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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
episode_index: int64
tasks: list<item: string>
  child 0, item: string
length: int64
parquet_path: string
video_paths: struct<observation.images.video_left: string, observation.images.video_overhead: string, observation (... 28 chars omitted)
  child 0, observation.images.video_left: string
  child 1, observation.images.video_overhead: string
  child 2, observation.images.video_right: string
target_theta_rad: double
prompt: string
overlay_source_xy_224: list<item: double>
  child 0, item: double
target_image_xy_px: list<item: double>
  child 0, item: double
stats: struct<observation.images.video_left: struct<min: list<item: list<item: list<item: double>>>, max: l (... 4280 chars omitted)
  child 0, observation.images.video_left: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double (... 129 chars omitted)
      child 0, min: list<item: list<item: list<item: double>>>
          child 0, item: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
      child 1, max: list<item: list<item: list<item: double>>>
          child 0, item: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
      child 2, mean: list<item: list<item: list<item: double>>>
          child 0, item: list<item: list<item: double>>
              child 0, item: list<item: double>
                  child 0, item: double
      child 3,
...
, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, count: list<item: int64>
          child 0, item: int64
  child 24, metadata.start_position_move_duration: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, count: list<item: int64>
          child 0, item: int64
  child 25, metadata.use_camera_server: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
      child 0, min: list<item: double>
          child 0, item: double
      child 1, max: list<item: double>
          child 0, item: double
      child 2, mean: list<item: double>
          child 0, item: double
      child 3, std: list<item: double>
          child 0, item: double
      child 4, count: list<item: int64>
          child 0, item: int64
to
{'episode_index': Value('int64'), 'length': Value('int64'), 'target_image_xy_px': List(Value('float64')), 'target_theta_rad': Value('float64'), 'overlay_source_xy_224': List(Value('float64')), 'prompt': Value('string'), 'parquet_path': Value('string'), 'video_paths': {'observation.images.video_left': Value('string'), 'observation.images.video_overhead': Value('string'), 'observation.images.video_right': Value('string')}, 'stats': {'observation.images.video_left': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.images.video_overhead': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.images.video_right': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.state': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'observation.velocity': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(
...
(Value('int64'))}, 'metadata.fps': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.goal_schema_version': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.phase_count': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.sim': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.single_arm': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.start_position_enabled': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.start_position_move_duration': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.use_camera_server': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}}}
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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              episode_index: int64
              tasks: list<item: string>
                child 0, item: string
              length: int64
              parquet_path: string
              video_paths: struct<observation.images.video_left: string, observation.images.video_overhead: string, observation (... 28 chars omitted)
                child 0, observation.images.video_left: string
                child 1, observation.images.video_overhead: string
                child 2, observation.images.video_right: string
              target_theta_rad: double
              prompt: string
              overlay_source_xy_224: list<item: double>
                child 0, item: double
              target_image_xy_px: list<item: double>
                child 0, item: double
              stats: struct<observation.images.video_left: struct<min: list<item: list<item: list<item: double>>>, max: l (... 4280 chars omitted)
                child 0, observation.images.video_left: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double (... 129 chars omitted)
                    child 0, min: list<item: list<item: list<item: double>>>
                        child 0, item: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                    child 1, max: list<item: list<item: list<item: double>>>
                        child 0, item: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                    child 2, mean: list<item: list<item: list<item: double>>>
                        child 0, item: list<item: list<item: double>>
                            child 0, item: list<item: double>
                                child 0, item: double
                    child 3,
              ...
              , max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
                child 24, metadata.start_position_move_duration: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
                child 25, metadata.use_camera_server: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: d (... 33 chars omitted)
                    child 0, min: list<item: double>
                        child 0, item: double
                    child 1, max: list<item: double>
                        child 0, item: double
                    child 2, mean: list<item: double>
                        child 0, item: double
                    child 3, std: list<item: double>
                        child 0, item: double
                    child 4, count: list<item: int64>
                        child 0, item: int64
              to
              {'episode_index': Value('int64'), 'length': Value('int64'), 'target_image_xy_px': List(Value('float64')), 'target_theta_rad': Value('float64'), 'overlay_source_xy_224': List(Value('float64')), 'prompt': Value('string'), 'parquet_path': Value('string'), 'video_paths': {'observation.images.video_left': Value('string'), 'observation.images.video_overhead': Value('string'), 'observation.images.video_right': Value('string')}, 'stats': {'observation.images.video_left': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.images.video_overhead': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.images.video_right': {'min': List(List(List(Value('float64')))), 'max': List(List(List(Value('float64')))), 'mean': List(List(List(Value('float64')))), 'std': List(List(List(Value('float64')))), 'count': List(Value('int64'))}, 'observation.state': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'observation.velocity': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(
              ...
              (Value('int64'))}, 'metadata.fps': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.goal_schema_version': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.phase_count': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.sim': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.single_arm': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.start_position_enabled': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.start_position_move_duration': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}, 'metadata.use_camera_server': {'min': List(Value('float64')), 'max': List(Value('float64')), 'mean': List(Value('float64')), 'std': List(Value('float64')), 'count': List(Value('int64'))}}}
              because column names don't match

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Placement Yellow-Dot Red-Arrow Sanity Dataset

This is a one-episode LeRobot-format sanity export derived from local HDF5 placement data.

Instruction:

move the connector to the yellow dot and match the red arrow orientation

The overhead video is rendered from the raw HDF5 overhead camera frame with an anti-aliased red arrow and yellow source dot plotted from HDF5 metadata:

  • placement/episode_target_image_xy_px
  • placement/episode_target_theta_rad

No green-pixel detection is used. The 1280x800 source image is mapped to a 224x140 view with 42 px vertical padding inside the 224x224 LeRobot video frame.

This repo is intended for visual and format sanity checking before exporting the full dataset.

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