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edithatogo
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hathitrust-nz-research-fulltext

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Tags:
new-zealand
hathitrust
research-dataset
controlled-access
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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
hf_repo: string
publication_policy: string
provenance_contract: string
zenodo_doi: string
dataset_id: 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
              hf_repo: string
              publication_policy: string
              provenance_contract: string
              zenodo_doi: string
              dataset_id: 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

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HathiTrust-NZ Research Full-Text Plans and Eligible Outputs

Registry status

Origin and provenance

  • Origin repository: https://github.com/edithatogo/hathi-nz
  • Upstream source: HathiTrust Research Dataset and reviewed public-domain overlaps.
  • This card describes repository identity and relationships; it does not claim completeness beyond published manifests.

Rights boundary

Repository code, dataset compilation, and underlying source-record rights are separate. The registry currently records the rights state as rights_vary_by_volume. Where rights vary by record or source, downstream users must inspect the published provenance and rights fields.

Existing dataset documentation

Static-host acquisition plans and eligible staged outputs for HathiTrust Research Dataset full text related to HathiTrust-NZ, including interim Internet Archive overlap plans, provenance ledgers, checksum manifests, and manual review queues while static-host rsync access is pending.

For academic citation, use the Zenodo DOI 10.5281/zenodo.21322327.

Access

Public archives include metadata, manifests, HTID lists, checksums, and only full text that is explicitly confirmed rehostable. Hathi Research Dataset content requiring approval or Google distribution constraints remains excluded from public uploads unless permission for the exact publication target is documented.

Internet Archive overlap outputs are interim evidence, not a substitute for the official HathiTrust research acquisition route.

Source

  • HathiTrust Research Datasets
  • Static-IP rsync endpoint configured outside GitHub runners
  • Internet Archive public-domain overlap audit bundle

Route Evidence

  • Official HathiTrust source: approved research-dataset rsync staging only.
  • IA interim source: public-domain overlap evidence while the HathiTrust path is pending.
  • Metadata-only route: public archives carry manifests, HTID lists, and checksums unless redistribution is explicit.
  • Blocked routes: restricted research full text without approval, Google-restricted, and page-only material.

Publication Status

  • Hugging Face repo: edithatogo/hathitrust-nz-research-fulltext
  • Zenodo stream: hathitrust-nz-research-fulltext

Reconciliation policy

This repository is retained only while its recorded role is distinct from the canonical dataset. Renames, deletion, visibility changes, and replacement of immutable DOI snapshots require explicit human review.
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