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
codebase_version: string
fps: int64
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 2121 chars omitted)
child 0, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 2, retime.source_seed: 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 3, retime.source_slot: 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 4, retime.grid_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 5, retime.u: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, s
...
ed)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
child 9, task_index: struct<dimensions: int64, constant_dimensions: list<item: int64>, zero_quantile_interval_dimensions: (... 19 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: int64>
child 0, item: int64
child 2, zero_quantile_interval_dimensions: list<item: int64>
child 0, item: int64
child 10, frame_index: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions: (... 17 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
child 11, retime.offset_s: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions: (... 17 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
values: string
quantiles: list<item: double>
child 0, item: double
frames: int64
stats_sha256: string
algorithm: string
implementation_commit: string
method: string
image_statistics: string
to
{'algorithm': Value('string'), 'method': Value('string'), 'values': Value('string'), 'sampling': Value('string'), 'quantiles': List(Value('float64')), 'features': List(Value('string')), 'feature_details': {'retime.u': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'observation.state': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'action': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.grid_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.source_seed': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'episode_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.source_slot': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'timestamp': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'task_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'frame_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.offset_s': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}}, 'frames': Value('int64'), 'stats_sha256': Value('string'), 'implementation_commit': Value('string'), 'image_statistics': 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
codebase_version: string
fps: int64
features: struct<observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>> (... 2121 chars omitted)
child 0, observation.state: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 1, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>
child 0, dtype: string
child 1, shape: list<item: int64>
child 0, item: int64
child 2, names: list<item: string>
child 0, item: string
child 2, retime.source_seed: 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 3, retime.source_slot: 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 4, retime.grid_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 5, retime.u: struct<dtype: string, shape: list<item: int64>, names: null>
child 0, dtype: string
child 1, s
...
ed)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
child 9, task_index: struct<dimensions: int64, constant_dimensions: list<item: int64>, zero_quantile_interval_dimensions: (... 19 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: int64>
child 0, item: int64
child 2, zero_quantile_interval_dimensions: list<item: int64>
child 0, item: int64
child 10, frame_index: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions: (... 17 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
child 11, retime.offset_s: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions: (... 17 chars omitted)
child 0, dimensions: int64
child 1, constant_dimensions: list<item: null>
child 0, item: null
child 2, zero_quantile_interval_dimensions: list<item: null>
child 0, item: null
values: string
quantiles: list<item: double>
child 0, item: double
frames: int64
stats_sha256: string
algorithm: string
implementation_commit: string
method: string
image_statistics: string
to
{'algorithm': Value('string'), 'method': Value('string'), 'values': Value('string'), 'sampling': Value('string'), 'quantiles': List(Value('float64')), 'features': List(Value('string')), 'feature_details': {'retime.u': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'observation.state': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'action': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.grid_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.source_seed': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'episode_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.source_slot': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'timestamp': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'task_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('int64')), 'zero_quantile_interval_dimensions': List(Value('int64'))}, 'frame_index': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.offset_s': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}}, 'frames': Value('int64'), 'stats_sha256': Value('string'), 'implementation_commit': Value('string'), 'image_statistics': 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.
scanobject — left-to-right 50
This dataset contains exactly the first 50 episodes (indices 0–49) of
Shiki42/ctr-scanobject-100ep-sequential.
Parent immutable revision: 2dbc6da53e2c4fb41cfa8bfdecc26d96866e0966.
Every selected episode is left-arm-first Sequential: the right arm starts after the left arm finishes each independent stage. Scan retains its synchronized scan stage and reuses the same start-delay plan for returning the two items.
All numeric rows, including observations, commands, timestamps and source-seed metadata, are identical to the parent subset. Videos are losslessly repacked from the selected frames and every decoded RGB frame is checked for equality. No trajectories are regenerated. Numeric normalization statistics are recomputed as exact global quantiles across these 50 episodes. Image statistics are computed from the selected decoded pixels; image quantiles are omitted.
This is a Sequential subset, not CTR timing data: it has no IdleMask fields and
IdleMask must remain disabled for ordinary training. New FOV wrist camera
calibration, task definitions and source-control provenance are inherited unchanged.
The parent collection was filtered for expert feasibility, not an unfiltered
benchmark. meta/subset-receipt.json records selection and verification results.
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