Datasets:

edithatogo
/

nlp-policy-nz-cloud-ocr-pilots

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
command: string
max_cost_usd: double
payload_policy: string
plan: struct<budget: struct<max_concurrency: int64, max_cost_usd: double, max_retries: int64>, collection_ (... 753 chars omitted)
  child 0, budget: struct<max_concurrency: int64, max_cost_usd: double, max_retries: int64>
      child 0, max_concurrency: int64
      child 1, max_cost_usd: double
      child 2, max_retries: int64
  child 1, collection_id: string
  child 2, ledger: list<item: struct<attempts: int64, content_address: string, error_code: null, item_id: string, outpu (... 49 chars omitted)
      child 0, item: struct<attempts: int64, content_address: string, error_code: null, item_id: string, output_digest: n (... 37 chars omitted)
          child 0, attempts: int64
          child 1, content_address: string
          child 2, error_code: null
          child 3, item_id: string
          child 4, output_digest: null
          child 5, shard_id: string
          child 6, state: string
  child 3, pipeline_version: string
  child 4, provenance: struct<orchestrator: string, payload_policy: string>
      child 0, orchestrator: string
      child 1, payload_policy: string
  child 5, quarantined_item_ids: list<item: null>
      child 0, item: null
  child 6, run_id: string
  child 7, schema_version: string
  child 8, work_manifest: struct<collection_id: string, items: list<item: struct<acquisition_mode: string, content_address: st (... 294 chars omitted)
      child 0, collection_id: string
      child 1, items: list<item: struct<acquisition_mode: string, content_address: string, content_allowed: bool, dataset_ (... 112 chars omitted)
          child 0, item: struct<acquisition_mode: string, content_address: string, content_allowed: bool, dataset_id: string, (... 100 chars omitted)
              child 0, acquisition_mode: string
              child 1, content_address: string
              child 2, content_allowed: bool
              child 3, dataset_id: string
              child 4, htid: string
              child 5, item_id: string
              child 6, publication_decision: string
              child 7, source_id: string
              child 8, source_url: string
      child 2, pipeline_version: string
      child 3, producer: string
      child 4, schema_version: string
      child 5, shards: list<item: struct<item_ids: list<item: string>, shard_id: string>>
          child 0, item: struct<item_ids: list<item: string>, shard_id: string>
              child 0, item_ids: list<item: string>
                  child 0, item: string
              child 1, shard_id: string
schema_version: string
shard_size: int64
status: string
volume_limit: int64
collection_id: string
run_id: string
published_items: int64
to
{'collection_id': Value('string'), 'command': Value('string'), 'max_cost_usd': Value('float64'), 'payload_policy': Value('string'), 'published_items': Value('int64'), 'run_id': Value('string'), 'schema_version': Value('string'), 'shard_size': Value('int64'), 'status': Value('string'), 'volume_limit': Value('int64')}
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
              command: string
              max_cost_usd: double
              payload_policy: string
              plan: struct<budget: struct<max_concurrency: int64, max_cost_usd: double, max_retries: int64>, collection_ (... 753 chars omitted)
                child 0, budget: struct<max_concurrency: int64, max_cost_usd: double, max_retries: int64>
                    child 0, max_concurrency: int64
                    child 1, max_cost_usd: double
                    child 2, max_retries: int64
                child 1, collection_id: string
                child 2, ledger: list<item: struct<attempts: int64, content_address: string, error_code: null, item_id: string, outpu (... 49 chars omitted)
                    child 0, item: struct<attempts: int64, content_address: string, error_code: null, item_id: string, output_digest: n (... 37 chars omitted)
                        child 0, attempts: int64
                        child 1, content_address: string
                        child 2, error_code: null
                        child 3, item_id: string
                        child 4, output_digest: null
                        child 5, shard_id: string
                        child 6, state: string
                child 3, pipeline_version: string
                child 4, provenance: struct<orchestrator: string, payload_policy: string>
                    child 0, orchestrator: string
                    child 1, payload_policy: string
                child 5, quarantined_item_ids: list<item: null>
                    child 0, item: null
                child 6, run_id: string
                child 7, schema_version: string
                child 8, work_manifest: struct<collection_id: string, items: list<item: struct<acquisition_mode: string, content_address: st (... 294 chars omitted)
                    child 0, collection_id: string
                    child 1, items: list<item: struct<acquisition_mode: string, content_address: string, content_allowed: bool, dataset_ (... 112 chars omitted)
                        child 0, item: struct<acquisition_mode: string, content_address: string, content_allowed: bool, dataset_id: string, (... 100 chars omitted)
                            child 0, acquisition_mode: string
                            child 1, content_address: string
                            child 2, content_allowed: bool
                            child 3, dataset_id: string
                            child 4, htid: string
                            child 5, item_id: string
                            child 6, publication_decision: string
                            child 7, source_id: string
                            child 8, source_url: string
                    child 2, pipeline_version: string
                    child 3, producer: string
                    child 4, schema_version: string
                    child 5, shards: list<item: struct<item_ids: list<item: string>, shard_id: string>>
                        child 0, item: struct<item_ids: list<item: string>, shard_id: string>
                            child 0, item_ids: list<item: string>
                                child 0, item: string
                            child 1, shard_id: string
              schema_version: string
              shard_size: int64
              status: string
              volume_limit: int64
              collection_id: string
              run_id: string
              published_items: int64
              to
              {'collection_id': Value('string'), 'command': Value('string'), 'max_cost_usd': Value('float64'), 'payload_policy': Value('string'), 'published_items': Value('int64'), 'run_id': Value('string'), 'schema_version': Value('string'), 'shard_size': Value('int64'), 'status': Value('string'), 'volume_limit': Value('int64')}
              because column names don't match

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NLP Policy NZ Cloud OCR Pilot Evidence

This dataset contains metadata-only run reports from a bounded OCR pilot. It is evidence for pipeline operations and benchmarking, not a full OCR corpus.

Scope

Run: track91-zero-cost-hf-20260715
Collection: cloud-ocr-baseline
Payload policy: metadata_only
Published items: 1
Full-text publication: not claimed
Maximum configured volume: 3 items

The reports include run identifiers, source references, content digests, publication decisions, and ledger counts. They do not contain a general corpus of source images or OCR text.

Provenance and rights

The pilot source is the pinned Tesseract documentation phototest example at https://raw.githubusercontent.com/tesseract-ocr/tessdoc/a8bf3c9241fe8241f7d13a796f9902c6f0a98087/examples/phototest.tif. Users must follow the source repository's applicable licence and attribution terms. Repository-owner rights approval is recorded in the companion registry evidence; this card does not assert provider acceptance or a DOI.

Intended use

Use these files to inspect bounded OCR orchestration, reconciliation, and provenance. They are not a validated production OCR benchmark or legal advice.

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