Datasets:

---

zjrwtxtechstudio

/

test-lerobot

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
chunks_size: int64
fps: int64
splits: struct<train: string>
data_path: string
video_path: string
features: struct<observation.images.cam_high: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_left_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_low: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_right_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.state: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, observation.effort: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, action: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, episode_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, frame_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, timestamp: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, next.done: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, task_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>>
data_files_size_in_mb: int64
video_files_size_in_mb: int64
vs
observation.state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
frame_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
observation.images.cam_right_wrist: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
next.done: struct<min: list<item: bool>, max: list<item: bool>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
observation.images.cam_left_wrist: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
episode_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
observation.effort: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
observation.images.cam_high: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
observation.images.cam_low: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
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 3496, 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 2257, in _head
                  return next(iter(self.iter(batch_size=n)))
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2461, in iter
                  for key, example in iterator:
                                      ^^^^^^^^
                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 1974, in _iter_arrow
                  yield from self.ex_iterable._iter_arrow()
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 563, 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: 
              codebase_version: string
              robot_type: string
              total_episodes: int64
              total_frames: int64
              total_tasks: int64
              chunks_size: int64
              fps: int64
              splits: struct<train: string>
              data_path: string
              video_path: string
              features: struct<observation.images.cam_high: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_left_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_low: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.images.cam_right_wrist: struct<dtype: string, shape: list<item: int64>, names: list<item: string>, video_info: struct<video.fps: double, video.codec: string, video.pix_fmt: string, video.is_depth_map: bool, has_audio: bool>>, observation.state: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, observation.effort: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, action: struct<dtype: string, shape: list<item: int64>, names: struct<motors: list<item: string>>, fps: double>, episode_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, frame_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, timestamp: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, next.done: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>, task_index: struct<dtype: string, shape: list<item: int64>, names: null, fps: double>>
              data_files_size_in_mb: int64
              video_files_size_in_mb: int64
              vs
              observation.state: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              action: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              frame_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              observation.images.cam_right_wrist: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
              timestamp: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              next.done: struct<min: list<item: bool>, max: list<item: bool>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              task_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              observation.images.cam_left_wrist: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
              episode_index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              observation.effort: struct<min: list<item: double>, max: list<item: double>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              index: struct<min: list<item: int64>, max: list<item: int64>, mean: list<item: double>, std: list<item: double>, count: list<item: int64>>
              observation.images.cam_high: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>
              observation.images.cam_low: struct<min: list<item: list<item: list<item: double>>>, max: list<item: list<item: list<item: double>>>, mean: list<item: list<item: list<item: double>>>, std: list<item: list<item: list<item: double>>>, count: list<item: int64>>