Datasets:

---

links-ads

/

wildfire-risk-products

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LINKS - AI, Data & Space 44

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
type: string
id: string
stac_version: string
description: string
links: list<item: struct<rel: string, href: string, type: string>>
  child 0, item: struct<rel: string, href: string, type: string>
      child 0, rel: string
      child 1, href: string
      child 2, type: string
wildfire:slug: string
wildfire:product: string
extent: struct<spatial: struct<bbox: list<item: list<item: double>>>, temporal: struct<interval: list<item:  (... 27 chars omitted)
  child 0, spatial: struct<bbox: list<item: list<item: double>>>
      child 0, bbox: list<item: list<item: double>>
          child 0, item: list<item: double>
              child 0, item: double
  child 1, temporal: struct<interval: list<item: list<item: timestamp[s]>>>
      child 0, interval: list<item: list<item: timestamp[s]>>
          child 0, item: list<item: timestamp[s]>
              child 0, item: timestamp[s]
license: string
to
{'type': Value('string'), 'id': Value('string'), 'stac_version': Value('string'), 'description': Value('string'), 'links': List({'rel': Value('string'), 'href': Value('string'), 'type': Value('string')})}
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
              type: string
              id: string
              stac_version: string
              description: string
              links: list<item: struct<rel: string, href: string, type: string>>
                child 0, item: struct<rel: string, href: string, type: string>
                    child 0, rel: string
                    child 1, href: string
                    child 2, type: string
              wildfire:slug: string
              wildfire:product: string
              extent: struct<spatial: struct<bbox: list<item: list<item: double>>>, temporal: struct<interval: list<item:  (... 27 chars omitted)
                child 0, spatial: struct<bbox: list<item: list<item: double>>>
                    child 0, bbox: list<item: list<item: double>>
                        child 0, item: list<item: double>
                            child 0, item: double
                child 1, temporal: struct<interval: list<item: list<item: timestamp[s]>>>
                    child 0, interval: list<item: list<item: timestamp[s]>>
                        child 0, item: list<item: timestamp[s]>
                            child 0, item: timestamp[s]
              license: string
              to
              {'type': Value('string'), 'id': Value('string'), 'stac_version': Value('string'), 'description': Value('string'), 'links': List({'rel': Value('string'), 'href': Value('string'), 'type': Value('string')})}
              because column names don't match