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Auto-converted to Parquet Duplicate
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
observation.state: fixed_size_list<element: float>[7]
  child 0, element: float
action: fixed_size_list<element: float>[7]
  child 0, element: float
timestamp: double
episode_index: int64
frame_index: int64
index: int64
next.done: bool
next.reward: float
task_index: int64
task_description: string
-- schema metadata --
huggingface: '{"info": {"features": {"observation.state": {"feature": {"d' + 586
to
{'timestamp': Value('float64'), 'frame_index': Value('int64'), 'episode_index': Value('string'), 'task_index': Value('string'), 'index': Value('int64'), 'next.done': Value('bool'), 'next.reward': Value('float64'), 'observation.state': List(Value('float64')), 'observation.image': Value('string'), 'action': List(Value('float64'))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2431, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1952, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 1975, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 503, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 350, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 106, in _generate_tables
                  yield f"{file_idx}_{batch_idx}", self._cast_table(pa_table)
                                                   ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/parquet/parquet.py", line 73, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              observation.state: fixed_size_list<element: float>[7]
                child 0, element: float
              action: fixed_size_list<element: float>[7]
                child 0, element: float
              timestamp: double
              episode_index: int64
              frame_index: int64
              index: int64
              next.done: bool
              next.reward: float
              task_index: int64
              task_description: string
              -- schema metadata --
              huggingface: '{"info": {"features": {"observation.state": {"feature": {"d' + 586
              to
              {'timestamp': Value('float64'), 'frame_index': Value('int64'), 'episode_index': Value('string'), 'task_index': Value('string'), 'index': Value('int64'), 'next.done': Value('bool'), 'next.reward': Value('float64'), 'observation.state': List(Value('float64')), 'observation.image': Value('string'), 'action': List(Value('float64'))}
              because column names don't match

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  • βœ… RGB images from front-facing camera (640Γ—480)
  • βœ… Action commands (6D: dx, dy, dz, droll, dpitch, dyaw)
  • βœ… Robot joint states and end-effector pose
  • βœ… Episode success signal (done, reward)
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