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
answer: struct<answerAddress: string, boundaryJoin: string, freshness: string, geographicCodeSystem: string, (... 814 chars omitted)
  child 0, answerAddress: string
  child 1, boundaryJoin: string
  child 2, freshness: string
  child 3, geographicCodeSystem: string
  child 4, localGovCode: null
  child 5, questionId: string
  child 6, resources: list<item: struct<datasetId: string, policyAddress: string, populationScope: string, projection: str (... 632 chars omitted)
      child 0, item: struct<datasetId: string, policyAddress: string, populationScope: string, projection: struct<impleme (... 620 chars omitted)
          child 0, datasetId: string
          child 1, policyAddress: string
          child 2, populationScope: string
          child 3, projection: struct<implementationSha256: string, meaning: string, sourceAnswerAddress: string, sourceResourceId: (... 27 chars omitted)
              child 0, implementationSha256: string
              child 1, meaning: string
              child 2, sourceAnswerAddress: string
              child 3, sourceResourceId: string
              child 4, sourceRows: int64
          child 4, reason: null
          child 5, resourceId: string
          child 6, rows: list<item: struct<fyr: string, laf_cd: string, laf_hg_nm: string, total: int64, wa_laf_hg_nm: string (... 39 chars omitted)
              child 0, item: struct<fyr: string, laf_cd: string, laf_hg_nm: string, total: int64, wa_laf_hg_nm: string, amount: i (... 27 chars omitted)
 
...
tring, name: string, pii: string, required: null, s (... 88 chars omitted)
              child 0, item: struct<description: string, example: string, name: string, pii: string, required: null, source_name: (... 76 chars omitted)
                  child 0, description: string
                  child 1, example: string
                  child 2, name: string
                  child 3, pii: string
                  child 4, required: null
                  child 5, source_name: null
                  child 6, type: string
                  child 7, unit: string
                  child 8, aggregation: string
                  child 9, sourceField: string
          child 8, snapshot: null
          child 9, sourceUrl: string
          child 10, status: string
  child 7, status: string
  child 8, year: int64
run: struct<citizenQuestions: struct<bytes: int64, name: string, path: string, sha256: string>>
  child 0, citizenQuestions: struct<bytes: int64, name: string, path: string, sha256: string>
      child 0, bytes: int64
      child 1, name: string
      child 2, path: string
      child 3, sha256: string
files: list<item: struct<bytes: int64, layer: string, object: string, path: string, sha256: string>>
  child 0, item: struct<bytes: int64, layer: string, object: string, path: string, sha256: string>
      child 0, bytes: int64
      child 1, layer: string
      child 2, object: string
      child 3, path: string
      child 4, sha256: string
datasetId: string
schemaVersion: int64
to
{'datasetId': Value('string'), 'files': List({'bytes': Value('int64'), 'layer': Value('string'), 'object': Value('string'), 'path': Value('string'), 'sha256': Value('string')}), 'run': {'citizenQuestions': {'bytes': Value('int64'), 'name': Value('string'), 'path': Value('string'), 'sha256': Value('string')}}, 'schemaVersion': Value('int64')}
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
              answer: struct<answerAddress: string, boundaryJoin: string, freshness: string, geographicCodeSystem: string, (... 814 chars omitted)
                child 0, answerAddress: string
                child 1, boundaryJoin: string
                child 2, freshness: string
                child 3, geographicCodeSystem: string
                child 4, localGovCode: null
                child 5, questionId: string
                child 6, resources: list<item: struct<datasetId: string, policyAddress: string, populationScope: string, projection: str (... 632 chars omitted)
                    child 0, item: struct<datasetId: string, policyAddress: string, populationScope: string, projection: struct<impleme (... 620 chars omitted)
                        child 0, datasetId: string
                        child 1, policyAddress: string
                        child 2, populationScope: string
                        child 3, projection: struct<implementationSha256: string, meaning: string, sourceAnswerAddress: string, sourceResourceId: (... 27 chars omitted)
                            child 0, implementationSha256: string
                            child 1, meaning: string
                            child 2, sourceAnswerAddress: string
                            child 3, sourceResourceId: string
                            child 4, sourceRows: int64
                        child 4, reason: null
                        child 5, resourceId: string
                        child 6, rows: list<item: struct<fyr: string, laf_cd: string, laf_hg_nm: string, total: int64, wa_laf_hg_nm: string (... 39 chars omitted)
                            child 0, item: struct<fyr: string, laf_cd: string, laf_hg_nm: string, total: int64, wa_laf_hg_nm: string, amount: i (... 27 chars omitted)
               
              ...
              tring, name: string, pii: string, required: null, s (... 88 chars omitted)
                            child 0, item: struct<description: string, example: string, name: string, pii: string, required: null, source_name: (... 76 chars omitted)
                                child 0, description: string
                                child 1, example: string
                                child 2, name: string
                                child 3, pii: string
                                child 4, required: null
                                child 5, source_name: null
                                child 6, type: string
                                child 7, unit: string
                                child 8, aggregation: string
                                child 9, sourceField: string
                        child 8, snapshot: null
                        child 9, sourceUrl: string
                        child 10, status: string
                child 7, status: string
                child 8, year: int64
              run: struct<citizenQuestions: struct<bytes: int64, name: string, path: string, sha256: string>>
                child 0, citizenQuestions: struct<bytes: int64, name: string, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, name: string
                    child 2, path: string
                    child 3, sha256: string
              files: list<item: struct<bytes: int64, layer: string, object: string, path: string, sha256: string>>
                child 0, item: struct<bytes: int64, layer: string, object: string, path: string, sha256: string>
                    child 0, bytes: int64
                    child 1, layer: string
                    child 2, object: string
                    child 3, path: string
                    child 4, sha256: string
              datasetId: string
              schemaVersion: int64
              to
              {'datasetId': Value('string'), 'files': List({'bytes': Value('int64'), 'layer': Value('string'), 'object': Value('string'), 'path': Value('string'), 'sha256': Value('string')}), 'run': {'citizenQuestions': {'bytes': Value('int64'), 'name': Value('string'), 'path': Value('string'), 'sha256': Value('string')}}, 'schemaVersion': Value('int64')}
              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.

지방교부세 감액 사건 (재정운용 위반 제재)

행정안전부가 지방교부세법 위반(법령위반 과다지출·수입징수 태만·특별교부세 조건위반)으로 보통·특별교부세를 감액한 개별 사건. 기관명·감액금액·사유유형·위반내용 자연어를 담는다. 감액은 공식 제재액이며 손실·환수와 별도로 표시한다. 실측 2020~2025 373건, 총 감액 851억(법령위반과다지출 270·수입징수태만 60). 예: 충남천안시 45억(진입도로 환매권 통지 부적정), 울산남구 28억(생활폐기물 수의계약 부적정). 감액은 손실이 아니라 위반에 대한 제재다 (금액 유형 분리).

출처: https://www.lofin365.go.kr/

이용 조건: LLBSR 공식 API는 출처표시 조건으로 상업·비상업 이용과 변형을 허용한다. 자유서술의 개인정보 검토와 다른 화면 API의 권리를 별도로 확인한다.

manifest.json은 현재 검증된 파일의 계층·원래 경로·SHA-256·크기·불변 객체 경로를 제공한다. 같은 commit revision으로 manifest와 객체를 내려받고 해시를 검증한다. 예산현액과 지출액은 합산하지 않는다.

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