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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
actions: struct<q01: list<item: double>, q99: list<item: double>>
child 0, q01: list<item: double>
child 0, item: double
child 1, q99: list<item: double>
child 0, item: double
state: struct<q01: list<item: double>, q99: list<item: double>>
child 0, q01: list<item: double>
child 0, item: double
child 1, q99: list<item: double>
child 0, item: double
n_episodes: int64
img_size: int64
snapshot: string
source: string
n_frames: int64
suite: string
n_tasks: int64
state_dim: int64
act_dim: int64
to
{'n_frames': Value('int64'), 'n_episodes': Value('int64'), 'img_size': Value('int64'), 'state_dim': Value('int64'), 'act_dim': Value('int64'), 'n_tasks': Value('int64'), 'source': Value('string'), 'snapshot': Value('string'), 'suite': Value('string')}
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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
actions: struct<q01: list<item: double>, q99: list<item: double>>
child 0, q01: list<item: double>
child 0, item: double
child 1, q99: list<item: double>
child 0, item: double
state: struct<q01: list<item: double>, q99: list<item: double>>
child 0, q01: list<item: double>
child 0, item: double
child 1, q99: list<item: double>
child 0, item: double
n_episodes: int64
img_size: int64
snapshot: string
source: string
n_frames: int64
suite: string
n_tasks: int64
state_dim: int64
act_dim: int64
to
{'n_frames': Value('int64'), 'n_episodes': Value('int64'), 'img_size': Value('int64'), 'state_dim': Value('int64'), 'act_dim': Value('int64'), 'n_tasks': Value('int64'), 'source': Value('string'), 'snapshot': Value('string'), 'suite': 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.
RLE-Bench task05
Demonstration shards mounted by the task05 (nanoVLA) cells: 128x128 frames stored as flat
little-endian arrays with JSON sidecars. rlebench prepare task05 fetches them at a pinned
revision and checks every file against SHA256SUMS.
| directory | source | tasks | episodes | frames | state / action dim |
|---|---|---|---|---|---|
shards_l10_128/ |
LIBERO-10 from physical-intelligence/libero at a4336d589d589045d1c56423ffdf3b88a0e19b1f |
10 | 379 | 101469 | 8 / 7 |
shards_rt15_128/ |
RoboTwin 2.0 aloha-agilex clean demonstrations (clean50) |
15 | 700 | 135519 | 16 / 14 |
In each directory, agent.u8 and wrist.u8 hold frames x 128 x 128 x 3 uint8 images (for
RoboTwin, the two cameras meta.json lists), state.f32 and actions.f32 the per-frame vectors,
ep_end.i32 the episode boundaries, task_idx.u8 the task of each frame and meta.json the
shapes. The remaining files hold task strings and tokens, instructions, episode ids and
normalisation statistics.
The upstream datasets' licenses apply to the derived frames.
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