Dataset Viewer
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: 
episode_index: int64
episode_id: string
length: int64
task_index: int64
task: string
vs
codebase_version: string
dataset_type: string
robot_type: string
total_episodes: int64
total_frames: int64
fps: int64
video: bool
depth: bool
audio: bool
encoding: struct<images: struct<observation.images.front: string>>
resolution: struct<observation.images.front: list<item: int64>>
robot_config: struct<name: string, num_joints: int64, gripper: bool>
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 228, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 3422, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2187, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 2391, in iter
                  for key, example in iterator:
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1882, in __iter__
                  for key, pa_table in self._iter_arrow():
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 1904, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/iterable_dataset.py", line 527, in _iter_arrow
                  yield new_key, pa.Table.from_batches(chunks_buffer)
                File "pyarrow/table.pxi", line 4116, in pyarrow.lib.Table.from_batches
                File "pyarrow/error.pxi", line 154, in pyarrow.lib.pyarrow_internal_check_status
                File "pyarrow/error.pxi", line 91, in pyarrow.lib.check_status
              pyarrow.lib.ArrowInvalid: Schema at index 1 was different: 
              episode_index: int64
              episode_id: string
              length: int64
              task_index: int64
              task: string
              vs
              codebase_version: string
              dataset_type: string
              robot_type: string
              total_episodes: int64
              total_frames: int64
              fps: int64
              video: bool
              depth: bool
              audio: bool
              encoding: struct<images: struct<observation.images.front: string>>
              resolution: struct<observation.images.front: list<item: int64>>
              robot_config: struct<name: string, num_joints: int64, gripper: bool>

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.

Dataset Trimming Information

This dataset has been trimmed to the first fold detection point.

  • Original Dataset: arsenxeno/record-test
  • Trimmed Episodes: 4
  • Average Trimmed Length: 438 frames
  • Average Fold Time: 29.1 seconds

record-test

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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