Dataset Viewer
Duplicate
The dataset viewer is not available for this split.
Cannot extract the features (columns) for the split 'train' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
name: string
steps: list<item: struct<registry_name: string, config: struct<eps: double, features: struct<action: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, STATE: string, ACTION: string>, device: string, float_dtype: null>, state_file: string>>
vs
name: string
steps: list<item: struct<registry_name: string, config: struct<rename_map: struct<>, device: string, float_dtype: null, eps: double, features: struct<observation.state: struct<type: string, shape: list<item: int64>>, observation.images.main: struct<type: string, shape: list<item: int64>>, observation.images.secondary_0: struct<type: string, shape: list<item: int64>>, action: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, STATE: string, ACTION: string>>, state_file: string>>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 243, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                                     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 3608, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2368, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2573, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2060, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2082, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 572, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                                 ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/table.pxi", line 5039, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              name: string
              steps: list<item: struct<registry_name: string, config: struct<eps: double, features: struct<action: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, STATE: string, ACTION: string>, device: string, float_dtype: null>, state_file: string>>
              vs
              name: string
              steps: list<item: struct<registry_name: string, config: struct<rename_map: struct<>, device: string, float_dtype: null, eps: double, features: struct<observation.state: struct<type: string, shape: list<item: int64>>, observation.images.main: struct<type: string, shape: list<item: int64>>, observation.images.secondary_0: struct<type: string, shape: list<item: int64>>, action: struct<type: string, shape: list<item: int64>>>, norm_map: struct<VISUAL: string, STATE: string, ACTION: string>>, state_file: string>>

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

example_dataset

This dataset was generated using phosphobot.

This dataset contains a series of episodes recorded with a robot and multiple cameras. It can be directly used to train a policy using imitation learning. It's compatible with LeRobot.

To get started in robotics, get your own phospho starter pack..

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