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<seed: int64, generation: struct<temperature: double, top_p: double, repetitions: int64, max_t (... 192 chars omitted)
child 0, seed: int64
child 1, generation: struct<temperature: double, top_p: double, repetitions: int64, max_tokens: int64, parallel: int64, r (... 42 chars omitted)
child 0, temperature: double
child 1, top_p: double
child 2, repetitions: int64
child 3, max_tokens: int64
child 4, parallel: int64
child 5, request_timeout: int64
child 6, max_retries: int64
child 2, swap_options: bool
child 3, system_prompt: null
child 4, constitution: string
child 5, serving: struct<context_window: int64>
child 0, context_window: int64
child 6, mode: string
command: string
target: string
base_model: string
mode: string
n_items: int64
repetitions: int64
system_prompt: string
upstream_commit: string
swap_options: bool
to
{'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'seed': Value('int64'), 'generation': {'temperature': Value('float64'), 'top_p': Value('float64'), 'repetitions': Value('int64'), 'max_tokens': Value('int64'), 'parallel': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'swap_options': Value('bool'), 'system_prompt': Value('null'), 'constitution': Value('string'), 'serving': {'context_window': Value('int64')}, 'mode': Value('string')}, 'target': Value('string'), 'mode': Value('string'), 'n_items': Value('int64'), 'repetitions': Value('int64'), 'swap_options': Value('bool'), 'system_prompt': Value('string'), 'upstream_commit': 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
git_sha: string
timestamp_utc: string
config: struct<seed: int64, generation: struct<temperature: double, top_p: double, repetitions: int64, max_t (... 192 chars omitted)
child 0, seed: int64
child 1, generation: struct<temperature: double, top_p: double, repetitions: int64, max_tokens: int64, parallel: int64, r (... 42 chars omitted)
child 0, temperature: double
child 1, top_p: double
child 2, repetitions: int64
child 3, max_tokens: int64
child 4, parallel: int64
child 5, request_timeout: int64
child 6, max_retries: int64
child 2, swap_options: bool
child 3, system_prompt: null
child 4, constitution: string
child 5, serving: struct<context_window: int64>
child 0, context_window: int64
child 6, mode: string
command: string
target: string
base_model: string
mode: string
n_items: int64
repetitions: int64
system_prompt: string
upstream_commit: string
swap_options: bool
to
{'git_sha': Value('string'), 'timestamp_utc': Value('string'), 'config': {'seed': Value('int64'), 'generation': {'temperature': Value('float64'), 'top_p': Value('float64'), 'repetitions': Value('int64'), 'max_tokens': Value('int64'), 'parallel': Value('int64'), 'request_timeout': Value('int64'), 'max_retries': Value('int64')}, 'swap_options': Value('bool'), 'system_prompt': Value('null'), 'constitution': Value('string'), 'serving': {'context_window': Value('int64')}, 'mode': Value('string')}, 'target': Value('string'), 'mode': Value('string'), 'n_items': Value('int64'), 'repetitions': Value('int64'), 'swap_options': Value('bool'), 'system_prompt': Value('string'), 'upstream_commit': Value('string')}
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.
moralbench eval of Qwen/Qwen3.6-27B (mode=think)
| field | value |
|---|---|
experiment |
moralbench eval of Qwen/Qwen3.6-27B (mode=think) |
date_generated |
2026-09-01 |
constitution |
none |
source_repo |
teaching_claude_why_replication @ 5232ecaec8afd01a8a213b5cc3b079cf868a7a59 |
models |
target=Qwen/Qwen3.6-27B base=Qwen/Qwen3.6-27B |
generation_config |
{"temperature": 0.7, "top_p": 1.0, "repetitions": 5, "max_tokens": 8192, "parallel": 16, "request_timeout": 300, "max_retries": 2} |
schema |
rollouts/: self-contained transcripts; results/: results.json + judge/eval outputs; metadata/: run_meta.json + config + provenance |
provenance |
C:/Users/nikak/AppData/Local/Temp/claude/C--Users-nikak-source-repos-LASR-teaching-claude-why-replication/c92de66e-930a-4cfb-8de7-a3ed10e1b08b/scratchpad/run_moralbench_ladder.py |
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