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Industrial_robotics_high_fidelity_data

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Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      Schema at index 3 was different: 
frame_id: string
sha256: string
dataset_version: string
license: string
timestamp: struct<unix: double, iso: string, nanoseconds: int64>
camera: struct<model: string, resolution: list<item: int64>, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double>>
lighting: struct<ambient_lux: int64, dominant_temperature_k: int64>
scene_metrics: struct<num_objects: int64, num_defective: int64, avg_occlusion: double, scene_complexity_score: double, edge_case_flags: list<item: string>>
objects: list<item: struct<instance_id: int64, class: string, subclass: string, material: string, mass_kg: double, defect: null, defect_severity: null, defect_size_mm: null, bbox_2d_tight: list<item: int64>, pose_6d: struct<translation: list<item: double>, rotation_euler_rad: list<item: double>>, occlusion_ratio: double, truncated: bool, confidence: double, cad_model_hash: string>>
quality_metrics: struct<js_divergence_vs_real: double, pose_error_mean_deg: double, differential_privacy_epsilon: double>
labels: struct<has_defect: bool, application_tags: list<item: string>, synthetic_only: bool, real_data_used: bool>
vs
frame_id: string
sha256: string
dataset_version: string
license: string
timestamp: struct<unix: double, iso: string, nanoseconds: int64>
camera: struct<model: string, resolution: list<item: int64>, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double>>
lighting: struct<ambient_lux: int64, dominant_temperature_k: int64>
scene_metrics: struct<num_objects: int64, num_defective: int64, avg_occlusion: double, scene_complexity_score: double, edge_case_flags: list<item: string>>
objects: list<item: struct<instance_id: int64, class: string, subclass: string, material: string, mass_kg: double, defect: string, defect_severity: string, defect_size_mm: double, bbox_2d_tight: list<item: int64>, pose_6d: struct<translation: list<item: double>, rotation_euler_rad: list<item: double>>, occlusion_ratio: double, truncated: bool, confidence: double, cad_model_hash: string>>
quality_metrics: struct<js_divergence_vs_real: double, pose_error_mean_deg: double, differential_privacy_epsilon: double>
labels: struct<has_defect: bool, application_tags: list<item: string>, synthetic_only: bool, real_data_used: bool>
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 3 was different: 
              frame_id: string
              sha256: string
              dataset_version: string
              license: string
              timestamp: struct<unix: double, iso: string, nanoseconds: int64>
              camera: struct<model: string, resolution: list<item: int64>, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double>>
              lighting: struct<ambient_lux: int64, dominant_temperature_k: int64>
              scene_metrics: struct<num_objects: int64, num_defective: int64, avg_occlusion: double, scene_complexity_score: double, edge_case_flags: list<item: string>>
              objects: list<item: struct<instance_id: int64, class: string, subclass: string, material: string, mass_kg: double, defect: null, defect_severity: null, defect_size_mm: null, bbox_2d_tight: list<item: int64>, pose_6d: struct<translation: list<item: double>, rotation_euler_rad: list<item: double>>, occlusion_ratio: double, truncated: bool, confidence: double, cad_model_hash: string>>
              quality_metrics: struct<js_divergence_vs_real: double, pose_error_mean_deg: double, differential_privacy_epsilon: double>
              labels: struct<has_defect: bool, application_tags: list<item: string>, synthetic_only: bool, real_data_used: bool>
              vs
              frame_id: string
              sha256: string
              dataset_version: string
              license: string
              timestamp: struct<unix: double, iso: string, nanoseconds: int64>
              camera: struct<model: string, resolution: list<item: int64>, intrinsics: struct<fx: double, fy: double, cx: double, cy: double, k1: double, k2: double>>
              lighting: struct<ambient_lux: int64, dominant_temperature_k: int64>
              scene_metrics: struct<num_objects: int64, num_defective: int64, avg_occlusion: double, scene_complexity_score: double, edge_case_flags: list<item: string>>
              objects: list<item: struct<instance_id: int64, class: string, subclass: string, material: string, mass_kg: double, defect: string, defect_severity: string, defect_size_mm: double, bbox_2d_tight: list<item: int64>, pose_6d: struct<translation: list<item: double>, rotation_euler_rad: list<item: double>>, occlusion_ratio: double, truncated: bool, confidence: double, cad_model_hash: string>>
              quality_metrics: struct<js_divergence_vs_real: double, pose_error_mean_deg: double, differential_privacy_epsilon: double>
              labels: struct<has_defect: bool, application_tags: list<item: string>, synthetic_only: bool, real_data_used: bool>