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
issue_id: int64
title: string
status: string
policy_ref: string
registry_ref: string
affected: list<item: struct<asset_id: string, hub_repo_id: string, current_license: string, required_license: (... 8 chars omitted)
child 0, item: struct<asset_id: string, hub_repo_id: string, current_license: string, required_license: string>
child 0, asset_id: string
child 1, hub_repo_id: string
child 2, current_license: string
child 3, required_license: string
comments: list<item: struct<author: string, date: timestamp[s], body: string>>
child 0, item: struct<author: string, date: timestamp[s], body: string>
child 0, author: string
child 1, date: timestamp[s]
child 2, body: string
assets: list<item: struct<asset_id: string, title: string, hub_repo_id: string, language: string, size_categ (... 68 chars omitted)
child 0, item: struct<asset_id: string, title: string, hub_repo_id: string, language: string, size_categories: stri (... 56 chars omitted)
child 0, asset_id: string
child 1, title: string
child 2, hub_repo_id: string
child 3, language: string
child 4, size_categories: string
child 5, license_required: string
child 6, compliance_status: string
schema_version: string
to
{'schema_version': Value('string'), 'policy_ref': Value('string'), 'assets': List({'asset_id': Value('string'), 'title': Value('string'), 'hub_repo_id': Value('string'), 'language': Value('string'), 'size_categories': Value('string'), 'license_required': Value('string'), 'compliance_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
issue_id: int64
title: string
status: string
policy_ref: string
registry_ref: string
affected: list<item: struct<asset_id: string, hub_repo_id: string, current_license: string, required_license: (... 8 chars omitted)
child 0, item: struct<asset_id: string, hub_repo_id: string, current_license: string, required_license: string>
child 0, asset_id: string
child 1, hub_repo_id: string
child 2, current_license: string
child 3, required_license: string
comments: list<item: struct<author: string, date: timestamp[s], body: string>>
child 0, item: struct<author: string, date: timestamp[s], body: string>
child 0, author: string
child 1, date: timestamp[s]
child 2, body: string
assets: list<item: struct<asset_id: string, title: string, hub_repo_id: string, language: string, size_categ (... 68 chars omitted)
child 0, item: struct<asset_id: string, title: string, hub_repo_id: string, language: string, size_categories: stri (... 56 chars omitted)
child 0, asset_id: string
child 1, title: string
child 2, hub_repo_id: string
child 3, language: string
child 4, size_categories: string
child 5, license_required: string
child 6, compliance_status: string
schema_version: string
to
{'schema_version': Value('string'), 'policy_ref': Value('string'), 'assets': List({'asset_id': Value('string'), 'title': Value('string'), 'hub_repo_id': Value('string'), 'language': Value('string'), 'size_categories': Value('string'), 'license_required': Value('string'), 'compliance_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:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Data Asset Registry
This dataset repository is the governance hub for the data platform's published open datasets. Every dataset published by the platform is hosted as a dataset repository on the publishing platform and must be registered in catalog/assets.json together with the license it is released under.
Files
catalog/assets.json- the asset registry (source of truth for required licenses).docs/publishing-policy.md- the metadata rules every dataset card must follow.issues/compliance.json- the open compliance issue listing affected datasets.
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