Dataset Viewer
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The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
slot: string
case: string
success: bool
prompt: string
views: struct<top: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, left: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, right: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, wrist: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>>
vs
episodes: int64
successes: int64
transitions: int64
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4645, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2866, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 3073, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2581, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 589, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5012, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              slot: string
              case: string
              success: bool
              prompt: string
              views: struct<top: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, left: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, right: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>, wrist: struct<frames: int64, valid_depth_fraction: double, depth_min_m: double, depth_max_m: double, intrinsics_and_initial_pose_match_reference: bool>>
              vs
              episodes: int64
              successes: int64
              transitions: int64

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Pilot test

Two collections of simulated robot manipulation recordings:

Collection Contents
Object Understanding Existing object measurement and selection collection.
Spatial Transformation 100 successful episodes; 100 HDF5 recordings and 400 videos.

Spatial Transformation includes four RGB/depth views at 256 x 256, 20 Hz.

See Object Understanding notes and Spatial Transformation documentation for collection details and reading instructions.

Spatial Transformation passed automated integrity and physical checks. Full trajectory observability review remains pending; original unverified annotations are retained. Historical files retain original runtime paths as provenance. The Spatial Transformation recording index uses portable relative paths.

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