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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
jailbreak: string
prompt_id: string
category: string
user_turn: string
think: string
answer: string
finish_reason: string
base_model: string
mode: string
command: string
git_sha: string
timestamp_utc: string
target: string
config: struct<dataset: string, jailbreaks: string, n_prompts: int64, n_jailbreaks: int64, include_plain: bo (... 312 chars omitted)
  child 0, dataset: string
  child 1, jailbreaks: string
  child 2, n_prompts: int64
  child 3, n_jailbreaks: int64
  child 4, include_plain: bool
  child 5, seed: int64
  child 6, smoke: bool
  child 7, generation: struct<temperature: double, top_p: double, max_tokens: int64, request_timeout: int64, max_retries: i (... 5 chars omitted)
      child 0, temperature: double
      child 1, top_p: double
      child 2, max_tokens: int64
      child 3, request_timeout: int64
      child 4, max_retries: int64
  child 8, judge: struct<model: string, temperature: double, max_tokens: int64>
      child 0, model: string
      child 1, temperature: double
      child 2, max_tokens: int64
  child 9, concurrency: struct<generation: int64, judge: int64>
      child 0, generation: int64
      child 1, judge: int64
  child 10, serving: struct<context_window: int64>
      child 0, context_window: int64
to
{'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'dataset': Value('string'), 'jailbreaks': Value('string'), 'n_prompts': Value('int64'), 'n_jailbreaks': Value('int64'), 'include_plain': Value('bool'), 'seed': Value('int64'), 'smoke': Value('bool'), 'generation': {'temperature': Value('float64'), 'top_p': Value('float64'), 'max_tokens': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'judge': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'concurrency': {'generation': Value('int64'), 'judge': Value('int64')}, 'serving': {'context_window': Value('int64')}}, 'command': Value('string'), 'target': Value('string'), 'base_model': Value('string'), 'mode': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, 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 127, 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 483, 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              jailbreak: string
              prompt_id: string
              category: string
              user_turn: string
              think: string
              answer: string
              finish_reason: string
              base_model: string
              mode: string
              command: string
              git_sha: string
              timestamp_utc: string
              target: string
              config: struct<dataset: string, jailbreaks: string, n_prompts: int64, n_jailbreaks: int64, include_plain: bo (... 312 chars omitted)
                child 0, dataset: string
                child 1, jailbreaks: string
                child 2, n_prompts: int64
                child 3, n_jailbreaks: int64
                child 4, include_plain: bool
                child 5, seed: int64
                child 6, smoke: bool
                child 7, generation: struct<temperature: double, top_p: double, max_tokens: int64, request_timeout: int64, max_retries: i (... 5 chars omitted)
                    child 0, temperature: double
                    child 1, top_p: double
                    child 2, max_tokens: int64
                    child 3, request_timeout: int64
                    child 4, max_retries: int64
                child 8, judge: struct<model: string, temperature: double, max_tokens: int64>
                    child 0, model: string
                    child 1, temperature: double
                    child 2, max_tokens: int64
                child 9, concurrency: struct<generation: int64, judge: int64>
                    child 0, generation: int64
                    child 1, judge: int64
                child 10, serving: struct<context_window: int64>
                    child 0, context_window: int64
              to
              {'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'dataset': Value('string'), 'jailbreaks': Value('string'), 'n_prompts': Value('int64'), 'n_jailbreaks': Value('int64'), 'include_plain': Value('bool'), 'seed': Value('int64'), 'smoke': Value('bool'), 'generation': {'temperature': Value('float64'), 'top_p': Value('float64'), 'max_tokens': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'judge': {'model': Value('string'), 'temperature': Value('float64'), 'max_tokens': Value('int64')}, 'concurrency': {'generation': Value('int64'), 'judge': Value('int64')}, 'serving': {'context_window': Value('int64')}}, 'command': Value('string'), 'target': Value('string'), 'base_model': Value('string'), 'mode': Value('string')}
              because column names don't match

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strongreject eval of matboz/qwen3.6-27b-lora-t2-9284-synthdoc-716-dynbatch-r64 (mode=think)

field value
experiment strongreject eval of matboz/qwen3.6-27b-lora-t2-9284-synthdoc-716-dynbatch-r64 (mode=think)
date_generated 2026-08-28
constitution none
source_repo teaching_claude_why_replication @ 8b88dd4b5663fcb5d9bd0bc44298ed46e4cd703b
models target=matboz/qwen3.6-27b-lora-t2-9284-synthdoc-716-dynbatch-r64 base=Qwen/Qwen3.6-27B
generation_config {"temperature": 1.0, "top_p": 0.95, "max_tokens": 16384, "request_timeout": 600, "max_retries": 2}
schema rollouts/: self-contained transcripts; results/: results.json + judge/eval outputs; metadata/: run_meta.json + config + provenance
provenance scripts/run_eval.py --target matboz/qwen3.6-27b-lora-t2-9284-synthdoc-716-dynbatch-r64 --name strongreject --server sr-eval --hf-org matboz
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