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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
schema_version: int64
run_count: int64
stage_count: int64
scope: string
metrics_and_training_unchanged: bool
runs: list<item: struct<run_id: string, word: string, stages: struct<before: struct<rows: int64, layers: l (... 597 chars omitted)
  child 0, item: struct<run_id: string, word: string, stages: struct<before: struct<rows: int64, layers: list<item: s (... 585 chars omitted)
      child 0, run_id: string
      child 1, word: string
      child 2, stages: struct<before: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha25 (... 539 chars omitted)
          child 0, before: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha256: string, pref (... 207 chars omitted)
              child 0, rows: int64
              child 1, layers: list<item: string>
                  child 0, item: string
              child 2, multi_token_rows: int64
              child 3, source_sha256: string
              child 4, prefix_sha256: string
              child 5, nonfinite_prefix_elements: int64
              child 6, canonical_position: string
              child 7, source_selector: string
              child 8, applies_to_both_variants: bool
              child 9, original_files_unchanged: bool
              child 10, requires: string
              child 11, ids_sha256: string
          child 1, after: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha256: string, pref (... 207 chars omitted)
              child 0, rows: int64
              child 1, layers: list<item: string>
                  child 0, item: string
              child 2, multi_token_rows: int64
              child 3, source_sha256: string
              child 4, prefix_sha256: string
              child 5, nonfinite_prefix_elements: int64
              child 6, canonical_position: string
              child 7, source_selector: string
              child 8, applies_to_both_variants: bool
              child 9, original_files_unchanged: bool
              child 10, requires: string
              child 11, ids_sha256: string
source_sha256: string
schema: string
defect: string
repair: string
unaffected: list<item: string>
  child 0, item: string
to
{'schema': Value('string'), 'source_sha256': Value('string'), 'defect': Value('string'), 'scope': Value('string'), 'unaffected': List(Value('string')), 'repair': 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
              schema_version: int64
              run_count: int64
              stage_count: int64
              scope: string
              metrics_and_training_unchanged: bool
              runs: list<item: struct<run_id: string, word: string, stages: struct<before: struct<rows: int64, layers: l (... 597 chars omitted)
                child 0, item: struct<run_id: string, word: string, stages: struct<before: struct<rows: int64, layers: list<item: s (... 585 chars omitted)
                    child 0, run_id: string
                    child 1, word: string
                    child 2, stages: struct<before: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha25 (... 539 chars omitted)
                        child 0, before: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha256: string, pref (... 207 chars omitted)
                            child 0, rows: int64
                            child 1, layers: list<item: string>
                                child 0, item: string
                            child 2, multi_token_rows: int64
                            child 3, source_sha256: string
                            child 4, prefix_sha256: string
                            child 5, nonfinite_prefix_elements: int64
                            child 6, canonical_position: string
                            child 7, source_selector: string
                            child 8, applies_to_both_variants: bool
                            child 9, original_files_unchanged: bool
                            child 10, requires: string
                            child 11, ids_sha256: string
                        child 1, after: struct<rows: int64, layers: list<item: string>, multi_token_rows: int64, source_sha256: string, pref (... 207 chars omitted)
                            child 0, rows: int64
                            child 1, layers: list<item: string>
                                child 0, item: string
                            child 2, multi_token_rows: int64
                            child 3, source_sha256: string
                            child 4, prefix_sha256: string
                            child 5, nonfinite_prefix_elements: int64
                            child 6, canonical_position: string
                            child 7, source_selector: string
                            child 8, applies_to_both_variants: bool
                            child 9, original_files_unchanged: bool
                            child 10, requires: string
                            child 11, ids_sha256: string
              source_sha256: string
              schema: string
              defect: string
              repair: string
              unaffected: list<item: string>
                child 0, item: string
              to
              {'schema': Value('string'), 'source_sha256': Value('string'), 'defect': Value('string'), 'scope': Value('string'), 'unaffected': List(Value('string')), 'repair': Value('string')}
              because column names don't match

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Reviewed early-stop release

  • Three-page report, text/tables, reproduction notes.
  • 116 baseline words; 193 completed protocol-v2 conditions out of 233 planned.
  • One nonfinite-loss failure and 39 conditions without completed results (one interrupted). Completed high-LR records also include disclosed finite blowups.
  • Primary row-only coverage: 77/116 words. Detailed controlled comparisons: nine selected cases, not a random sample. No LoRA or separate data-size sweep.
  • Raw states/trajectories, inputs and executed source are preserved. Shared-prefix correction companions cover 193 runs / 386 stages without replacing original tensors.
  • Original artifact verification manifest; updated release manifest.
  • Vast instance 57701098 was destroyed after preservation and analysis, and independently verified absent via the provider API. Provider confirmation.
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