Datasets:

---

LiamFy

/

test_groot4

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 1 was different: 
episode_index: int64
tasks: list<item: string>
length: int64
task_index: int64
task: string
vs
codebase_version: string
robot_type: string
total_episodes: int64
total_frames: int64
total_tasks: int64
total_videos: int64
total_chunks: int64
chunks_size: int64
fps: double
splits: struct<train: string>
data_path: string
video_path: string
features: struct<observation.images.ego_view: 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.wrist_view: 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: list<item: string>>, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, timestamp: struct<dtype: string, shape: list<item: int64>>, annotation.human.action.task_description: struct<dtype: string, shape: list<item: int64>>, task_index: struct<dtype: string, shape: list<item: int64>>, annotation.human.validity: struct<dtype: string, shape: list<item: int64>>, episode_index: struct<dtype: string, shape: list<item: int64>>, index: struct<dtype: string, shape: list<item: int64>>, next.reward: struct<dtype: string, shape: list<item: int64>>, next.done: struct<dtype: string, shape: list<item: int64>>>
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
              tasks: list<item: string>
              length: int64
              task_index: int64
              task: string
              vs
              codebase_version: string
              robot_type: string
              total_episodes: int64
              total_frames: int64
              total_tasks: int64
              total_videos: int64
              total_chunks: int64
              chunks_size: int64
              fps: double
              splits: struct<train: string>
              data_path: string
              video_path: string
              features: struct<observation.images.ego_view: 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.wrist_view: 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: list<item: string>>, action: struct<dtype: string, shape: list<item: int64>, names: list<item: string>>, timestamp: struct<dtype: string, shape: list<item: int64>>, annotation.human.action.task_description: struct<dtype: string, shape: list<item: int64>>, task_index: struct<dtype: string, shape: list<item: int64>>, annotation.human.validity: struct<dtype: string, shape: list<item: int64>>, episode_index: struct<dtype: string, shape: list<item: int64>>, index: struct<dtype: string, shape: list<item: int64>>, next.reward: struct<dtype: string, shape: list<item: int64>>, next.done: struct<dtype: string, shape: list<item: int64>>>