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
meta: struct<format: int64, version: string, timestamp: string, branch_coverage: bool, show_contexts: bool (... 1 chars omitted)
child 0, format: int64
child 1, version: string
child 2, timestamp: string
child 3, branch_coverage: bool
child 4, show_contexts: bool
files: struct<tools/legislation_source_preflight.py: struct<executed_lines: list<item: int64>, summary: str (... 4436 chars omitted)
child 0, tools/legislation_source_preflight.py: struct<executed_lines: list<item: int64>, summary: struct<covered_lines: int64, num_statements: int6 (... 4389 chars omitted)
child 0, executed_lines: list<item: int64>
child 0, item: int64
child 1, summary: struct<covered_lines: int64, num_statements: int64, percent_covered: double, percent_covered_display (... 310 chars omitted)
child 0, covered_lines: int64
child 1, num_statements: int64
child 2, percent_covered: double
child 3, percent_covered_display: string
child 4, missing_lines: int64
child 5, excluded_lines: int64
child 6, percent_statements_covered: double
child 7, percent_statements_covered_display: string
child 8, num_branches: int64
child 9, num_partial_branches: int64
child 10, covered_branches: int64
child 11, missing_branches: int64
child 12, percent_branches_covered: double
child 13, percent_branches_covered_display: string
child 2, missing_lines
...
red: double
child 13, percent_branches_covered_display: string
child 2, missing_lines: list<item: null>
child 0, item: null
child 3, excluded_lines: list<item: int64>
child 0, item: int64
child 4, start_line: int64
child 5, executed_branches: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 6, missing_branches: list<item: null>
child 0, item: null
totals: struct<covered_lines: int64, num_statements: int64, percent_covered: double, percent_covered_display (... 310 chars omitted)
child 0, covered_lines: int64
child 1, num_statements: int64
child 2, percent_covered: double
child 3, percent_covered_display: string
child 4, missing_lines: int64
child 5, excluded_lines: int64
child 6, percent_statements_covered: double
child 7, percent_statements_covered_display: string
child 8, num_branches: int64
child 9, num_partial_branches: int64
child 10, covered_branches: int64
child 11, missing_branches: int64
child 12, percent_branches_covered: double
child 13, percent_branches_covered_display: string
attempts: list<item: struct<kind: string, result: string, status: string>>
child 0, item: struct<kind: string, result: string, status: string>
child 0, kind: string
child 1, result: string
child 2, status: string
scope: string
to
{'scope': Value('string'), 'attempts': List({'kind': Value('string'), 'result': Value('string'), 'status': 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 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
meta: struct<format: int64, version: string, timestamp: string, branch_coverage: bool, show_contexts: bool (... 1 chars omitted)
child 0, format: int64
child 1, version: string
child 2, timestamp: string
child 3, branch_coverage: bool
child 4, show_contexts: bool
files: struct<tools/legislation_source_preflight.py: struct<executed_lines: list<item: int64>, summary: str (... 4436 chars omitted)
child 0, tools/legislation_source_preflight.py: struct<executed_lines: list<item: int64>, summary: struct<covered_lines: int64, num_statements: int6 (... 4389 chars omitted)
child 0, executed_lines: list<item: int64>
child 0, item: int64
child 1, summary: struct<covered_lines: int64, num_statements: int64, percent_covered: double, percent_covered_display (... 310 chars omitted)
child 0, covered_lines: int64
child 1, num_statements: int64
child 2, percent_covered: double
child 3, percent_covered_display: string
child 4, missing_lines: int64
child 5, excluded_lines: int64
child 6, percent_statements_covered: double
child 7, percent_statements_covered_display: string
child 8, num_branches: int64
child 9, num_partial_branches: int64
child 10, covered_branches: int64
child 11, missing_branches: int64
child 12, percent_branches_covered: double
child 13, percent_branches_covered_display: string
child 2, missing_lines
...
red: double
child 13, percent_branches_covered_display: string
child 2, missing_lines: list<item: null>
child 0, item: null
child 3, excluded_lines: list<item: int64>
child 0, item: int64
child 4, start_line: int64
child 5, executed_branches: list<item: list<item: int64>>
child 0, item: list<item: int64>
child 0, item: int64
child 6, missing_branches: list<item: null>
child 0, item: null
totals: struct<covered_lines: int64, num_statements: int64, percent_covered: double, percent_covered_display (... 310 chars omitted)
child 0, covered_lines: int64
child 1, num_statements: int64
child 2, percent_covered: double
child 3, percent_covered_display: string
child 4, missing_lines: int64
child 5, excluded_lines: int64
child 6, percent_statements_covered: double
child 7, percent_statements_covered_display: string
child 8, num_branches: int64
child 9, num_partial_branches: int64
child 10, covered_branches: int64
child 11, missing_branches: int64
child 12, percent_branches_covered: double
child 13, percent_branches_covered_display: string
attempts: list<item: struct<kind: string, result: string, status: string>>
child 0, item: struct<kind: string, result: string, status: string>
child 0, kind: string
child 1, result: string
child 2, status: string
scope: string
to
{'scope': Value('string'), 'attempts': List({'kind': Value('string'), 'result': Value('string'), 'status': 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.
YAML Metadata Warning:The task_categories "tabular-analysis" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
New Zealand Government Open Data Global Preservation Archive
Automated preservation archive and analytical columnar derivatives of
open government datasets published across catalogue.data.govt.nz.
Archival Provenance & Integrity
- Publisher: New Zealand Open Government Data Programme
- Archive System: archive-govt-nz
- Snapshot Date:
2026-09-20T09:11:39.203733+00:00 - Datasets Catalogued: 0
- Resources Captured into CAS: 0
- Integrity Standard: Dual SHA-256 and BLAKE3 CAS with RO-Crate and BagIt.
Contents
data/: High-performance, Snappy-compressed Parquet analytical derivatives.objects/: Exact byte-identical raw source objects indexed by SHA-256 hash.evidence/: RO-Crate JSON-LD graphs, BagIt packages, and Wayback receipts.
License
Open Government datasets are catalogued under Creative Commons Attribution (NZ GOAL).
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