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
hdf5_exists: bool
episode_count: int64
invalid_rows: list<item: null>
child 0, item: null
all_action_shapes_8: bool
finite_actions: bool
episode_lengths: struct<0: int64>
child 0, 0: int64
source_success_known: bool
next_done_count: int64
hdf5_demo_shapes: struct<demo_0: list<item: int64>>
child 0, demo_0: list<item: int64>
child 0, item: int64
hdf5_readback: bool
source_success: struct<0: bool>
child 0, 0: bool
episodes_file: null
converter: string
note: string
created_at_utc: string
source_files: list<item: string>
child 0, item: string
task: string
action_format: list<item: string>
child 0, item: string
target_hdf5: string
success_provenance: string
source_dataset: string
to
{'converter': Value('string'), 'created_at_utc': Value('string'), 'source_dataset': Value('string'), 'source_files': List(Value('string')), 'episodes_file': Value('null'), 'target_hdf5': Value('string'), 'task': Value('string'), 'action_format': List(Value('string')), 'episode_count': Value('int64'), 'source_success': {'0': Value('bool')}, 'success_provenance': Value('string'), 'note': 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
hdf5_exists: bool
episode_count: int64
invalid_rows: list<item: null>
child 0, item: null
all_action_shapes_8: bool
finite_actions: bool
episode_lengths: struct<0: int64>
child 0, 0: int64
source_success_known: bool
next_done_count: int64
hdf5_demo_shapes: struct<demo_0: list<item: int64>>
child 0, demo_0: list<item: int64>
child 0, item: int64
hdf5_readback: bool
source_success: struct<0: bool>
child 0, 0: bool
episodes_file: null
converter: string
note: string
created_at_utc: string
source_files: list<item: string>
child 0, item: string
task: string
action_format: list<item: string>
child 0, item: string
target_hdf5: string
success_provenance: string
source_dataset: string
to
{'converter': Value('string'), 'created_at_utc': Value('string'), 'source_dataset': Value('string'), 'source_files': List(Value('string')), 'episodes_file': Value('null'), 'target_hdf5': Value('string'), 'task': Value('string'), 'action_format': List(Value('string')), 'episode_count': Value('int64'), 'source_success': {'0': Value('bool')}, 'success_provenance': Value('string'), 'note': 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.
lam_bench_env_v1
Portable five-scene USD environment dataset plus verified RoboLab manipulation success trajectories, prepared for Latent Action Model (LAM) evaluation.
Contents
scenes_five_portable/? five portable USD scenes:warehouse,pharmacy,dental,office,conference. Entry point per scene:scenes/<scene>/stage.usda. Asset paths are rewritten relative so the package can be relocated anywhere. Isaac Sim is required at runtime (its built-inOmniPBR.mdlis intentionally not vendored). Seemanifest.jsonfor the dependency-closure and validation report (all scenesok: true).robolab_trajectories/? RoboLab successful task trajectories, including distinct tasks underdistinct_tasks/(e.g. FoodPacking1CansTask, MustardInRightBinTask) with LeRobot-style parquet episodes and replay videos.
Notes
- The five scenes passed portable relocation validation (hardlink-mirror method).
- The RoboLab trajectories were verified to run their manipulation task successfully. Joint G1/H1 humanoid + arm co-simulation is NOT yet validated.
- Runtime: OpenUSD / NVIDIA Isaac Sim.
Provenance
Built on the A800 SenseCore dev machine under
/data/users/chenyinan/workspace/lam_bench/dataset/.
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