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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
schema_version: string
scope: string
decision: string
decision_rationale: string
criteria: list<item: string>
child 0, item: string
standards: list<item: struct<name: string, status: string, decision: string, benefits: list<item: string>, gaps (... 22 chars omitted)
child 0, item: struct<name: string, status: string, decision: string, benefits: list<item: string>, gaps: list<item (... 10 chars omitted)
child 0, name: string
child 1, status: string
child 2, decision: string
child 3, benefits: list<item: string>
child 0, item: string
child 4, gaps: list<item: string>
child 0, item: string
release_requirement: bool
adoption_gates: list<item: string>
child 0, item: string
fixture_validation: struct<fixture_id: string, checks: list<item: struct<path: string, exists: bool, sha256: string, exp (... 66 chars omitted)
child 0, fixture_id: string
child 1, checks: list<item: struct<path: string, exists: bool, sha256: string, expected_sha256: string, valid: bool>>
child 0, item: struct<path: string, exists: bool, sha256: string, expected_sha256: string, valid: bool>
child 0, path: string
child 1, exists: bool
child 2, sha256: string
child 3, expected_sha256: string
child 4, valid: bool
child 2, valid: bool
child 3, synthetic: bool
ro_crate_validation: struct<standard: string, profile: string, metadata_present: bool, valid: bool, jsonld_graph: bool, r (... 19 chars omitt
...
string, evidence: list<item: string>>
child 0, status: string
child 1, reason: string
child 2, evidence: list<item: string>
child 0, item: string
child 1, rights_and_access: struct<status: string, reason: string, evidence: list<item: string>>
child 0, status: string
child 1, reason: string
child 2, evidence: list<item: string>
child 0, item: string
next_required_actions: list<item: string>
child 0, item: string
source_dataset_mapping: list<item: struct<dataset_slug: string, roles: list<item: string>, ckan_id_hint: string, hf_id_hint: (... 9 chars omitted)
child 0, item: struct<dataset_slug: string, roles: list<item: string>, ckan_id_hint: string, hf_id_hint: string>
child 0, dataset_slug: string
child 1, roles: list<item: string>
child 0, item: string
child 2, ckan_id_hint: string
child 3, hf_id_hint: string
target_platforms: struct<hugging_face: struct<namespace: string, dataset_slug: string, planned_collection: string, can (... 87 chars omitted)
child 0, hugging_face: struct<namespace: string, dataset_slug: string, planned_collection: string, candidate_dataset_slug: (... 7 chars omitted)
child 0, namespace: string
child 1, dataset_slug: string
child 2, planned_collection: string
child 3, candidate_dataset_slug: string
child 1, zenodo: struct<collection: string, record_owner: string>
child 0, collection: string
child 1, record_owner: string
to
{'schema_version': Value('string'), 'status': Value('string'), 'catalogue_scope': {'source': Value('string'), 'organization_slug': Value('string'), 'dataset_count': Value('int64'), 'source_type': Value('string'), 'temporal_coverage': {'from': Value('timestamp[s]'), 'to': Value('timestamp[s]'), 'source': Value('string')}, 'spatial_coverage': Value('string'), 'license_observed': Value('string'), 'access': Value('string')}, 'target_platforms': {'hugging_face': {'namespace': Value('string'), 'dataset_slug': Value('string'), 'planned_collection': Value('string'), 'candidate_dataset_slug': Value('string')}, 'zenodo': {'collection': Value('string'), 'record_owner': Value('string')}}, 'source_dataset_mapping': List({'dataset_slug': Value('string'), 'roles': List(Value('string')), 'ckan_id_hint': Value('string'), 'hf_id_hint': Value('string')}), 'validation': {'collection_membership': {'status': Value('string'), 'reason': Value('string'), 'evidence': List(Value('string'))}, 'rights_and_access': {'status': Value('string'), 'reason': Value('string'), 'evidence': List(Value('string'))}}, 'next_required_actions': List(Value('string'))}
because column names don't match
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, in _prepare_split_single
for key, table in generator:
^^^^^^^^^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
for item in generator(*args, **kwargs):
~~~~~~~~~^^^^^^^^^^^^^^^^^
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
scope: string
decision: string
decision_rationale: string
criteria: list<item: string>
child 0, item: string
standards: list<item: struct<name: string, status: string, decision: string, benefits: list<item: string>, gaps (... 22 chars omitted)
child 0, item: struct<name: string, status: string, decision: string, benefits: list<item: string>, gaps: list<item (... 10 chars omitted)
child 0, name: string
child 1, status: string
child 2, decision: string
child 3, benefits: list<item: string>
child 0, item: string
child 4, gaps: list<item: string>
child 0, item: string
release_requirement: bool
adoption_gates: list<item: string>
child 0, item: string
fixture_validation: struct<fixture_id: string, checks: list<item: struct<path: string, exists: bool, sha256: string, exp (... 66 chars omitted)
child 0, fixture_id: string
child 1, checks: list<item: struct<path: string, exists: bool, sha256: string, expected_sha256: string, valid: bool>>
child 0, item: struct<path: string, exists: bool, sha256: string, expected_sha256: string, valid: bool>
child 0, path: string
child 1, exists: bool
child 2, sha256: string
child 3, expected_sha256: string
child 4, valid: bool
child 2, valid: bool
child 3, synthetic: bool
ro_crate_validation: struct<standard: string, profile: string, metadata_present: bool, valid: bool, jsonld_graph: bool, r (... 19 chars omitt
...
