Dataset Viewer
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: TypeError
Message: Couldn't cast array of type
struct<patent_families: list<item: struct<family_name: string, members: list<item: string>>>, priority_records: list<item: struct<priority_date: timestamp[s], priority_territory: string>>, territorial_coverage: list<item: string>>
to
{'claims_summary': List(Value('string')), 'legal_status_records': List({'patent_reference': Value('string'), 'legal_status': Value('string'), 'effective_date': Value('timestamp[s]')})}
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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<patent_families: list<item: struct<family_name: string, members: list<item: string>>>, priority_records: list<item: struct<priority_date: timestamp[s], priority_territory: string>>, territorial_coverage: list<item: string>>
to
{'claims_summary': List(Value('string')), 'legal_status_records': List({'patent_reference': Value('string'), 'legal_status': Value('string'), 'effective_date': Value('timestamp[s]')})}Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Patent Portfolio Records Question Answering Dataset
This dataset provides closed-domain question-answering examples grounded in patent applications, granted patent texts, and portfolio records, with expert answers and supporting documentary evidence. Its topics include patent families, priority claims, claims, legal status, and geographic coverage; structured portfolio facts and scope notes help trace answer support and identify information that is absent or cannot be confirmed from the documents. It is designed for domain-specific fine-tuning, closed-document QA evaluation, and queries about portfolio composition and recorded facts.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| answer | string | An accurate, clear answer to the user question, limited to facts recorded in the source documents. |
| evidence | array | Source document references, supporting excerpts, and the corresponding fact categories. |
| question | string | A patent portfolio management question that must be answered using the supplied source documents. |
| scope_note | string | A note describing the document scope behind the answer, missing information, or matters that cannot be confirmed from the available documents. Omit when no note is needed. |
| portfolio_facts | object | Patent portfolio facts derived from the source documents. Include only information explicitly supported by the documents; omit anything that cannot be confirmed. |
| source_documents | array | Patent application texts, granted patent texts, or portfolio records used to support the answer. Each record corresponds to one document. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Source & Contact
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