Datasets:
The dataset viewer is not available for this split.
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 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.
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.
- Source item: https://www.arcgis.com/home/item.html?id=4c023f2be0bf4993bdf7327f08b794bb
- Feature service: https://services2.arcgis.com/vKb0s8tBIA3bdocZ/ArcGIS/rest/services/Meshblock_2026/FeatureServer/0
- Licence: https://creativecommons.org/licenses/by/4.0/
- Attribution: 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.
- Release: https://www.stats.govt.nz/information-releases/subnational-population-estimates-at-30-june-2025/
- Exact workbook: https://www.stats.govt.nz/assets/Uploads/Subnational-population-estimates/Subnational-population-estimates-At-30-June-2025/Download-data/subnational-population-estimates-at-30-june-2025-provisional.xlsx
- Source SHA-256:
001e8a896cfb50f5ed17836dc815b235e3bcca55ee91c9869a2afaeb054b50a6 - Licence: https://creativecommons.org/licenses/by/4.0/
- Attribution: Stats NZ Tatauranga Aotearoa
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.
- Downloads last month
- 2,996