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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
stats: struct<observation.state: struct<mean: list<item: double>, std: list<item: double>, min: list<item:  (... 151 chars omitted)
  child 0, observation.state: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
      child 0, mean: list<item: double>
          child 0, item: double
      child 1, std: list<item: double>
          child 0, item: double
      child 2, min: list<item: double>
          child 0, item: double
      child 3, max: list<item: double>
          child 0, item: double
  child 1, action: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
      child 0, mean: list<item: double>
          child 0, item: double
      child 1, std: list<item: double>
          child 0, item: double
      child 2, min: list<item: double>
          child 0, item: double
      child 3, max: list<item: double>
          child 0, item: double
tasks: list<item: string>
  child 0, item: string
length: int64
to
{'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': 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
              stats: struct<observation.state: struct<mean: list<item: double>, std: list<item: double>, min: list<item:  (... 151 chars omitted)
                child 0, observation.state: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
                    child 0, mean: list<item: double>
                        child 0, item: double
                    child 1, std: list<item: double>
                        child 0, item: double
                    child 2, min: list<item: double>
                        child 0, item: double
                    child 3, max: list<item: double>
                        child 0, item: double
                child 1, action: struct<mean: list<item: double>, std: list<item: double>, min: list<item: double>, max: list<item: d (... 7 chars omitted)
                    child 0, mean: list<item: double>
                        child 0, item: double
                    child 1, std: list<item: double>
                        child 0, item: double
                    child 2, min: list<item: double>
                        child 0, item: double
                    child 3, max: list<item: double>
                        child 0, item: double
              tasks: list<item: string>
                child 0, item: string
              length: int64
              to
              {'episode_index': Value('int64'), 'tasks': List(Value('string')), 'length': Value('int64')}
              because column names don't match

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Franka Pick And Release LeRobot Dataset

This dataset was generated from Record_layer/data for pi05_droid_jointpos fine-tuning.

  • Prompt: pick up the white cube and place it into the red open box while avoiding the robot arm obstacle
  • FPS: 30
  • Observation state: [q1..q7, gripper_width]
  • Action: next-frame joint-position target [q1..q7, gripper_width]
  • Cameras: observation.images.exterior_image_1_left, observation.images.wrist_image_left, observation.images.exterior_image_2_right
  • Episodes: 1
  • Frames: 587

Robot rows are aligned with tail alignment. In tail mode, the last video frame maps to the last robot state and earlier frames are sampled backward using 1000 Hz robot state frequency and 30 FPS video frequency.

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