Dataset Viewer
Duplicate
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
author: string
ORCID: string
github_commit: string
github_branch: string
main_unchanged: bool
source_archive_sha256: string
CI: struct<id: int64, name: string, head_sha: string, status: string, conclusion: string, html_url: stri (... 22 chars omitted)
  child 0, id: int64
  child 1, name: string
  child 2, head_sha: string
  child 3, status: string
  child 4, conclusion: string
  child 5, html_url: string
  child 6, run_number: int64
independent_review_closed: bool
cloud_qualified: bool
official_entry: bool
no_private_data_or_credentials: bool
README.md: string
VALIDATION.json: string
LICENSE: string
codegeist-forge-r01-local-source-20261110.zip: string
LICENSE_SCOPE.md: string
PROVENANCE.json: string
to
{'codegeist-forge-r01-local-source-20261110.zip': Value('string'), 'LICENSE': Value('string'), 'LICENSE_SCOPE.md': Value('string'), 'PROVENANCE.json': Value('string'), 'README.md': Value('string'), 'VALIDATION.json': Value('string')}
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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              author: string
              ORCID: string
              github_commit: string
              github_branch: string
              main_unchanged: bool
              source_archive_sha256: string
              CI: struct<id: int64, name: string, head_sha: string, status: string, conclusion: string, html_url: stri (... 22 chars omitted)
                child 0, id: int64
                child 1, name: string
                child 2, head_sha: string
                child 3, status: string
                child 4, conclusion: string
                child 5, html_url: string
                child 6, run_number: int64
              independent_review_closed: bool
              cloud_qualified: bool
              official_entry: bool
              no_private_data_or_credentials: bool
              README.md: string
              VALIDATION.json: string
              LICENSE: string
              codegeist-forge-r01-local-source-20261110.zip: string
              LICENSE_SCOPE.md: string
              PROVENANCE.json: string
              to
              {'codegeist-forge-r01-local-source-20261110.zip': Value('string'), 'LICENSE': Value('string'), 'LICENSE_SCOPE.md': Value('string'), 'PROVENANCE.json': Value('string'), 'README.md': Value('string'), 'VALIDATION.json': Value('string')}
              because column names don't match

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.

Decision Drift Sentinel: local Forge candidate

This archive backs up original source code and fictional workflow tests. It is not a deployed Forge application, a cloud-qualified product or an official Codegeist entry. The registered app ID, site, judge installation link and working public demo remain pending owner access and real platform validation.

The reviewed source adds a Jira issue panel, a Confluence source card, versioned quoted evidence and permission-checked comparison against the current source. The prepared modal_v2 comparator is preserved and identified as historically exploratory; no new F1 or independent-cohort result is claimed.

Local20workflow/protocol checks, TypeScript and real SDK entry-point bundles passed. A clean LinuxNode24CI run also passed; this confirms local build/test reproduction and does not replace actual Forge installation or permission tests. The dated10November2026fullnpm audit reported0advisories with the pinned patch lock. Actual Forge lint stopped at the login requirement and has not passed.

Two independent-review findings were executed and corrected before this release: atomic create preserves the first record under concurrent retries, and the documentation now identifies the implemented modal_v2 rule accurately.

Source archive: codegeist-forge-r01-local-source-20261110.zip. It contains22app source/config/document files plus CI and a hash manifest. No installed packages, private source documents, real tenants/issues, credentials, old mixed regulation benchmark or generated figures are included. Reproduce the standalone app checks from its forge/ directory after npm ci.

The parent's prior source, figures, metrics and documentation byte prefixes are preserved. Its main branch remains unchanged; this backup refers to the explicit local-candidate branch. Code is MIT with retained author lineage. Upstream SDK packages retain their own rights: license scope.

Exact GitHub source · Successful local-only CI.

Author background

Francisco Angulo de Lafuente, independent AI researcher · ORCID · arXiv · Google Scholar · ResearchGate · Figshare · Wikipedia

Earlier research at ECOFA focused on biotechnology for clean energy and on second-generation biofuels obtained by microbiological processing of organic waste. Two Spanish patents document that work:

  • ES 2273594 B1, Process for obtaining fuels from organic waste. Filed 5 September 2005, grant published 16 February 2008. OEPM · Google Patents
  • ES 2341194 B1, Method for obtaining paraffin by a biological process with microorganisms from organic matter, and its refining for use as fuel. Filed 11 September 2007, grant published 26 April 2011. Also published as EP2196519 and WO2009034217. OEPM · Google Patents

These are historical publication and grant records under the inventor name Francisco Angulo Lafuente, and both have since lapsed. They are cited as evidence of a research trajectory and make no statement about current enforceability.

Downloads last month
77