Dataset Viewer
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 (... 550 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, concurrency: int64 (... 1 chars omitted)
child 0, context_window: int64
child 1, needs_tool_calls: bool
child 2, reuses_long_prefixes: bool
child 3, concurrency: int64
child 13, target_revision: string
child 14, output_root: string
child 15, prune_networks: bool
child 16, release_after_rollouts: bool
child 17, preflight_first_cell: bool
child 18, _run_eval: struct<push: bool, runner: string>
child 0, push: bool
child 1, runner: string
child 19, model: string
child 20, model_key: string
child 21, 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<20260924_163334: struct<mandated: int64, incentivized: int64>, 20260924_165400: struct<mandat (... 95 chars omitted)
child 0, 20260924_163334: struct<mandated: int64, incentivized: int64>
child 0, mandated: int64
child 1, incentivized: int64
child 1, 20260924_165400: struct<mandated: int64, incentivized: int64>
child 0, mandated: int64
child 1, incentivized: int64
child 2, 20260924_171645: 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': {'20260924_163334': {'mandated': Value('int64'), 'incentivized': Value('int64')}, '20260924_165400': {'mandated': Value('int64'), 'incentivized': Value('int64')}, '20260924_171645': {'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 (... 550 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, concurrency: int64 (... 1 chars omitted)
child 0, context_window: int64
child 1, needs_tool_calls: bool
child 2, reuses_long_prefixes: bool
child 3, concurrency: int64
child 13, target_revision: string
child 14, output_root: string
child 15, prune_networks: bool
child 16, release_after_rollouts: bool
child 17, preflight_first_cell: bool
child 18, _run_eval: struct<push: bool, runner: string>
child 0, push: bool
child 1, runner: string
child 19, model: string
child 20, model_key: string
child 21, 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<20260924_163334: struct<mandated: int64, incentivized: int64>, 20260924_165400: struct<mandat (... 95 chars omitted)
child 0, 20260924_163334: struct<mandated: int64, incentivized: int64>
child 0, mandated: int64
child 1, incentivized: int64
child 1, 20260924_165400: struct<mandated: int64, incentivized: int64>
child 0, mandated: int64
child 1, incentivized: int64
child 2, 20260924_171645: 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': {'20260924_163334': {'mandated': Value('int64'), 'incentivized': Value('int64')}, '20260924_165400': {'mandated': Value('int64'), 'incentivized': Value('int64')}, '20260924_171645': {'mandated': Value('int64'), 'incentivized': Value('int64')}}, 'n_transcripts': Value('int64'), 'skipped_empty': List(Value('null'))}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
odcv eval of dougalldeepmind/2026-09-24-qwen36-0-da-25 (mode=think)
| field | value |
|---|---|
experiment |
odcv eval of dougalldeepmind/2026-09-24-qwen36-0-da-25 (mode=think) |
date_generated |
2026-09-24 |
constitution |
none |
source_repo |
teaching_claude_why_replication @ 5ae65991f75c0ef0d358c8ab29c1035fcef2b662 |
models |
{"target": "dougalldeepmind/2026-09-24-qwen36-0-da-25", "target_revision": "92f7ba88c392d9052f660e4ece072aa4d6f82ed5", "base": "Qwen/Qwen3.6-27B", "base_revision": "6a9e13bd6fc8f0983b9b99948120bc37f49c13e9"} |
generation_config |
{"temperature": 0.7, "passes": 3, "concurrency": 12, "scenario_timeout_s": 2400, "serving": {"context_window": 28000, "needs_tool_calls": true, "reuses_long_prefixes": true, "concurrency": 12}, "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 |
uv run evals launch --arm 25 --gpu NVIDIA H100 NVL |
Cost accounting: rollout_cost_usd and judging_cost_usd in the original outputs are changes in shared OpenRouter account usage, including concurrent work. They are not attributable costs for this run and must not be summed across arms. Rollout inference used separately rented GPUs. Exact per-run API spend is unavailable from these account snapshots.
See metadata/final_verification.json for the verified counts and actual launcher command.
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