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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
success: bool
repo_id: string
episodes: int64
frames: int64
fps: int64
method: string
idle_mask: bool
exporter_commit: string
camera_intrinsics: struct<head_camera: list<item: list<item: double>>, left_camera: list<item: list<item: double>>, rig (... 42 chars omitted)
  child 0, head_camera: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 1, left_camera: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
  child 2, right_camera: list<item: list<item: double>>
      child 0, item: list<item: double>
          child 0, item: double
source_slots: list<item: int64>
  child 0, item: int64
image_statistics: string
features: list<item: string>
  child 0, item: string
stats_sha256: string
values: string
sampling: string
algorithm: string
feature_details: struct<timestamp: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_int (... 1930 chars omitted)
  child 0, timestamp: 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 1, retime.source_slot: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions:  (... 17 cha
...
imensions: 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 12, 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 13, action: 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 14, retime.source_seed: 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
implementation_commit: string
quantiles: list<item: double>
  child 0, item: double
to
{'algorithm': Value('string'), 'method': Value('string'), 'values': Value('string'), 'sampling': Value('string'), 'quantiles': List(Value('float64')), 'features': List(Value('string')), 'feature_details': {'timestamp': {'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'))}, 'retime.right_idle': {'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'))}, 'retime.left_idle': {'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'))}, 'observation.arm_active_mask': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'observation.state': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.u': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'index': {'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('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'))}, 'frame_index': {'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.source_seed': {'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
              success: bool
              repo_id: string
              episodes: int64
              frames: int64
              fps: int64
              method: string
              idle_mask: bool
              exporter_commit: string
              camera_intrinsics: struct<head_camera: list<item: list<item: double>>, left_camera: list<item: list<item: double>>, rig (... 42 chars omitted)
                child 0, head_camera: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 1, left_camera: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
                child 2, right_camera: list<item: list<item: double>>
                    child 0, item: list<item: double>
                        child 0, item: double
              source_slots: list<item: int64>
                child 0, item: int64
              image_statistics: string
              features: list<item: string>
                child 0, item: string
              stats_sha256: string
              values: string
              sampling: string
              algorithm: string
              feature_details: struct<timestamp: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_int (... 1930 chars omitted)
                child 0, timestamp: 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 1, retime.source_slot: struct<dimensions: int64, constant_dimensions: list<item: null>, zero_quantile_interval_dimensions:  (... 17 cha
              ...
              imensions: 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 12, 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 13, action: 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 14, retime.source_seed: 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
              implementation_commit: string
              quantiles: list<item: double>
                child 0, item: double
              to
              {'algorithm': Value('string'), 'method': Value('string'), 'values': Value('string'), 'sampling': Value('string'), 'quantiles': List(Value('float64')), 'features': List(Value('string')), 'feature_details': {'timestamp': {'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'))}, 'retime.right_idle': {'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'))}, 'retime.left_idle': {'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'))}, 'observation.arm_active_mask': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'observation.state': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'retime.u': {'dimensions': Value('int64'), 'constant_dimensions': List(Value('null')), 'zero_quantile_interval_dimensions': List(Value('null'))}, 'index': {'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('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'))}, 'frame_index': {'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.source_seed': {'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

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Scan object-CTR — ctr

100 episodes, 55658 valid action frames at25Hz. Native RoboTwin2 simulation with head,left-wrist,right-wrist RGB and14-dimensional measured states/next commanded actions. Both wrists use calibrated centered_fovy90.

The four methods share50qualified scenes selected from a frozen0..199candidate pool.195candidates were examined; each accepted scene passed its source andall5timing replays. Selection biases toward feasible expert scenes; this is not an unfiltered success benchmark.

Sequential:50left-first followedby50right-first. Concurrent:50simultaneous. CTR:100episodes in scene-major order, slot i uses u=i/100 and(i+50)/100. Mixed:34left-first slots0..33,33right-first0..32,33concurrent17..49. Slots map to actualseeds in meta/retime_manifest.json.

Task: leftarm graspsobject,rightarm scanner; independentprepare,barrier,10cmcircle-offset scanalign,then independent fixedside returns. Initial delays alone set idle=true; barriers,scanhold,settling andterminalholds arefalse. OnlyCTR includes retime.left_idle,retime.right_idle andobservation.arm_active_mask; other methods do notenableIdleMask. No retime.overlap column.

State[t] pairs with commanded target[t+1]. All publishednumeric statistics use exactglobal numpy.quantile withlinearinterpolation,excludingpadding. Image quantiles omitted. meta/exact_global_statistics.json records identities andconstantdimensions.

Collection/export source1f7770d5a66c2e80bd48e22721aa410696ccdd39;E750-R006. Full250replay/fourgroup audit passed: recipes,hashes,cameras,masks,actionalignment,globalquantiles andchecksums. Native task evaluation source33e8ff820339723c5116307f3558cb6e0f29b3f3 is separatelyqualified anddoesnotchange these data. Original generated .ctr-revision.json retains its local logicalrepo_id andmanifestSHA; thepublic repository is Shiki42/ctr-scanobject-100ep-ctr.

Limitations: simulated expert demonstrations; no trained-policy performance claim. Final task evaluation requires scan latch plusreleased,supported,stationaryitems in targetregions. No personal data.

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