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
metadata: struct<name: string, version: string, created: timestamp[s], language: string, total_faqs: int64, ca (... 29 chars omitted)
child 0, name: string
child 1, version: string
child 2, created: timestamp[s]
child 3, language: string
child 4, total_faqs: int64
child 5, categories: list<item: string>
child 0, item: string
faqs: list<item: struct<id: string, category: string, question: string, answer: string, keywords: list<ite (... 12 chars omitted)
child 0, item: struct<id: string, category: string, question: string, answer: string, keywords: list<item: string>>
child 0, id: string
child 1, category: string
child 2, question: string
child 3, answer: string
child 4, keywords: list<item: string>
child 0, item: string
conversations: list<item: struct<id: string, category: string, title: string, messages: list<item: struct<role: str (... 24 chars omitted)
child 0, item: struct<id: string, category: string, title: string, messages: list<item: struct<role: string, conten (... 12 chars omitted)
child 0, id: string
child 1, category: string
child 2, title: string
child 3, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'metadata': {'name': Value('string'), 'version': Value('string'), 'created': Value('timestamp[s]'), 'language': Value('string'), 'total_conversations': Value('int64'), 'categories': List(Value('string'))}, 'conversations': List({'id': Value('string'), 'category': Value('string'), 'title': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')})})}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
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 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
for key, pa_table in self._iter_arrow():
^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, in _iter_arrow
for key, pa_table in self.ex_iterable._iter_arrow():
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 494, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
for key, pa_table in self.generate_tables_fn(**gen_kwags):
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 289, in _generate_tables
self._cast_table(pa_table, json_field_paths=json_field_paths),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 124, in _cast_table
pa_table = table_cast(pa_table, self.info.features.arrow_schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
return cast_table_to_schema(table, schema)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
raise CastError(
datasets.table.CastError: Couldn't cast
metadata: struct<name: string, version: string, created: timestamp[s], language: string, total_faqs: int64, ca (... 29 chars omitted)
child 0, name: string
child 1, version: string
child 2, created: timestamp[s]
child 3, language: string
child 4, total_faqs: int64
child 5, categories: list<item: string>
child 0, item: string
faqs: list<item: struct<id: string, category: string, question: string, answer: string, keywords: list<ite (... 12 chars omitted)
child 0, item: struct<id: string, category: string, question: string, answer: string, keywords: list<item: string>>
child 0, id: string
child 1, category: string
child 2, question: string
child 3, answer: string
child 4, keywords: list<item: string>
child 0, item: string
conversations: list<item: struct<id: string, category: string, title: string, messages: list<item: struct<role: str (... 24 chars omitted)
child 0, item: struct<id: string, category: string, title: string, messages: list<item: struct<role: string, conten (... 12 chars omitted)
child 0, id: string
child 1, category: string
child 2, title: string
child 3, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'metadata': {'name': Value('string'), 'version': Value('string'), 'created': Value('timestamp[s]'), 'language': Value('string'), 'total_conversations': Value('int64'), 'categories': List(Value('string'))}, 'conversations': List({'id': Value('string'), 'category': Value('string'), 'title': Value('string'), 'messages': List({'role': Value('string'), 'content': Value('string')})})}
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.
DETRAN-RJ Agent Dataset
Knowledge base estruturada + dados sintéticos para o agente RAG do DETRAN-RJ.
Estrutura
raw/ — Base de Conhecimento
Documentos markdown com informações oficiais:
ctb-codigo-transito-brasileiro-completo.md— CTB completodetran-rj-duda-valores-2026.md— Tabela de valores DUDA 2026detran-rj-servicos-completo.md— Serviços do DETRAN-RJdetran-rj-historico-estrutura.md— Histórico e estruturalegislacao-transito-contran.md— Legislação CONTRANmunicipios-postos-detran.md— Postos por municípiosei-sistema-eletronico-informacoes.md— Info sobre o SEI
synthetic/ — Dados Sintéticos para Treinamento
conversations.json— Conversas simuladasfaqs-duda.json— FAQs sobre DUDAfaqs.json— FAQs gerais do DETRAN
Uso
Complementa o dataset detran (PDFs oficiais) para alimentar o Space Prometheus-detran.
Autor
Moises Costa — MSC Consultoria
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