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<generated_at: string, source_dataset_name: string, source_url: string, record_count: int64, m (... 160 chars omitted)
  child 0, generated_at: string
  child 1, source_dataset_name: string
  child 2, source_url: string
  child 3, record_count: int64
  child 4, matched_count: int64
  child 5, unmatched_count: int64
  child 6, review_queue_count: int64
  child 7, checksum_count: int64
  child 8, dry_run: bool
  child 9, hf_dataset_repo: string
  child 10, acquisition_mode: string
matched: list<item: null>
  child 0, item: null
unmatched: list<item: struct<htid: string, title: string, author: string, search_query: string, error: string,  (... 997 chars omitted)
  child 0, item: struct<htid: string, title: string, author: string, search_query: string, error: string, crosswalk:  (... 985 chars omitted)
      child 0, htid: string
      child 1, title: string
      child 2, author: string
      child 3, search_query: string
      child 4, error: string
      child 5, crosswalk: struct<htid: string, title: string, author: string, year: string, oclc: string, catalog_url: string, (... 884 chars omitted)
          child 0, htid: string
          child 1, title: string
          child 2, author: string
          child 3, year: string
          child 4, oclc: string
          child 5, catalog_url: string
          child 6, internet_archive_query: string
          child 7, open_library_query: string
          child 8, internet_archive_search_url: string
          child 9, ope
...
 zenodo: string>
                      child 0, hugging_face: string
                      child 1, zenodo: string
                  child 6, source_priority: int64
              child 1, open_library: struct<display_name: string, source_url: string, permitted_artifacts: list<item: string>, access_cla (... 140 chars omitted)
                  child 0, display_name: string
                  child 1, source_url: string
                  child 2, permitted_artifacts: list<item: string>
                      child 0, item: string
                  child 3, access_class: string
                  child 4, default_acquisition_mode: string
                  child 5, publication_eligibility: struct<hugging_face: string, zenodo: string>
                      child 0, hugging_face: string
                      child 1, zenodo: string
                  child 6, source_priority: int64
          child 13, publication_eligibility: struct<internet_archive: struct<hugging_face: string, zenodo: string>, open_library: struct<hugging_ (... 30 chars omitted)
              child 0, internet_archive: struct<hugging_face: string, zenodo: string>
                  child 0, hugging_face: string
                  child 1, zenodo: string
              child 1, open_library: struct<hugging_face: string, zenodo: string>
                  child 0, hugging_face: string
                  child 1, zenodo: string
review_queue: list<item: null>
  child 0, item: null
files: list<item: null>
  child 0, item: null
to
{'files': List(Value('null'))}
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 478, 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
              meta: struct<generated_at: string, source_dataset_name: string, source_url: string, record_count: int64, m (... 160 chars omitted)
                child 0, generated_at: string
                child 1, source_dataset_name: string
                child 2, source_url: string
                child 3, record_count: int64
                child 4, matched_count: int64
                child 5, unmatched_count: int64
                child 6, review_queue_count: int64
                child 7, checksum_count: int64
                child 8, dry_run: bool
                child 9, hf_dataset_repo: string
                child 10, acquisition_mode: string
              matched: list<item: null>
                child 0, item: null
              unmatched: list<item: struct<htid: string, title: string, author: string, search_query: string, error: string,  (... 997 chars omitted)
                child 0, item: struct<htid: string, title: string, author: string, search_query: string, error: string, crosswalk:  (... 985 chars omitted)
                    child 0, htid: string
                    child 1, title: string
                    child 2, author: string
                    child 3, search_query: string
                    child 4, error: string
                    child 5, crosswalk: struct<htid: string, title: string, author: string, year: string, oclc: string, catalog_url: string, (... 884 chars omitted)
                        child 0, htid: string
                        child 1, title: string
                        child 2, author: string
                        child 3, year: string
                        child 4, oclc: string
                        child 5, catalog_url: string
                        child 6, internet_archive_query: string
                        child 7, open_library_query: string
                        child 8, internet_archive_search_url: string
                        child 9, ope
              ...
               zenodo: string>
                                    child 0, hugging_face: string
                                    child 1, zenodo: string
                                child 6, source_priority: int64
                            child 1, open_library: struct<display_name: string, source_url: string, permitted_artifacts: list<item: string>, access_cla (... 140 chars omitted)
                                child 0, display_name: string
                                child 1, source_url: string
                                child 2, permitted_artifacts: list<item: string>
                                    child 0, item: string
                                child 3, access_class: string
                                child 4, default_acquisition_mode: string
                                child 5, publication_eligibility: struct<hugging_face: string, zenodo: string>
                                    child 0, hugging_face: string
                                    child 1, zenodo: string
                                child 6, source_priority: int64
                        child 13, publication_eligibility: struct<internet_archive: struct<hugging_face: string, zenodo: string>, open_library: struct<hugging_ (... 30 chars omitted)
                            child 0, internet_archive: struct<hugging_face: string, zenodo: string>
                                child 0, hugging_face: string
                                child 1, zenodo: string
                            child 1, open_library: struct<hugging_face: string, zenodo: string>
                                child 0, hugging_face: string
                                child 1, zenodo: string
              review_queue: list<item: null>
                child 0, item: null
              files: list<item: null>
                child 0, item: null
              to
              {'files': List(Value('null'))}
              because column names don't match

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