Datasets:

---

mahdi555

/

Data_storage

like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
platform: string
sensor: string
processing_level: string
sceneID: string
acquisition_date: timestamp[s]
projection: string
spatial_resolution: double
cloud_cover: double
QA_bands: list<item: string>
  child 0, item: string
AOI_ID: string
min_value: double
actual_value_range: struct<min: double, max: double>
  child 0, min: double
  child 1, max: double
product_name: string
max_value: double
mean_value: double
masked_pixels: int64
theoretical_range: struct<min: double, max: double>
  child 0, min: double
  child 1, max: double
to
{'product_name': Value('string'), 'platform': Value('string'), 'sensor': Value('string'), 'sceneID': Value('string'), 'acquisition_date': Value('timestamp[s]'), 'min_value': Value('float64'), 'max_value': Value('float64'), 'mean_value': Value('float64'), 'masked_pixels': Value('int64'), 'projection': Value('string'), 'spatial_resolution': Value('float64'), 'AOI_ID': Value('string'), 'cloud_cover': Value('float64'), 'theoretical_range': {'min': Value('float64'), 'max': Value('float64')}, 'actual_value_range': {'min': Value('float64'), 'max': Value('float64')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              platform: string
              sensor: string
              processing_level: string
              sceneID: string
              acquisition_date: timestamp[s]
              projection: string
              spatial_resolution: double
              cloud_cover: double
              QA_bands: list<item: string>
                child 0, item: string
              AOI_ID: string
              min_value: double
              actual_value_range: struct<min: double, max: double>
                child 0, min: double
                child 1, max: double
              product_name: string
              max_value: double
              mean_value: double
              masked_pixels: int64
              theoretical_range: struct<min: double, max: double>
                child 0, min: double
                child 1, max: double
              to
              {'product_name': Value('string'), 'platform': Value('string'), 'sensor': Value('string'), 'sceneID': Value('string'), 'acquisition_date': Value('timestamp[s]'), 'min_value': Value('float64'), 'max_value': Value('float64'), 'mean_value': Value('float64'), 'masked_pixels': Value('int64'), 'projection': Value('string'), 'spatial_resolution': Value('float64'), 'AOI_ID': Value('string'), 'cloud_cover': Value('float64'), 'theoretical_range': {'min': Value('float64'), 'max': Value('float64')}, 'actual_value_range': {'min': Value('float64'), 'max': Value('float64')}}
              because column names don't match