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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
scope: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
  child 0, item: struct<path: string, sha256: string, bytes: int64>
      child 0, path: string
      child 1, sha256: string
      child 2, bytes: int64
source/CLOSED_TEST_RESULTS.json: string
schema.json: string
load_data.py: string
source/INDEPENDENT_REPEAT_RESULTS.json: string
data.jsonl: string
README.md: string
to
{'README.md': Value('string'), 'data.jsonl': Value('string'), 'load_data.py': Value('string'), 'schema.json': Value('string'), 'source/CLOSED_TEST_RESULTS.json': Value('string'), 'source/INDEPENDENT_REPEAT_RESULTS.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
              scope: string
              files: list<item: struct<path: string, sha256: string, bytes: int64>>
                child 0, item: struct<path: string, sha256: string, bytes: int64>
                    child 0, path: string
                    child 1, sha256: string
                    child 2, bytes: int64
              source/CLOSED_TEST_RESULTS.json: string
              schema.json: string
              load_data.py: string
              source/INDEPENDENT_REPEAT_RESULTS.json: string
              data.jsonl: string
              README.md: string
              to
              {'README.md': Value('string'), 'data.jsonl': Value('string'), 'load_data.py': Value('string'), 'schema.json': Value('string'), 'source/CLOSED_TEST_RESULTS.json': Value('string'), 'source/INDEPENDENT_REPEAT_RESULTS.json': Value('string')}
              because column names don't match

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D02-neurobrain-closed-repeat

Aggregate evaluation rows only; protected raw inputs, hidden states and seed vault are excluded. These results cannot be reused as an unseen test bank.

Files and use

data.jsonl contains 1044 source-derived records. schema.json documents observed fields and nested types. python load_data.py validates loading and prints the record count. The standard-library load_records() returns records without pickle or executable dataset scripts.

Provenance and splitting

Source: NeuroBrain FINAL V7 / OMEGA R2-R3, October 2026. Each source file is preserved where listed in MANIFEST.json. Schema translation in CP05 is not a new experiment. Fields labelled closed/repeat remain already evaluated evidence, not new holdouts. Protected original inputs, service credentials and secret seed material are excluded from this data release candidate.

Rights and limitations

Private release preparation only. No new license is granted; public redistribution requires the source owner's decision. No patient-level data are included. A dataset row, model/task score, observer or runtime parcel is not an independent biological subject. Claims of efficacy, consciousness or universal physics are not supported.

Verified packaging revision — 2026-10-20

Original local loader passed; card YAML parsed. Hugging Face datasets library/server not exercised.

Runtime state: PASS. Rights and release approval are separate. See RELEASE_VERIFICATION.json. No paper or conference submission is included as a new software result.

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