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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
id: int64
query: string
report: string
L1_primary_intent: string
L2_information_need: list<item: string>
  child 0, item: string
L3_constraints: list<item: string>
  child 0, item: string
model: string
experiment: string
timestamp: string
duration_seconds: double
metadata: struct<source_type: string, cache_file: string, success: bool, error: string, source_file: string, c (... 306 chars omitted)
  child 0, source_type: string
  child 1, cache_file: string
  child 2, success: bool
  child 3, error: string
  child 4, source_file: string
  child 5, config: struct<model: string, threads: int64, dataset: string, use_optimized: bool, stream: bool, timeout: d (... 198 chars omitted)
      child 0, model: string
      child 1, threads: int64
      child 2, dataset: string
      child 3, use_optimized: bool
      child 4, stream: bool
      child 5, timeout: double
      child 6, verbose: bool
      child 7, prefix: struct<zh: string, en: string, fr: string, ko: string>
          child 0, zh: string
          child 1, en: string
          child 2, fr: string
          child 3, ko: string
      child 8, base_url: string
      child 9, api_key_env: string
      child 10, tool_type: string
      child 11, api_key: string
      child 12, api_version: string
      child 13, iai_tag: string
source_file: string
sample_id: string
stability_subset: bool
available: bool
ok: bool
checked_at: string
user: string
to
{'ok': Value('bool'), 'user': Value('string'), 'checked_at': 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: int64
              query: string
              report: string
              L1_primary_intent: string
              L2_information_need: list<item: string>
                child 0, item: string
              L3_constraints: list<item: string>
                child 0, item: string
              model: string
              experiment: string
              timestamp: string
              duration_seconds: double
              metadata: struct<source_type: string, cache_file: string, success: bool, error: string, source_file: string, c (... 306 chars omitted)
                child 0, source_type: string
                child 1, cache_file: string
                child 2, success: bool
                child 3, error: string
                child 4, source_file: string
                child 5, config: struct<model: string, threads: int64, dataset: string, use_optimized: bool, stream: bool, timeout: d (... 198 chars omitted)
                    child 0, model: string
                    child 1, threads: int64
                    child 2, dataset: string
                    child 3, use_optimized: bool
                    child 4, stream: bool
                    child 5, timeout: double
                    child 6, verbose: bool
                    child 7, prefix: struct<zh: string, en: string, fr: string, ko: string>
                        child 0, zh: string
                        child 1, en: string
                        child 2, fr: string
                        child 3, ko: string
                    child 8, base_url: string
                    child 9, api_key_env: string
                    child 10, tool_type: string
                    child 11, api_key: string
                    child 12, api_version: string
                    child 13, iai_tag: string
              source_file: string
              sample_id: string
              stability_subset: bool
              available: bool
              ok: bool
              checked_at: string
              user: string
              to
              {'ok': Value('bool'), 'user': Value('string'), 'checked_at': Value('string')}
              because column names don't match

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JADE ICML 2026 reproduction artifacts

This public dataset stores prepared inputs, immutable run manifests, raw generations, and result records for the open-backend reproduction of arXiv:2602.06486.

The original JADE source is pinned to commit db76e5900f98b839b04512cd6b9336140c428a4d.

The two unavailable Claude reports and 42 unavailable HealthBench completions are preserved as data-availability limitations rather than synthesized.

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