The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
id: string
records: int64
preview_type: string
source_publisher: string
source_url: string
rights_evidence: list<item: string>
child 0, item: string
rights_status: string
limitations: list<item: string>
child 0, item: string
rights_basis: string
preview_status: string
document_title: string
asset_label: string
document_type: string
benchmark_tasks: list<item: string>
child 0, item: string
source_page: string
layout_challenges: list<item: string>
child 0, item: string
source_record_id: string
document_family: string
to
{'source_record_id': Value('string'), 'document_family': Value('string'), 'document_title': Value('string'), 'asset_label': Value('string'), 'document_type': Value('string'), 'layout_challenges': List(Value('string')), 'benchmark_tasks': List(Value('string')), 'source_publisher': Value('string'), 'source_page': Value('string'), 'rights_basis': Value('string'), 'preview_status': 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 483, 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
id: string
records: int64
preview_type: string
source_publisher: string
source_url: string
rights_evidence: list<item: string>
child 0, item: string
rights_status: string
limitations: list<item: string>
child 0, item: string
rights_basis: string
preview_status: string
document_title: string
asset_label: string
document_type: string
benchmark_tasks: list<item: string>
child 0, item: string
source_page: string
layout_challenges: list<item: string>
child 0, item: string
source_record_id: string
document_family: string
to
{'source_record_id': Value('string'), 'document_family': Value('string'), 'document_title': Value('string'), 'asset_label': Value('string'), 'document_type': Value('string'), 'layout_challenges': List(Value('string')), 'benchmark_tasks': List(Value('string')), 'source_publisher': Value('string'), 'source_page': Value('string'), 'rights_basis': Value('string'), 'preview_status': Value('string')}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Complex Public Document AI — Authentic Preview
NKO Data Labs · market-validation preview · target commercial release: 20k+ pages/documents
A small authentic public-domain document-intelligence preview built from difficult U.S. National Archives scans for OCR, layout understanding, transcription and multimodal retrieval evaluation.
Preview status
This repository contains a small authentic preview, not the planned commercial-scale corpus. The preview records reference high-resolution founding-document assets from the U.S. National Archives and preserve source/provenance plus explicit rights evidence.
Intended ML tasks
- OCR/layout robustness evaluation
- historical-script transcription
- structured extraction
- page/document classification
- multimodal retrieval and document QA
Provenance and rights
Primary source: https://www.archives.gov/founding-docs/downloads
The National Archives explicitly states on that page that the downloadable founding-document images are in the public domain and no permission is required to use them, while requesting credit to the National Archives as the original source.
Delivery target
Commercial release target: JSONL/Parquet metadata plus permitted page/document assets, schema, QA report, provenance manifest and evaluation splits.
Commercial access
Indicative commercial licensing starts at USD 2,500 for non-exclusive internal use; enterprise/model-training terms depend on scale and asset mix. Design partners can request a larger source-backed pilot.
Limitations
This first preview deliberately emphasizes difficult historical scans and does not yet represent the planned diversity of forms, tables and multi-column modern public documents. No claim is made that the target 20k+ commercial corpus is currently available.
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