Dataset Viewer
Duplicate
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 match

Need 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 completo
  • detran-rj-duda-valores-2026.md — Tabela de valores DUDA 2026
  • detran-rj-servicos-completo.md — Serviços do DETRAN-RJ
  • detran-rj-historico-estrutura.md — Histórico e estrutura
  • legislacao-transito-contran.md — Legislação CONTRAN
  • municipios-postos-detran.md — Postos por município
  • sei-sistema-eletronico-informacoes.md — Info sobre o SEI

synthetic/ — Dados Sintéticos para Treinamento

  • conversations.json — Conversas simuladas
  • faqs-duda.json — FAQs sobre DUDA
  • faqs.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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