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Datasets:
dougalldeepmind
/
2026-09-16-odcv-qwen36-0-da-7-empty-cot

Tags:
eval-run
eval:odcv
model:qwen36_0_da_7_empty_cot
mode:think
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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
git_sha: string
timestamp_utc: string
config: struct<published_key: string, temperature: double, passes: int64, bench_dir: string, concurrency: in (... 425 chars omitted)
  child 0, published_key: string
  child 1, temperature: double
  child 2, passes: int64
  child 3, bench_dir: string
  child 4, concurrency: int64
  child 5, scenario_timeout_s: int64
  child 6, prune_images: bool
  child 7, judges: struct<gemini-3-flash-preview: string>
      child 0, gemini-3-flash-preview: string
  child 8, judge_workers: int64
  child 9, progress_judge: bool
  child 10, progress_judges: struct<gemini-3-flash-preview: string>
      child 0, gemini-3-flash-preview: string
  child 11, smoke: bool
  child 12, serving: struct<context_window: int64, needs_tool_calls: bool, reuses_long_prefixes: bool>
      child 0, context_window: int64
      child 1, needs_tool_calls: bool
      child 2, reuses_long_prefixes: bool
  child 13, output_root: string
  child 14, _run_eval: struct<push: bool, runner: string>
      child 0, push: bool
      child 1, runner: string
  child 15, model: string
  child 16, model_key: string
  child 17, base_url: string
combined_from: list<item: string>
  child 0, item: string
model_key: string
passes: list<item: string>
  child 0, item: string
per_pass_counts: struct<20260916_222622: struct<mandated: int64, incentivized: int64>>
  child 0, 20260916_222622: struct<mandated: int64, incentivized: int64>
      child 0, mandated: int64
      child 1, incentivized: int64
n_transcripts: int64
skipped_empty: list<item: null>
  child 0, item: null
to
{'model_key': Value('string'), 'passes': List(Value('string')), 'per_pass_counts': {'20260916_222622': {'mandated': Value('int64'), 'incentivized': Value('int64')}}, 'n_transcripts': Value('int64'), 'skipped_empty': List(Value('null'))}
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
              git_sha: string
              timestamp_utc: string
              config: struct<published_key: string, temperature: double, passes: int64, bench_dir: string, concurrency: in (... 425 chars omitted)
                child 0, published_key: string
                child 1, temperature: double
                child 2, passes: int64
                child 3, bench_dir: string
                child 4, concurrency: int64
                child 5, scenario_timeout_s: int64
                child 6, prune_images: bool
                child 7, judges: struct<gemini-3-flash-preview: string>
                    child 0, gemini-3-flash-preview: string
                child 8, judge_workers: int64
                child 9, progress_judge: bool
                child 10, progress_judges: struct<gemini-3-flash-preview: string>
                    child 0, gemini-3-flash-preview: string
                child 11, smoke: bool
                child 12, serving: struct<context_window: int64, needs_tool_calls: bool, reuses_long_prefixes: bool>
                    child 0, context_window: int64
                    child 1, needs_tool_calls: bool
                    child 2, reuses_long_prefixes: bool
                child 13, output_root: string
                child 14, _run_eval: struct<push: bool, runner: string>
                    child 0, push: bool
                    child 1, runner: string
                child 15, model: string
                child 16, model_key: string
                child 17, base_url: string
              combined_from: list<item: string>
                child 0, item: string
              model_key: string
              passes: list<item: string>
                child 0, item: string
              per_pass_counts: struct<20260916_222622: struct<mandated: int64, incentivized: int64>>
                child 0, 20260916_222622: struct<mandated: int64, incentivized: int64>
                    child 0, mandated: int64
                    child 1, incentivized: int64
              n_transcripts: int64
              skipped_empty: list<item: null>
                child 0, item: null
              to
              {'model_key': Value('string'), 'passes': List(Value('string')), 'per_pass_counts': {'20260916_222622': {'mandated': Value('int64'), 'incentivized': Value('int64')}}, 'n_transcripts': Value('int64'), 'skipped_empty': List(Value('null'))}
              because column names don't match

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odcv eval of dougalldeepmind/2026-09-16-qwen36-0-da-7-empty-cot (mode=think)

field value
experiment odcv eval of dougalldeepmind/2026-09-16-qwen36-0-da-7-empty-cot (mode=think)
date_generated 2026-09-16
constitution none
source_repo teaching_claude_why_replication @ 0ee0e1248d478f976806b783deb0987c04cbaa5c
models {"target": "dougalldeepmind/2026-09-16-qwen36-0-da-7-empty-cot", "target_revision": "b60f9e3656f92b99d9aedf1f9afbccefa3cc6f48", "base": "Qwen/Qwen3.6-27B", "base_revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9"}
generation_config {"temperature": 0.7, "passes": 1, "concurrency": 4, "scenario_timeout_s": 2400, "serving": {"context_window": 28000, "needs_tool_calls": true, "reuses_long_prefixes": true}, "judges": {"gemini-3-flash-preview": "google/gemini-3-flash-preview"}, "judge_workers": 8, "progress_judge": true, "progress_judges": {"gemini-3-flash-preview": "google/gemini-3-flash-preview"}, "smoke": false}
schema rollouts/: self-contained transcripts; results/: results.json + judge/eval outputs; metadata/: run_meta.json + config + provenance
provenance C:\Users\nikak\source\repos\LASR\teaching_claude_why_replication_da_supervision\scratch\da_supervision\odcv_eval.py --name odcv --config scratch/da_supervision/odcv.yaml --target dougalldeepmind/2026-09-16-qwen36-0-da-7-empty-cot --server --port 8113 --server-bind 0.0.0.0 --terminate-pod output_root=output/da_odcv_remaining_2026-09-16/empty/eval
cost_accounting Allocation-to-final-teardown-verification upper estimate; GPU was released before local judging. Excludes storage. Shared OpenRouter account usage deltas in original results are not attributable costs for this run.
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