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Datasets:
LASR-Callum
/
2026-09-01-constitution-mcq-qwen36-lora-table2-9284-difficult-advice-chunk-only-702

Tags:
eval-run
eval:constitution_mcq
model:2026-08-21_qwen36_lora_table2_9284_difficult_advice_chunk_only_702_rank_64_dynbatch
mode:nothink
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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
n: int64
accuracy_debiased: double
accuracy_naive: double
correct: string
chance: double
band_acc: struct<easy: struct<acc: double, n: int64>, hard: struct<acc: double, n: int64>, mid: struct<acc: do (... 16 chars omitted)
  child 0, easy: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 1, hard: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 2, mid: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
domain_acc: struct<1: struct<acc: double, n: int64>, 2: struct<acc: double, n: int64>, 3: struct<acc: double, n: (... 110 chars omitted)
  child 0, 1: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 1, 2: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 2, 3: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 3, 4: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 4, 5: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
  child 5, 6: struct<acc: double, n: int64>
      child 0, acc: double
      child 1, n: int64
position_bias: list<item: double>
  child 0, item: double
letters_missing_from_topk: int64
letters_scored: int64
timestamp_utc: string
mode: string
base_model: string
git_sha: string
command: string
target: string
config: struct<seed: int64, dataset: struct<repo: string, split: string, revision: string, band: null>, temp (... 262 chars omitted)
  child 0, seed: int64
  child 1, dataset: struct<repo: string, split: string, revision: string, band: null>
      child 0, repo: string
      child 1, split: string
      child 2, revision: string
      child 3, band: null
  child 2, templates: list<item: string>
      child 0, item: string
  child 3, prompt: struct<raw_answer_cue: string>
      child 0, raw_answer_cue: string
  child 4, generation: struct<top_logprobs: int64, parallel: int64, request_timeout: int64, max_retries: int64>
      child 0, top_logprobs: int64
      child 1, parallel: int64
      child 2, request_timeout: int64
      child 3, max_retries: int64
  child 5, mode: string
  child 6, output_dir: string
  child 7, serving: struct<context_window: int64, concurrency: int64>
      child 0, context_window: int64
      child 1, concurrency: int64
to
{'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'seed': Value('int64'), 'dataset': {'repo': Value('string'), 'split': Value('string'), 'revision': Value('string'), 'band': Value('null')}, 'templates': List(Value('string')), 'prompt': {'raw_answer_cue': Value('string')}, 'generation': {'top_logprobs': Value('int64'), 'parallel': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'mode': Value('string'), 'output_dir': Value('string'), 'serving': {'context_window': Value('int64'), 'concurrency': 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
              n: int64
              accuracy_debiased: double
              accuracy_naive: double
              correct: string
              chance: double
              band_acc: struct<easy: struct<acc: double, n: int64>, hard: struct<acc: double, n: int64>, mid: struct<acc: do (... 16 chars omitted)
                child 0, easy: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 1, hard: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 2, mid: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
              domain_acc: struct<1: struct<acc: double, n: int64>, 2: struct<acc: double, n: int64>, 3: struct<acc: double, n: (... 110 chars omitted)
                child 0, 1: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 1, 2: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 2, 3: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 3, 4: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 4, 5: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
                child 5, 6: struct<acc: double, n: int64>
                    child 0, acc: double
                    child 1, n: int64
              position_bias: list<item: double>
                child 0, item: double
              letters_missing_from_topk: int64
              letters_scored: int64
              timestamp_utc: string
              mode: string
              base_model: string
              git_sha: string
              command: string
              target: string
              config: struct<seed: int64, dataset: struct<repo: string, split: string, revision: string, band: null>, temp (... 262 chars omitted)
                child 0, seed: int64
                child 1, dataset: struct<repo: string, split: string, revision: string, band: null>
                    child 0, repo: string
                    child 1, split: string
                    child 2, revision: string
                    child 3, band: null
                child 2, templates: list<item: string>
                    child 0, item: string
                child 3, prompt: struct<raw_answer_cue: string>
                    child 0, raw_answer_cue: string
                child 4, generation: struct<top_logprobs: int64, parallel: int64, request_timeout: int64, max_retries: int64>
                    child 0, top_logprobs: int64
                    child 1, parallel: int64
                    child 2, request_timeout: int64
                    child 3, max_retries: int64
                child 5, mode: string
                child 6, output_dir: string
                child 7, serving: struct<context_window: int64, concurrency: int64>
                    child 0, context_window: int64
                    child 1, concurrency: int64
              to
              {'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'seed': Value('int64'), 'dataset': {'repo': Value('string'), 'split': Value('string'), 'revision': Value('string'), 'band': Value('null')}, 'templates': List(Value('string')), 'prompt': {'raw_answer_cue': Value('string')}, 'generation': {'top_logprobs': Value('int64'), 'parallel': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'mode': Value('string'), 'output_dir': Value('string'), 'serving': {'context_window': Value('int64'), 'concurrency': 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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constitution_mcq eval of LASR-Callum/2026-08-21-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch (mode=nothink)

field value
experiment constitution_mcq eval of LASR-Callum/2026-08-21-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch (mode=nothink)
date_generated 2026-09-01
constitution none
source_repo teaching_claude_why_replication @ c6f4d910666595194ee307109d5456143ea639c4
models target=LASR-Callum/2026-08-21-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch base=Qwen/Qwen3.6-27B
generation_config {"top_logprobs": 20, "parallel": 16, "request_timeout": 120, "max_retries": 2}
schema rollouts/: self-contained transcripts; results/: results.json + judge/eval outputs; metadata/: run_meta.json + config + provenance
provenance /Users/kunwar/projects/lessons_from_constitutional_aft/.claude/worktrees/constitution-mcq/.venv/bin/evals --name constitution_mcq --target LASR-Callum/2026-08-21-qwen36-lora-table2-9284-difficult-advice-chunk-only-702-rank-64-dynbatch LASR-Callum/2026-08-04-qwen36-lora-table2-only-9284-rank-64 Qwen/Qwen3.6-27B --server root@103.207.149.173:16275
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