Datasets:

---

edithatogo

/

hathitrust-nz-inventory

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
meta: struct<generated_at: string, source_dataset_name: string, source_url: string, rsync_module: string,  (... 103 chars omitted)
  child 0, generated_at: string
  child 1, source_dataset_name: string
  child 2, source_url: string
  child 3, rsync_module: string
  child 4, record_count: int64
  child 5, limited: bool
  child 6, license: string
  child 7, hf_dataset_repo: string
  child 8, acquisition_mode: string
files: list<item: struct<htid: string, rsync_path: string>>
  child 0, item: struct<htid: string, rsync_path: string>
      child 0, htid: string
      child 1, rsync_path: string
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
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
to
{'meta': {'generated_at': Value('string'), 'pipeline_version': Value('string'), 'collection_id': Value('string'), 'hf_collection': Value('string'), 'legacy_dataset_repo': Value('string'), 'source_collection_id': Value('string'), 'source_catalog_record_id': Value('string'), 'record_count': Value('int64')}, 'summary': {'record_count': Value('int64'), 'rights_counts': {'cc-zero': Value('int64')}, 'access_class_counts': {'public_full_text': Value('int64')}, 'volume_number_parse': {'parsed': Value('int64'), 'needs_enrichment': Value('int64'), 'min': Value('int64'), 'max': Value('int64')}}, 'sources': List({'source_id': Value('string'), 'source_type': Value('string'), 'collection_id': Value('string'), 'catalog_record_id': Value('string'), 'record_count': Value('int64'), 'public_full_text_rule': Value('string'), 'license': Value('string'), 'rsync_module': Value('string'), 'public_archive_rule': Value('string')}), 'child_datasets': List({'dataset_id': Value('string'), 'hf_repo_id': Value('string'), 'role': Value('string'), 'access_class': Value('string'), 'zenodo_stream': 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 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, rsync_module: string,  (... 103 chars omitted)
                child 0, generated_at: string
                child 1, source_dataset_name: string
                child 2, source_url: string
                child 3, rsync_module: string
                child 4, record_count: int64
                child 5, limited: bool
                child 6, license: string
                child 7, hf_dataset_repo: string
                child 8, acquisition_mode: string
              files: list<item: struct<htid: string, rsync_path: string>>
                child 0, item: struct<htid: string, rsync_path: string>
                    child 0, htid: string
                    child 1, rsync_path: string
              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
              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
              to
              {'meta': {'generated_at': Value('string'), 'pipeline_version': Value('string'), 'collection_id': Value('string'), 'hf_collection': Value('string'), 'legacy_dataset_repo': Value('string'), 'source_collection_id': Value('string'), 'source_catalog_record_id': Value('string'), 'record_count': Value('int64')}, 'summary': {'record_count': Value('int64'), 'rights_counts': {'cc-zero': Value('int64')}, 'access_class_counts': {'public_full_text': Value('int64')}, 'volume_number_parse': {'parsed': Value('int64'), 'needs_enrichment': Value('int64'), 'min': Value('int64'), 'max': Value('int64')}}, 'sources': List({'source_id': Value('string'), 'source_type': Value('string'), 'collection_id': Value('string'), 'catalog_record_id': Value('string'), 'record_count': Value('int64'), 'public_full_text_rule': Value('string'), 'license': Value('string'), 'rsync_module': Value('string'), 'public_archive_rule': Value('string')}), 'child_datasets': List({'dataset_id': Value('string'), 'hf_repo_id': Value('string'), 'role': Value('string'), 'access_class': Value('string'), 'zenodo_stream': Value('string')})}
              because column names don't match