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Datasets:
edithatogo
/
hathitrust-nz-htrc-analytics

Languages:
English
Tags:
new-zealand
hathitrust
htrc
analytics
License:
Dataset card Files
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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, pipeline_version: string, collection_id: string, hf_collection: string, (... 114 chars omitted)
  child 0, generated_at: string
  child 1, pipeline_version: string
  child 2, collection_id: string
  child 3, hf_collection: string
  child 4, legacy_dataset_repo: string
  child 5, source_collection_id: string
  child 6, source_catalog_record_id: string
  child 7, record_count: int64
summary: struct<record_count: int64, rights_counts: struct<cc-zero: int64>, access_class_counts: struct<publi (... 113 chars omitted)
  child 0, record_count: int64
  child 1, rights_counts: struct<cc-zero: int64>
      child 0, cc-zero: int64
  child 2, access_class_counts: struct<public_full_text: int64>
      child 0, public_full_text: int64
  child 3, volume_number_parse: struct<parsed: int64, needs_enrichment: int64, min: int64, max: int64>
      child 0, parsed: int64
      child 1, needs_enrichment: int64
      child 2, min: int64
      child 3, max: int64
sources: list<item: struct<source_id: string, source_type: string, collection_id: string, catalog_record_id:  (... 128 chars omitted)
  child 0, item: struct<source_id: string, source_type: string, collection_id: string, catalog_record_id: string, rec (... 116 chars omitted)
      child 0, source_id: string
      child 1, source_type: string
      child 2, collection_id: string
      child 3, catalog_record_id: string
      child 4, record_count: int64
      child 5, public_full_text_rule: string
      child 6, license: string
      child 7, rsync_module: string
      child 8, public_archive_rule: string
child_datasets: list<item: struct<dataset_id: string, hf_repo_id: string, role: string, access_class: string, zenodo (... 17 chars omitted)
  child 0, item: struct<dataset_id: string, hf_repo_id: string, role: string, access_class: string, zenodo_stream: st (... 5 chars omitted)
      child 0, dataset_id: string
      child 1, hf_repo_id: string
      child 2, role: string
      child 3, access_class: string
      child 4, zenodo_stream: string
workflow_run: string
provenance_contract: string
zenodo_doi: string
source_commit: string
hf_repo: string
publication_policy: 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
              meta: struct<generated_at: string, pipeline_version: string, collection_id: string, hf_collection: string, (... 114 chars omitted)
                child 0, generated_at: string
                child 1, pipeline_version: string
                child 2, collection_id: string
                child 3, hf_collection: string
                child 4, legacy_dataset_repo: string
                child 5, source_collection_id: string
                child 6, source_catalog_record_id: string
                child 7, record_count: int64
              summary: struct<record_count: int64, rights_counts: struct<cc-zero: int64>, access_class_counts: struct<publi (... 113 chars omitted)
                child 0, record_count: int64
                child 1, rights_counts: struct<cc-zero: int64>
                    child 0, cc-zero: int64
                child 2, access_class_counts: struct<public_full_text: int64>
                    child 0, public_full_text: int64
                child 3, volume_number_parse: struct<parsed: int64, needs_enrichment: int64, min: int64, max: int64>
                    child 0, parsed: int64
                    child 1, needs_enrichment: int64
                    child 2, min: int64
                    child 3, max: int64
              sources: list<item: struct<source_id: string, source_type: string, collection_id: string, catalog_record_id:  (... 128 chars omitted)
                child 0, item: struct<source_id: string, source_type: string, collection_id: string, catalog_record_id: string, rec (... 116 chars omitted)
                    child 0, source_id: string
                    child 1, source_type: string
                    child 2, collection_id: string
                    child 3, catalog_record_id: string
                    child 4, record_count: int64
                    child 5, public_full_text_rule: string
                    child 6, license: string
                    child 7, rsync_module: string
                    child 8, public_archive_rule: string
              child_datasets: list<item: struct<dataset_id: string, hf_repo_id: string, role: string, access_class: string, zenodo (... 17 chars omitted)
                child 0, item: struct<dataset_id: string, hf_repo_id: string, role: string, access_class: string, zenodo_stream: st (... 5 chars omitted)
                    child 0, dataset_id: string
                    child 1, hf_repo_id: string
                    child 2, role: string
                    child 3, access_class: string
                    child 4, zenodo_stream: string
              workflow_run: string
              provenance_contract: string
              zenodo_doi: string
              source_commit: string
              hf_repo: string
              publication_policy: 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 HTRC Analytics Outputs

Registry status

Origin and provenance

  • Origin repository: https://github.com/edithatogo/hathi-nz
  • Upstream source: HTRC Analytics aggregate and non-consumptive workflows.
  • 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 aggregate_outputs_only. Where rights vary by record or source, downstream users must inspect the published provenance and rights fields.

Existing dataset documentation

Scripts, workset definitions, aggregate outputs, and reproducibility metadata for HTRC Analytics workflows related to HathiTrust-NZ, with explicit source policy and provenance separation from any restricted full-text routes.

For academic citation, use the Zenodo DOI 10.5281/zenodo.21322333.

Access

Public releases include scripts, manifests, aggregate results, and reproducibility metadata. Restricted full text or Data Capsule-only source material is not rehosted.

If a record is only available via interim Internet Archive overlap or metadata only, the analytics lane records that fact rather than promoting it to full text.

Source

  • HTRC Analytics
  • HTRC Workset Toolkit
  • HTRC Extracted Features 2.5

Route Evidence

  • Official HTRC source: workset definitions, aggregate outputs, and reproducibility metadata.
  • Metadata-only route: analytics outputs remain non-consumptive and omit restricted full text.
  • Blocked routes: Data Capsule-only source material and any restricted text payloads.
  • Interim overlap routes are recorded only as provenance, not as analyzable full text.

Publication Status

  • Hugging Face repo: edithatogo/hathitrust-nz-htrc-analytics
  • Zenodo stream: hathitrust-nz-htrc-analytics

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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