string, evidence: list<item: string>>
child 0, status: string
child 1, reason: string
child 2, evidence: list<item: string>
child 0, item: string
child 1, rights_and_access: struct<status: string, reason: string, evidence: list<item: string>>
child 0, status: string
child 1, reason: string
child 2, evidence: list<item: string>
child 0, item: string
next_required_actions: list<item: string>
child 0, item: string
source_dataset_mapping: list<item: struct<dataset_slug: string, roles: list<item: string>, ckan_id_hint: string, hf_id_hint: (... 9 chars omitted)
child 0, item: struct<dataset_slug: string, roles: list<item: string>, ckan_id_hint: string, hf_id_hint: string>
child 0, dataset_slug: string
child 1, roles: list<item: string>
child 0, item: string
child 2, ckan_id_hint: string
child 3, hf_id_hint: string
target_platforms: struct<hugging_face: struct<namespace: string, dataset_slug: string, planned_collection: string, can (... 87 chars omitted)
child 0, hugging_face: struct<namespace: string, dataset_slug: string, planned_collection: string, candidate_dataset_slug: (... 7 chars omitted)
child 0, namespace: string
child 1, dataset_slug: string
child 2, planned_collection: string
child 3, candidate_dataset_slug: string
child 1, zenodo: struct<collection: string, record_owner: string>
child 0, collection: string
child 1, record_owner: string
to
{'schema_version': Value('string'), 'status': Value('string'), 'catalogue_scope': {'source': Value('string'), 'organization_slug': Value('string'), 'dataset_count': Value('int64'), 'source_type': Value('string'), 'temporal_coverage': {'from': Value('timestamp[s]'), 'to': Value('timestamp[s]'), 'source': Value('string')}, 'spatial_coverage': Value('string'), 'license_observed': Value('string'), 'access': Value('string')}, 'target_platforms': {'hugging_face': {'namespace': Value('string'), 'dataset_slug': Value('string'), 'planned_collection': Value('string'), 'candidate_dataset_slug': Value('string')}, 'zenodo': {'collection': Value('string'), 'record_owner': Value('string')}}, 'source_dataset_mapping': List({'dataset_slug': Value('string'), 'roles': List(Value('string')), 'ckan_id_hint': Value('string'), 'hf_id_hint': Value('string')}), 'validation': {'collection_membership': {'status': Value('string'), 'reason': Value('string'), 'evidence': List(Value('string'))}, 'rights_and_access': {'status': Value('string'), 'reason': Value('string'), 'evidence': List(Value('string'))}}, 'next_required_actions': List(Value('string'))}
because column names don't match
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
~~~~~~~~~~~~~~~~~~~~~~~~~^
builder, max_dataset_size_bytes=max_dataset_size_bytes
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
)
^
File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1694, in _prepare_split
for job_id, done, content in self._prepare_split_single(
~~~~~~~~~~~~~~~~~~~~~~~~~~^
gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
):
^
File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1880, in _prepare_split_single
raise DatasetGenerationError("An error occurred while generating the dataset") from e
datasets.exceptions.DatasetGenerationError: An error occurred while generating the datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
schema_version string | status string | catalogue_scope dict | target_platforms dict | source_dataset_mapping list | validation dict | next_required_actions list |
|---|---|---|---|---|---|---|
archive-govt-nz.treasury-taxonomy-alignment/v1 | validation-blocked | {
"source": "data.govt.nz CKAN (The Treasury)",
"organization_slug": "the-treasury",
"dataset_count": 54,
"source_type": "government-fiscal-open-data",
"temporal_coverage": {
"from": "2021-07-01T00:00:00",
"to": "2026-06-30T00:00:00",
"source": "phase-10 capture window"
},
"spatial_coverage": ... | {
"hugging_face": {
"namespace": "edithatogo",
"dataset_slug": "archive-govt-nz-treasury",
"planned_collection": "not-set",
"candidate_dataset_slug": "archive-govt-nz-treasury"
},
"zenodo": {
"collection": "not-set",
"record_owner": "not-set"
}
} | [
{
"dataset_slug": "archive-govt-nz-treasury",
"roles": [
"source-metadata",
"source-resource",
"derivative",
"validation-evidence"
],
"ckan_id_hint": "0641a23e-5741-45d6-bd4f-1b41fcabe381",
"hf_id_hint": "edithatogo/archive-govt-nz-treasury"
}
] | {
"collection_membership": {
"status": "blocked",
"reason": "collection membership still requires estate registry decision",
"evidence": [
"evidence/publication-metadata/hf-estate-observation.json",
"evidence/phase-8-hf-publication-verification.json"
]
},
"rights_and_access": {
"st... | [
"Confirm Hugging Face collection membership in estate registry",
"Resolve resource-level rights exceptions and update access posture"
] |
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:
2026-08-23T04:42:56.260711+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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