 'stats/observation.image.cam1/q10': List(List(List(Value('float64')))), 'stats/observation.image.cam1/q50': List(List(List(Value('flo
...
'stats/episode_index/min': List(Value('int64')), 'stats/episode_index/max': List(Value('int64')), 'stats/episode_index/mean': List(Value('float64')), 'stats/episode_index/std': List(Value('float64')), 'stats/episode_index/count': List(Value('int64')), 'stats/episode_index/q01': List(Value('float64')), 'stats/episode_index/q10': List(Value('float64')), 'stats/episode_index/q50': List(Value('float64')), 'stats/episode_index/q90': List(Value('float64')), 'stats/episode_index/q99': List(Value('float64')), 'stats/index/min': List(Value('int64')), 'stats/index/max': List(Value('int64')), 'stats/index/mean': List(Value('float64')), 'stats/index/std': List(Value('float64')), 'stats/index/count': List(Value('int64')), 'stats/index/q01': List(Value('float64')), 'stats/index/q10': List(Value('float64')), 'stats/index/q50': List(Value('float64')), 'stats/index/q90': List(Value('float64')), 'stats/index/q99': List(Value('float64')), 'stats/task_index/min': List(Value('int64')), 'stats/task_index/max': List(Value('int64')), 'stats/task_index/mean': List(Value('float64')), 'stats/task_index/std': List(Value('float64')), 'stats/task_index/count': List(Value('int64')), 'stats/task_index/q01': List(Value('float64')), 'stats/task_index/q10': List(Value('float64')), 'stats/task_index/q50': List(Value('float64')), 'stats/task_index/q90': List(Value('float64')), 'stats/task_index/q99': List(Value('float64')), 'meta/episodes/chunk_index': Value('int64'), 'meta/episodes/file_index': Value('int64')}
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 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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/arrow/arrow.py", line 74, in _generate_tables
yield Key(file_idx, batch_idx), self._cast_table(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/arrow/arrow.py", line 54, 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 2321, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
observation.image.cam0: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
observation.image.cam1: struct<bytes: binary, path: string>
child 0, bytes: binary
child 1, path: string
observation.state: fixed_size_list<item: float>[3]
child 0, item: float
action: fixed_size_list<item: float>[9]
child 0, item: float
timestamp: float
frame_index: int64
episode_index: int64
index: int64
task_index: int64
-- schema metadata --
huggingface: '{"info": {"features": {"observation.image.cam0": {"_type": ' + 514
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64'), 'data/chunk_index': Value('int64'), 'data/file_index': Value('int64'), 'dataset_from_index': Value('int64'), 'dataset_to_index': Value('int64'), 'stats/observation.image.cam0/min': List(List(List(Value('float64')))), 'stats/observation.image.cam0/max': List(List(List(Value('float64')))), 'stats/observation.image.cam0/mean': List(List(List(Value('float64')))), 'stats/observation.image.cam0/std': List(List(List(Value('float64')))), 'stats/observation.image.cam0/count': List(Value('int64')), 'stats/observation.image.cam0/q01': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q10': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q50': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q90': List(List(List(Value('float64')))), 'stats/observation.image.cam0/q99': List(List(List(Value('float64')))), 'stats/observation.image.cam1/min': List(List(List(Value('float64')))), 'stats/observation.image.cam1/max': List(List(List(Value('float64')))), 'stats/observation.image.cam1/mean': List(List(List(Value('float64')))), 'stats/observation.image.cam1/std': List(List(List(Value('float64')))), 'stats/observation.image.cam1/count': List(Value('int64')), 'stats/observation.image.cam1/q01': List(List(List(Value('float64')))), 'stats/observation.image.cam1/q10': List(List(List(Value('float64')))), 'stats/observation.image.cam1/q50': List(List(List(Value('flo
...
'stats/episode_index/min': List(Value('int64')), 'stats/episode_index/max': List(Value('int64')), 'stats/episode_index/mean': List(Value('float64')), 'stats/episode_index/std': List(Value('float64')), 'stats/episode_index/count': List(Value('int64')), 'stats/episode_index/q01': List(Value('float64')), 'stats/episode_index/q10': List(Value('float64')), 'stats/episode_index/q50': List(Value('float64')), 'stats/episode_index/q90': List(Value('float64')), 'stats/episode_index/q99': List(Value('float64')), 'stats/index/min': List(Value('int64')), 'stats/index/max': List(Value('int64')), 'stats/index/mean': List(Value('float64')), 'stats/index/std': List(Value('float64')), 'stats/index/count': List(Value('int64')), 'stats/index/q01': List(Value('float64')), 'stats/index/q10': List(Value('float64')), 'stats/index/q50': List(Value('float64')), 'stats/index/q90': List(Value('float64')), 'stats/index/q99': List(Value('float64')), 'stats/task_index/min': List(Value('int64')), 'stats/task_index/max': List(Value('int64')), 'stats/task_index/mean': List(Value('float64')), 'stats/task_index/std': List(Value('float64')), 'stats/task_index/count': List(Value('int64')), 'stats/task_index/q01': List(Value('float64')), 'stats/task_index/q10': List(Value('float64')), 'stats/task_index/q50': List(Value('float64')), 'stats/task_index/q90': List(Value('float64')), 'stats/task_index/q99': List(Value('float64')), 'meta/episodes/chunk_index': Value('int64'), 'meta/episodes/file_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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