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: CastError
Message: Couldn't cast
metadata: struct<title: string, upload_type: string, description: string, creators: list<item: struct<name: st (... 177 chars omitted)
child 0, title: string
child 1, upload_type: string
child 2, description: string
child 3, creators: list<item: struct<name: string, affiliation: string>>
child 0, item: struct<name: string, affiliation: string>
child 0, name: string
child 1, affiliation: string
child 4, keywords: list<item: string>
child 0, item: string
child 5, license: string
child 6, related_identifiers: list<item: struct<relation: string, identifier: string, resource_type: string>>
child 0, item: struct<relation: string, identifier: string, resource_type: string>
child 0, relation: string
child 1, identifier: string
child 2, resource_type: string
deposit_id: int64
to
{'deposit_id': Value('int64')}
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 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 2306, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
metadata: struct<title: string, upload_type: string, description: string, creators: list<item: struct<name: st (... 177 chars omitted)
child 0, title: string
child 1, upload_type: string
child 2, description: string
child 3, creators: list<item: struct<name: string, affiliation: string>>
child 0, item: struct<name: string, affiliation: string>
child 0, name: string
child 1, affiliation: string
child 4, keywords: list<item: string>
child 0, item: string
child 5, license: string
child 6, related_identifiers: list<item: struct<relation: string, identifier: string, resource_type: string>>
child 0, item: struct<relation: string, identifier: string, resource_type: string>
child 0, relation: string
child 1, identifier: string
child 2, resource_type: string
deposit_id: int64
to
{'deposit_id': Value('int64')}
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.
ZYQL — Trivalent-Decision Quantum Language · Release Artifacts
Artifact release of ZYQL/ZEPHIRUM (SerenaSolutions): formal EBNF grammar (ISO/IEC 14977) with operational semantics, exact-decision kernel with independent verifier, pre-registered experimental campaigns on IBM Quantum hardware (ibm_fez), raw hardware counts, and maturity-labeled reports.
- DOI (published record): https://doi.org/10.5281/zenodo.23330695
- Repository: https://github.com/SerenaSolutions/zephirum
- Live demo: https://reginaldo5-zyql.static.hf.space
- Author: Reginaldo Pinezi Uhlmann (ORCID 0009-0005-3212-5179)
Contents
zyql_artifacts_v1.zip— the DOI-published artifact package (immutable, as deposited 2026-10-13)ZYQL_preprint_v1.pdf— preprint as deposited with v1.0main.tex— preprint source, author harmonized to the official identity (2026-10-14; the Zenodo v1.0 record still lists "Dos Anjos, Ravi" — next version will carry the corrected authorship)arxiv_submission.tar.gz— arXiv-ready package (rebuilt with the harmonized author)zenodo_metadata.json,deposit_id.json— deposit recordsmain_v1.1.tex,arxiv_submission_v1.1.tar.gz— submission candidate v1.1 (bibliography added; limitations updated: ML-DSA-44/FIPS 204 implemented 2026-10-14)arxiv_checklist.md— exact arXiv form values for submission
Citation
Reginaldo Pinezi Uhlmann. ZYQL: A Trivalent-Decision Quantum Language with Pre-Registered, Signed Evidence Receipts (v1.0). Zenodo, 2026. DOI 10.5281/zenodo.23330695.
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