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
registry_version: string
generated_at: timestamp[s]
verification: struct<verified_against: list<item: string>, publication_health_score: int64, publication_health_bas (... 51 chars omitted)
child 0, verified_against: list<item: string>
child 0, item: string
child 1, publication_health_score: int64
child 2, publication_health_basis: string
child 3, content_completeness_is_separate: bool
collection: struct<collection_id: string, hf_collection: string, hf_collection_url: string, source_collection_id (... 220 chars omitted)
child 0, collection_id: string
child 1, hf_collection: string
child 2, hf_collection_url: string
child 3, source_collection_id: string
child 4, source_catalog_record_id: string
child 5, curated_seed_record_count: int64
child 6, rights_counts: struct<cc-zero: int64>
child 0, cc-zero: int64
child 7, enumeration_complete: bool
child 8, full_text_rehost_status: string
child 9, official_hathi_static_host_status: string
datasets: list<item: struct<dataset_id: string, role: string, access_class: string, hf_repo: string, hf_url: s (... 144 chars omitted)
child 0, item: struct<dataset_id: string, role: string, access_class: string, hf_repo: string, hf_url: string, zeno (... 132 chars omitted)
child 0, dataset_id: string
child 1, role: string
child 2, access_class: string
child 3, hf_repo: string
child 4, hf_url: string
child 5, zenodo_doi: string
child 6, zenodo_url: string
child 7, zenodo_access: string
child 8, zenodo_version: string
child 9, zenodo_file_count: int64
child 10, content_status: string
source_commit: string
workflow_run: string
dataset_id: string
zenodo_doi: string
hf_repo: string
provenance_contract: string
publication_policy: string
to
{'dataset_id': Value('string'), 'hf_repo': Value('string'), 'zenodo_doi': Value('string'), 'source_commit': Value('string'), 'workflow_run': Value('string'), 'provenance_contract': Value('string'), 'publication_policy': Value('string')}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
registry_version: string
generated_at: timestamp[s]
verification: struct<verified_against: list<item: string>, publication_health_score: int64, publication_health_bas (... 51 chars omitted)
child 0, verified_against: list<item: string>
child 0, item: string
child 1, publication_health_score: int64
child 2, publication_health_basis: string
child 3, content_completeness_is_separate: bool
collection: struct<collection_id: string, hf_collection: string, hf_collection_url: string, source_collection_id (... 220 chars omitted)
child 0, collection_id: string
child 1, hf_collection: string
child 2, hf_collection_url: string
child 3, source_collection_id: string
child 4, source_catalog_record_id: string
child 5, curated_seed_record_count: int64
child 6, rights_counts: struct<cc-zero: int64>
child 0, cc-zero: int64
child 7, enumeration_complete: bool
child 8, full_text_rehost_status: string
child 9, official_hathi_static_host_status: string
datasets: list<item: struct<dataset_id: string, role: string, access_class: string, hf_repo: string, hf_url: s (... 144 chars omitted)
child 0, item: struct<dataset_id: string, role: string, access_class: string, hf_repo: string, hf_url: string, zeno (... 132 chars omitted)
child 0, dataset_id: string
child 1, role: string
child 2, access_class: string
child 3, hf_repo: string
child 4, hf_url: string
child 5, zenodo_doi: string
child 6, zenodo_url: string
child 7, zenodo_access: string
child 8, zenodo_version: string
child 9, zenodo_file_count: int64
child 10, content_status: string
source_commit: string
workflow_run: string
dataset_id: string
zenodo_doi: string
hf_repo: string
provenance_contract: string
publication_policy: string
to
{'dataset_id': Value('string'), 'hf_repo': Value('string'), 'zenodo_doi': Value('string'), 'source_commit': Value('string'), 'workflow_run': Value('string'), 'provenance_contract': Value('string'), 'publication_policy': 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.