Datasets:

---

starpilot-ai

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ego_sample_v0.1.3

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Starpilot 7

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
card_id: string
run: string
l1: string
l2: string
l3: string
environment_id: string
job: string
difficulty: string
operator_id: null
task_description: null
quality: double
hand_score: double
seg: string
section_s: list<item: double>
  child 0, item: double
fps: double
duration_s: double
frames: int64
faces_blurred: int64
hands_requested: bool
hand_zones_raw_timeline: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
hand_zones_episode_relative: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
width: int64
flip: bool
fps_measured_from_imu_clock: double
span_s: double
faces_rejected_aspect: int64
fps_container: double
faces_rejected_tiny: int64
face_score_histogram: struct<0.85: int64, 0.90: int64, 1.00: int64>
  child 0, 0.85: int64
  child 1, 0.90: int64
  child 2, 1.00: int64
ts_last_us: int64
source_chunks: list<item: string>
  child 0, item: string
gpu: string
nonmonotonic_timestamps_repaired: int64
face_detection: bool
fps_processing: double
unreadable_imu_strips: int64
frames_right: int64
frames_missing_s: double
wall_s: double
status: string
face_upper_area_bound: null
faces_held_by_persistence: int64
color_range: string
height: int64
ts_first_us: int64
imu_per_frame: double
imu_samples: int64
hand_zones_requested: list<item: list<item: double>>
  child 0, item: list<item: double>
      child 0, item: double
ms_per_frame: struct<decode: double, strip: double, wb: double, face: double, blur: double, enc: double, skip: dou (... 4 chars omitted)
  child 0, decode: double
  child 1, strip: double
  child 2, wb: double
  child 3, face: double
  child 4, blur: double
  child 5, enc: double
  child 6, skip: double
frames_left: int64
qa_jpegs: list<item: string>
  child 0, item: string
color_space: string
to
{'run': Value('string'), 'card_id': Value('string'), 'seg': Value('string'), 'section_s': List(Value('float64')), 'status': Value('string'), 'frames': Value('int64'), 'frames_left': Value('int64'), 'frames_right': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'imu_samples': Value('int64'), 'imu_per_frame': Value('float64'), 'fps_container': Value('float64'), 'fps_measured_from_imu_clock': Value('float64'), 'duration_s': Value('float64'), 'span_s': Value('float64'), 'faces_blurred': Value('int64'), 'faces_held_by_persistence': Value('int64'), 'faces_rejected_tiny': Value('int64'), 'faces_rejected_aspect': Value('int64'), 'face_upper_area_bound': Value('null'), 'unreadable_imu_strips': Value('int64'), 'nonmonotonic_timestamps_repaired': Value('int64'), 'flip': Value('bool'), 'face_detection': Value('bool'), 'color_space': Value('string'), 'color_range': Value('string'), 'source_chunks': List(Value('string')), 'qa_jpegs': List(Value('string')), 'face_score_histogram': {'0.85': Value('int64'), '0.90': Value('int64'), '1.00': Value('int64')}, 'wall_s': Value('float64'), 'fps_processing': Value('float64'), 'ms_per_frame': {'decode': Value('float64'), 'strip': Value('float64'), 'wb': Value('float64'), 'face': Value('float64'), 'blur': Value('float64'), 'enc': Value('float64'), 'skip': Value('float64')}, 'gpu': Value('string'), 'ts_first_us': Value('int64'), 'ts_last_us': Value('int64'), 'frames_missing_s': Value('float64'), 'hand_zones_requested': List(List(Value('float64')))}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
                  return func(*args, **kwargs)
                File "/src/services/worker/src/worker/utils.py", line 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              card_id: string
              run: string
              l1: string
              l2: string
              l3: string
              environment_id: string
              job: string
              difficulty: string
              operator_id: null
              task_description: null
              quality: double
              hand_score: double
              seg: string
              section_s: list<item: double>
                child 0, item: double
              fps: double
              duration_s: double
              frames: int64
              faces_blurred: int64
              hands_requested: bool
              hand_zones_raw_timeline: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              hand_zones_episode_relative: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              width: int64
              flip: bool
              fps_measured_from_imu_clock: double
              span_s: double
              faces_rejected_aspect: int64
              fps_container: double
              faces_rejected_tiny: int64
              face_score_histogram: struct<0.85: int64, 0.90: int64, 1.00: int64>
                child 0, 0.85: int64
                child 1, 0.90: int64
                child 2, 1.00: int64
              ts_last_us: int64
              source_chunks: list<item: string>
                child 0, item: string
              gpu: string
              nonmonotonic_timestamps_repaired: int64
              face_detection: bool
              fps_processing: double
              unreadable_imu_strips: int64
              frames_right: int64
              frames_missing_s: double
              wall_s: double
              status: string
              face_upper_area_bound: null
              faces_held_by_persistence: int64
              color_range: string
              height: int64
              ts_first_us: int64
              imu_per_frame: double
              imu_samples: int64
              hand_zones_requested: list<item: list<item: double>>
                child 0, item: list<item: double>
                    child 0, item: double
              ms_per_frame: struct<decode: double, strip: double, wb: double, face: double, blur: double, enc: double, skip: dou (... 4 chars omitted)
                child 0, decode: double
                child 1, strip: double
                child 2, wb: double
                child 3, face: double
                child 4, blur: double
                child 5, enc: double
                child 6, skip: double
              frames_left: int64
              qa_jpegs: list<item: string>
                child 0, item: string
              color_space: string
              to
              {'run': Value('string'), 'card_id': Value('string'), 'seg': Value('string'), 'section_s': List(Value('float64')), 'status': Value('string'), 'frames': Value('int64'), 'frames_left': Value('int64'), 'frames_right': Value('int64'), 'width': Value('int64'), 'height': Value('int64'), 'imu_samples': Value('int64'), 'imu_per_frame': Value('float64'), 'fps_container': Value('float64'), 'fps_measured_from_imu_clock': Value('float64'), 'duration_s': Value('float64'), 'span_s': Value('float64'), 'faces_blurred': Value('int64'), 'faces_held_by_persistence': Value('int64'), 'faces_rejected_tiny': Value('int64'), 'faces_rejected_aspect': Value('int64'), 'face_upper_area_bound': Value('null'), 'unreadable_imu_strips': Value('int64'), 'nonmonotonic_timestamps_repaired': Value('int64'), 'flip': Value('bool'), 'face_detection': Value('bool'), 'color_space': Value('string'), 'color_range': Value('string'), 'source_chunks': List(Value('string')), 'qa_jpegs': List(Value('string')), 'face_score_histogram': {'0.85': Value('int64'), '0.90': Value('int64'), '1.00': Value('int64')}, 'wall_s': Value('float64'), 'fps_processing': Value('float64'), 'ms_per_frame': {'decode': Value('float64'), 'strip': Value('float64'), 'wb': Value('float64'), 'face': Value('float64'), 'blur': Value('float64'), 'enc': Value('float64'), 'skip': Value('float64')}, 'gpu': Value('string'), 'ts_first_us': Value('int64'), 'ts_last_us': Value('int64'), 'frames_missing_s': Value('float64'), 'hand_zones_requested': List(List(Value('float64')))}
              because column names don't match