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Cannot extract the features (columns) for the split 'validation' of the config 'default' of the dataset.
Error code:   FeaturesError
Exception:    ArrowInvalid
Message:      JSON parse error: Invalid value. in row 0
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 324, in _generate_tables
                  df = pandas_read_json(f)
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 38, in pandas_read_json
                  return pd.read_json(path_or_buf, **kwargs)
                         ~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 815, in read_json
                  return json_reader.read()
                         ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1014, in read
                  obj = self._get_object_parser(self.data)
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1040, in _get_object_parser
                  obj = FrameParser(json, **kwargs).parse()
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1176, in parse
                  self._parse()
                  ~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/pandas/io/json/_json.py", line 1392, in _parse
                  ujson_loads(json, precise_float=self.precise_float), dtype=None
                  ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
              ValueError: Expected object or value
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/split/first_rows.py", line 244, in compute_first_rows_from_streaming_response
                  iterable_dataset = iterable_dataset._resolve_features()
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 4523, in _resolve_features
                  features = _infer_features_from_batch(self.with_format(None)._head())
                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2768, in _head
                  return next(iter(self.iter(batch_size=n)))
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2972, in iter
                  for key, pa_table in ex_iterable.iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2483, in _iter_arrow
                  yield from 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 327, in _generate_tables
                  raise e
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 290, in _generate_tables
                  pa_table = paj.read_json(
                      io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                  )
                File "pyarrow/_json.pyx", line 364, in pyarrow._json.read_json
                File "pyarrow/error.pxi", line 155, in pyarrow.lib.pyarrow_internal_check_status
                  return check_status(status)
                File "pyarrow/error.pxi", line 92, in pyarrow.lib.check_status
                  raise convert_status(status)
              pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0

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Yuseon84 OSC pair-estimator validation

assumptions

Personal independent computation by Yuseon84 with Codex assistance. This repository preserves the reviewed numerical evidence ZIP unchanged. It is a reproducibility/observable-definition reference, not an official score submission or verified superconductor discovery.

The package uses historical fixed solver sectors: CHf2 (OSC-01938), 6x6 Ne26; CuBr2 (OSC-01613), 6x6 Ne30; PBC, U/t=8. Current band-filling/material mapping must be independently resolved; see the separate filling-convention discussion #15 and proposed pipeline correction #18. Their discussion does not retrospectively change the frozen evidence or constitute organizer endorsement.

options

Use CPU replay for integrity/full-statistics verification, or GPU replay to additionally check full pair sums on saved configurations. Instructions and exact dependency requirements are in README_v1.md inside the ZIP.

recommendation

Download Yuseon84_OSC_method_validation_v1.zip, extract it, and run the extracted launcher in an existing compatible environment:

python -B -X utf8 verify_bundle.py --root .
python -B -X utf8 verify_bundle.py --root . --gpu

ZIP SHA256: 1d8eb710eaf321894c0d4c599757a28d4755781a12375d85cf4412d25c88d06e.

Observed on Windows/Python3.12/CUDA: complete CPU statistical replay; GPU864 configurations, maximum discrepancy 4.440892098500626e-16; 11 boundary tests. See COMPLETION_v1.md and INDEPENDENT_FINAL_REVIEW_v1.md for scope, hashes and limitations.

Both corrected-state correlations were lower than their baseline-state correlations. Reduced Monte Carlo uncertainty is not evidence of a higher pairing score. The 4x4 exact result is an exact expectation of the frozen trial state, not an exact ground-state claim.

unresolved

Private official 6x6 observable equivalence, corrected material filling, contribution terms and organizer method verification remain unresolved. No official method_verified status is claimed. Linux/macOS replay has not been observed. Existing production provenance exceptions and conditional-error limits are preserved.

Upstream materials are attributed to FINAL-Bench/OSC-Superconductor and original source contributors. Original notices and pinned source attribution are retained inside the ZIP. The upstream dataset declares CC-BY-NC-4.0; that notice is retained for upstream content. This repository does not assign a new blanket license to independently authored contributor code. Please clarify contribution terms with the organizers before reuse beyond applicable permissions.

REQUEST_DRAFT_v1.md is the reviewed historical request draft. The actual community post adds the public evidence URL and current filling-convention caveat. Post-preparation documents describing publication as pending remain historical records; actual publication is established by this repository and its linked community request.

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