Datasets:
Dataset Viewer
The dataset viewer is not available for this split.
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 matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
SECOP Colombia — VeedurIA Data Lake
Dataset de contratos SECOP II (Colombia) curado por VeedurIA — Sovereign AI Watchdog (SWAL).
- Fuente: datos.gov.co /resource/jbjy-vk9h (SECOP II) + rpmr-utcd (SECOP Integrado)
- Formato: JSON (Gold Layer normalizado) + Parquet particionado country=co/year=2026
- Licencia: CC BY 4.0 (datos abiertos gobierno Colombia)
- Repo: https://github.com/iberi22/VeedurIA
- Site: https://veeduria-col.pages.dev
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