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
schema_version: string
task: string
visibility: string
created_date: timestamp[s]
producer_commits: struct<parallelvla: string, robotwin_native: string, lerobot_converter: string>
child 0, parallelvla: string
child 1, robotwin_native: string
child 2, lerobot_converter: string
train: struct<episodes: int64, lerobot_frames: int64, native_supervision_frames: int64, dataset_revision: s (... 128 chars omitted)
child 0, episodes: int64
child 1, lerobot_frames: int64
child 2, native_supervision_frames: int64
child 3, dataset_revision: string
child 4, annotation_revision: string
child 5, source_annotation_revision: string
child 6, composition: string
child 7, random_delay_router_target: string
validation: struct<episodes: int64, seeds: list<item: int64>, object_arm_counts: struct<left: int64, right: int6 (... 246 chars omitted)
child 0, episodes: int64
child 1, seeds: list<item: int64>
child 0, item: int64
child 2, object_arm_counts: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 3, lerobot_frames: int64
child 4, native_supervision_frames: int64
child 5, episode_lerobot_lengths: list<item: int64>
child 0, item: int64
child 6, dataset_revision: string
child 7, annotation_revision: string
child 8, source_annotation_revision: string
child 9, random_delay_router_target: string
child 10, split: string
normalizer: struct<source: string, sha256: string, dataset_revision: string, action_ho
...
2, dataset_revision: string
child 3, action_horizon: int64
child 4, robot_action_dim: int64
child 5, model_action_dim: int64
child 6, valid_action_vectors: int64
child 7, excluded_padding_vectors: int64
router: struct<stage_keys: list<item: string>, text_format: string, action_prompt_format: string, router_sup (... 216 chars omitted)
child 0, stage_keys: list<item: string>
child 0, item: string
child 1, text_format: string
child 2, action_prompt_format: string
child 3, router_supervises_hold_frames: bool
child 4, action_loss_stages: list<item: string>
child 0, item: string
child 5, hold_wait_arm_action_dimensions_masked: bool
child 6, robot_action_basis: struct<left: list<item: int64>, right: list<item: int64>>
child 0, left: list<item: int64>
child 0, item: int64
child 1, right: list<item: int64>
child 0, item: int64
child 7, model_action_dim: int64
alignment: struct<lerobot_row: string, per_episode_lerobot_length: string, action_horizon: int64, no_cross_stag (... 20 chars omitted)
child 0, lerobot_row: string
child 1, per_episode_lerobot_length: string
child 2, action_horizon: int64
child 3, no_cross_stage_action_loss: bool
inventory: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
inventory_sha256: string
files: int64
bytes: int64
to
{'schema_version': Value('string'), 'files': Value('int64'), 'bytes': Value('int64'), 'inventory': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'inventory_sha256': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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
schema_version: string
task: string
visibility: string
created_date: timestamp[s]
producer_commits: struct<parallelvla: string, robotwin_native: string, lerobot_converter: string>
child 0, parallelvla: string
child 1, robotwin_native: string
child 2, lerobot_converter: string
train: struct<episodes: int64, lerobot_frames: int64, native_supervision_frames: int64, dataset_revision: s (... 128 chars omitted)
child 0, episodes: int64
child 1, lerobot_frames: int64
child 2, native_supervision_frames: int64
child 3, dataset_revision: string
child 4, annotation_revision: string
child 5, source_annotation_revision: string
child 6, composition: string
child 7, random_delay_router_target: string
validation: struct<episodes: int64, seeds: list<item: int64>, object_arm_counts: struct<left: int64, right: int6 (... 246 chars omitted)
child 0, episodes: int64
child 1, seeds: list<item: int64>
child 0, item: int64
child 2, object_arm_counts: struct<left: int64, right: int64>
child 0, left: int64
child 1, right: int64
child 3, lerobot_frames: int64
child 4, native_supervision_frames: int64
child 5, episode_lerobot_lengths: list<item: int64>
child 0, item: int64
child 6, dataset_revision: string
child 7, annotation_revision: string
child 8, source_annotation_revision: string
child 9, random_delay_router_target: string
child 10, split: string
normalizer: struct<source: string, sha256: string, dataset_revision: string, action_ho
...
2, dataset_revision: string
child 3, action_horizon: int64
child 4, robot_action_dim: int64
child 5, model_action_dim: int64
child 6, valid_action_vectors: int64
child 7, excluded_padding_vectors: int64
router: struct<stage_keys: list<item: string>, text_format: string, action_prompt_format: string, router_sup (... 216 chars omitted)
child 0, stage_keys: list<item: string>
child 0, item: string
child 1, text_format: string
child 2, action_prompt_format: string
child 3, router_supervises_hold_frames: bool
child 4, action_loss_stages: list<item: string>
child 0, item: string
child 5, hold_wait_arm_action_dimensions_masked: bool
child 6, robot_action_basis: struct<left: list<item: int64>, right: list<item: int64>>
child 0, left: list<item: int64>
child 0, item: int64
child 1, right: list<item: int64>
child 0, item: int64
child 7, model_action_dim: int64
alignment: struct<lerobot_row: string, per_episode_lerobot_length: string, action_horizon: int64, no_cross_stag (... 20 chars omitted)
child 0, lerobot_row: string
child 1, per_episode_lerobot_length: string
child 2, action_horizon: int64
child 3, no_cross_stage_action_loss: bool
inventory: list<item: struct<path: string, bytes: int64, sha256: string>>
child 0, item: struct<path: string, bytes: int64, sha256: string>
child 0, path: string
child 1, bytes: int64
child 2, sha256: string
inventory_sha256: string
files: int64
bytes: int64
to
{'schema_version': Value('string'), 'files': Value('int64'), 'bytes': Value('int64'), 'inventory': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'inventory_sha256': 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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