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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
schema_version: string
source: string
run_id: string
attempt: string
private_preservation: struct<prefix: string, revision: string, manifest_sha256: string>
  child 0, prefix: string
  child 1, revision: string
  child 2, manifest_sha256: string
raw_bytes_verified: bool
acquisition_complete: bool
public_payload: bool
scope: string
code_revision: string
payload_visibility: string
archive_sha256: string
producer_sha256: string
files: list<item: struct<path: string, bytes: int64, sha256: string>>
  child 0, item: struct<path: string, bytes: int64, sha256: string>
      child 0, path: string
      child 1, bytes: int64
      child 2, sha256: string
archive_bytes: int64
public_scope: string
manifest_sha256: string
capture_exit_code: int64
non_claims: list<item: string>
  child 0, item: string
to
{'schema_version': Value('string'), 'source': Value('string'), 'run_id': Value('string'), 'attempt': Value('string'), 'code_revision': Value('string'), 'capture_exit_code': Value('int64'), 'acquisition_complete': Value('bool'), 'scope': Value('string'), 'producer_sha256': Value('string'), 'non_claims': List(Value('string')), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'archive_sha256': Value('string'), 'archive_bytes': Value('int64'), 'payload_visibility': Value('string'), 'public_scope': Value('string'), 'manifest_sha256': Value('string')}
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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              schema_version: string
              source: string
              run_id: string
              attempt: string
              private_preservation: struct<prefix: string, revision: string, manifest_sha256: string>
                child 0, prefix: string
                child 1, revision: string
                child 2, manifest_sha256: string
              raw_bytes_verified: bool
              acquisition_complete: bool
              public_payload: bool
              scope: string
              code_revision: string
              payload_visibility: string
              archive_sha256: string
              producer_sha256: string
              files: list<item: struct<path: string, bytes: int64, sha256: string>>
                child 0, item: struct<path: string, bytes: int64, sha256: string>
                    child 0, path: string
                    child 1, bytes: int64
                    child 2, sha256: string
              archive_bytes: int64
              public_scope: string
              manifest_sha256: string
              capture_exit_code: int64
              non_claims: list<item: string>
                child 0, item: string
              to
              {'schema_version': Value('string'), 'source': Value('string'), 'run_id': Value('string'), 'attempt': Value('string'), 'code_revision': Value('string'), 'capture_exit_code': Value('int64'), 'acquisition_complete': Value('bool'), 'scope': Value('string'), 'producer_sha256': Value('string'), 'non_claims': List(Value('string')), 'files': List({'path': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}), 'archive_sha256': Value('string'), 'archive_bytes': Value('int64'), 'payload_visibility': Value('string'), 'public_scope': Value('string'), 'manifest_sha256': Value('string')}
              because column names don't match

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RIOPA Public Data Archive

This Hugging Face dataset stores immutable, source-specific public-data archive packets acquired by the edithatogo/open_social_data GitHub Actions workflow. Every packet keeps source metadata, raw paged responses, retrieval receipts, completeness checks, SHA-256 checksums and explicit non-claims together.

Source packets

stats-nz-meshblock-2026 is the definitive Stats NZ meshblock boundary edition as at 1 January 2026, obtained from the public ArcGIS Feature Service. The source item identifies Creative Commons Attribution 4.0 International and requires attribution to Stats NZ Tatauranga Aotearoa.

stats-nz-subnational-population-2025 preserves the exact provisional Stats NZ workbook published for the 30 June 2025 edition. It contains estimated resident population tables for regional councils, territorial authorities and Auckland local-board areas, including reference dates from 2023 through 2025.

Integrity and use

Use a named Hugging Face commit revision and the packet's manifest.json. Verify checksums.sha256 before use. Mutable latest.json is discovery-only and must not be used as an analytical or citation identity.

The Meshblock packet contains no population observations. The population packet preserves a provisional publication without revising or finalising its estimates. Neither packet makes completeness, legal-status, accessibility, facility, causal or operational claims beyond its named source edition and captured bytes. The source limitations and liability statements remain applicable.

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