Datasets:

---

arissassina

/

road-defect-pipeline-run2

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
method: string
checkpoint: string
max_depth_m: int64
n_frames: int64
depth_stats: struct<mean_m: double, median_m: double, std_m: double>
  child 0, mean_m: double
  child 1, median_m: double
  child 2, std_m: double
prompts_tested: list<item: string>
  child 0, item: string
prompt_comparison: struct<road surface: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, (... 287 chars omitted)
  child 0, road surface: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
      child 0, mean_area_frac: double
      child 1, median_area_frac: double
      child 2, min_area_frac: double
      child 3, mean_temporal_iou: double
  child 1, asphalt pavement: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
      child 0, mean_area_frac: double
      child 1, median_area_frac: double
      child 2, min_area_frac: double
      child 3, mean_temporal_iou: double
  child 2, road: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
      child 0, mean_area_frac: double
      child 1, median_area_frac: double
      child 2, min_area_frac: double
      child 3, mean_temporal_iou: double
  child 3, _selected: string
mean_area_frac: double
image_size: list<item: int64>
  child 0, item: int64
min_area_frac: double
prompt: string
to
{'method': Value('string'), 'prompt': Value('string'), 'prompts_tested': List(Value('string')), 'prompt_comparison': {'road surface': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, 'asphalt pavement': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, 'road': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, '_selected': Value('string')}, 'n_frames': Value('int64'), 'image_size': List(Value('int64')), 'mean_area_frac': Value('float64'), 'min_area_frac': 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
              method: string
              checkpoint: string
              max_depth_m: int64
              n_frames: int64
              depth_stats: struct<mean_m: double, median_m: double, std_m: double>
                child 0, mean_m: double
                child 1, median_m: double
                child 2, std_m: double
              prompts_tested: list<item: string>
                child 0, item: string
              prompt_comparison: struct<road surface: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, (... 287 chars omitted)
                child 0, road surface: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
                    child 0, mean_area_frac: double
                    child 1, median_area_frac: double
                    child 2, min_area_frac: double
                    child 3, mean_temporal_iou: double
                child 1, asphalt pavement: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
                    child 0, mean_area_frac: double
                    child 1, median_area_frac: double
                    child 2, min_area_frac: double
                    child 3, mean_temporal_iou: double
                child 2, road: struct<mean_area_frac: double, median_area_frac: double, min_area_frac: double, mean_temporal_iou: d (... 6 chars omitted)
                    child 0, mean_area_frac: double
                    child 1, median_area_frac: double
                    child 2, min_area_frac: double
                    child 3, mean_temporal_iou: double
                child 3, _selected: string
              mean_area_frac: double
              image_size: list<item: int64>
                child 0, item: int64
              min_area_frac: double
              prompt: string
              to
              {'method': Value('string'), 'prompt': Value('string'), 'prompts_tested': List(Value('string')), 'prompt_comparison': {'road surface': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, 'asphalt pavement': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, 'road': {'mean_area_frac': Value('float64'), 'median_area_frac': Value('float64'), 'min_area_frac': Value('float64'), 'mean_temporal_iou': Value('float64')}, '_selected': Value('string')}, 'n_frames': Value('int64'), 'image_size': List(Value('int64')), 'mean_area_frac': Value('float64'), 'min_area_frac': Value('float64')}
              because column names don't match