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, concurrency: int64, scenario_timeout_s: int64, pr (... 352 chars omitted)
child 0, published_key: string
child 1, temperature: double
child 2, concurrency: int64
child 3, scenario_timeout_s: int64
child 4, prune_images: bool
child 5, expected_cells: int64
child 6, judges: struct<grok-4.20: string, gemini-3.1-pro-preview: string>
child 0, grok-4.20: string
child 1, gemini-3.1-pro-preview: string
child 7, exclude_scenarios: list<item: string>
child 0, item: string
child 8, bench_dir: string
child 9, passes: int64
child 10, judge_workers: int64
child 11, smoke: bool
child 12, serving: struct<needs_tool_calls: bool, context_window: int64>
child 0, needs_tool_calls: bool
child 1, context_window: int64
child 13, model: string
child 14, model_key: string
child 15, base_url: string
child 16, output_root: 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<20260827_160826: struct<mandated: int64, incentivized: int64>>
child 0, 20260827_160826: 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': {'20260827_160826': {'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, concurrency: int64, scenario_timeout_s: int64, pr (... 352 chars omitted)
child 0, published_key: string
child 1, temperature: double
child 2, concurrency: int64
child 3, scenario_timeout_s: int64
child 4, prune_images: bool
child 5, expected_cells: int64
child 6, judges: struct<grok-4.20: string, gemini-3.1-pro-preview: string>
child 0, grok-4.20: string
child 1, gemini-3.1-pro-preview: string
child 7, exclude_scenarios: list<item: string>
child 0, item: string
child 8, bench_dir: string
child 9, passes: int64
child 10, judge_workers: int64
child 11, smoke: bool
child 12, serving: struct<needs_tool_calls: bool, context_window: int64>
child 0, needs_tool_calls: bool
child 1, context_window: int64
child 13, model: string
child 14, model_key: string
child 15, base_url: string
child 16, output_root: 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<20260827_160826: struct<mandated: int64, incentivized: int64>>
child 0, 20260827_160826: 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': {'20260827_160826': {'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 LASR-Callum/qwen3.6-27b-lora-t2-9284-da716-verbose-r64-dynbatch (mode=think)
| field | value |
|---|---|
experiment |
odcv eval of LASR-Callum/qwen3.6-27b-lora-t2-9284-da716-verbose-r64-dynbatch (mode=think) |
date_generated |
2026-08-27 |
constitution |
none |
source_repo |
teaching_claude_why_replication @ 497c8d92598026246f5f3d8c3a4ce0da3a3f864e |
models |
target=LASR-Callum/qwen3.6-27b-lora-t2-9284-da716-verbose-r64-dynbatch base=Qwen/Qwen3.6-27B |
generation_config |
{} |
schema |
rollouts/: self-contained transcripts; results/: results.json + judge/eval outputs; metadata/: run_meta.json + config + provenance |
provenance |
scripts/run_eval.py --target LASR-Callum/qwen3.6-27b-lora-t2-9284-da716-verbose-r64-dynbatch matboz/qwen3.6-27b-lora-t2-9284-verbosecot716-r64-seed42 matboz/qwen3.6-27b-lora-t2-9284-verbosecot716-r64-seed69 --name odcv --server vcserve --server-bind 10.201.0.1 --config configs/eval/odcv_verbosecot716_60cells.yaml --hf-org matboz |
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