Datasets:

---

Journey9ni

/

tmp_scannet_gt_points

like 0

Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 3 was different: 
scene_name: string
total_frames_in_dataset: int64
valid_frames_count: int64
invalid_frames_count: int64
output_shape: list<item: int64>
output_dtype: string
valid_indices_shape: list<item: int64>
valid_indices_dtype: string
pointcloud_file: string
indices_file: string
transform_to_world_file: string
coordinate_system: string
first_valid_frame: struct<index: int64, frame_id: string>
image_size: list<item: int64>
original_image_size: list<item: int64>
valid_view_mapping: list<item: struct<index: int64, frame_id: string>>
invalid_views: list<item: null>
frame_order: list<item: string>
vs
scene_name: string
total_frames_in_dataset: int64
valid_frames_count: int64
invalid_frames_count: int64
output_shape: list<item: int64>
output_dtype: string
valid_indices_shape: list<item: int64>
valid_indices_dtype: string
pointcloud_file: string
indices_file: string
transform_to_world_file: string
coordinate_system: string
first_valid_frame: struct<index: int64, frame_id: string>
image_size: list<item: int64>
original_image_size: list<item: int64>
valid_view_mapping: list<item: struct<index: int64, frame_id: string>>
invalid_views: list<item: struct<index: int64, frame_id: string, reason: string>>
frame_order: list<item: string>
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 3 was different: 
              scene_name: string
              total_frames_in_dataset: int64
              valid_frames_count: int64
              invalid_frames_count: int64
              output_shape: list<item: int64>
              output_dtype: string
              valid_indices_shape: list<item: int64>
              valid_indices_dtype: string
              pointcloud_file: string
              indices_file: string
              transform_to_world_file: string
              coordinate_system: string
              first_valid_frame: struct<index: int64, frame_id: string>
              image_size: list<item: int64>
              original_image_size: list<item: int64>
              valid_view_mapping: list<item: struct<index: int64, frame_id: string>>
              invalid_views: list<item: null>
              frame_order: list<item: string>
              vs
              scene_name: string
              total_frames_in_dataset: int64
              valid_frames_count: int64
              invalid_frames_count: int64
              output_shape: list<item: int64>
              output_dtype: string
              valid_indices_shape: list<item: int64>
              valid_indices_dtype: string
              pointcloud_file: string
              indices_file: string
              transform_to_world_file: string
              coordinate_system: string
              first_valid_frame: struct<index: int64, frame_id: string>
              image_size: list<item: int64>
              original_image_size: list<item: int64>
              valid_view_mapping: list<item: struct<index: int64, frame_id: string>>
              invalid_views: list<item: struct<index: int64, frame_id: string, reason: string>>
              frame_order: list<item: string>