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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
entidad: string
objeto: string
valor: double
moneda: string
fechaFirma: timestamp[s]
contratista: string
departamento: string
sector: string
nivelRiesgo: string
scoreRiesgo: double
total_contracts: int64
total_value: double
contracts_by_source: struct<SECOPI: int64>
  child 0, SECOPI: int64
top_contratistas: list<item: struct<nombre: string, contratos: int64>>
  child 0, item: struct<nombre: string, contratos: int64>
      child 0, nombre: string
      child 1, contratos: int64
red_flags_count: int64
top_entidades: list<item: struct<nombre: string, contratos: int64>>
  child 0, item: struct<nombre: string, contratos: int64>
      child 0, nombre: string
      child 1, contratos: int64
risk_distribution: struct<Bajo: int64, Medio: int64, Alto: int64>
  child 0, Bajo: int64
  child 1, Medio: int64
  child 2, Alto: int64
high_risk_detail: list<item: null>
  child 0, item: null
top_departamentos: list<item: struct<nombre: string, contratos: int64>>
  child 0, item: struct<nombre: string, contratos: int64>
      child 0, nombre: string
      child 1, contratos: int64
high_risk_contracts: int64
to
{'total_contracts': Value('int64'), 'total_value': Value('float64'), 'red_flags_count': Value('int64'), 'risk_distribution': {'Bajo': Value('int64'), 'Medio': Value('int64'), 'Alto': Value('int64')}, 'contracts_by_source': {'SECOPI': Value('int64')}, 'top_entidades': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'top_contratistas': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'top_departamentos': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'high_risk_contracts': Value('int64'), 'high_risk_detail': List(Value('null'))}
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
              id: string
              entidad: string
              objeto: string
              valor: double
              moneda: string
              fechaFirma: timestamp[s]
              contratista: string
              departamento: string
              sector: string
              nivelRiesgo: string
              scoreRiesgo: double
              total_contracts: int64
              total_value: double
              contracts_by_source: struct<SECOPI: int64>
                child 0, SECOPI: int64
              top_contratistas: list<item: struct<nombre: string, contratos: int64>>
                child 0, item: struct<nombre: string, contratos: int64>
                    child 0, nombre: string
                    child 1, contratos: int64
              red_flags_count: int64
              top_entidades: list<item: struct<nombre: string, contratos: int64>>
                child 0, item: struct<nombre: string, contratos: int64>
                    child 0, nombre: string
                    child 1, contratos: int64
              risk_distribution: struct<Bajo: int64, Medio: int64, Alto: int64>
                child 0, Bajo: int64
                child 1, Medio: int64
                child 2, Alto: int64
              high_risk_detail: list<item: null>
                child 0, item: null
              top_departamentos: list<item: struct<nombre: string, contratos: int64>>
                child 0, item: struct<nombre: string, contratos: int64>
                    child 0, nombre: string
                    child 1, contratos: int64
              high_risk_contracts: int64
              to
              {'total_contracts': Value('int64'), 'total_value': Value('float64'), 'red_flags_count': Value('int64'), 'risk_distribution': {'Bajo': Value('int64'), 'Medio': Value('int64'), 'Alto': Value('int64')}, 'contracts_by_source': {'SECOPI': Value('int64')}, 'top_entidades': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'top_contratistas': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'top_departamentos': List({'nombre': Value('string'), 'contratos': Value('int64')}), 'high_risk_contracts': Value('int64'), 'high_risk_detail': List(Value('null'))}
              because column names don't match

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SECOP Colombia — VeedurIA Data Lake

Dataset de contratos SECOP II (Colombia) curado por VeedurIA — Sovereign AI Watchdog (SWAL).

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