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
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
mode: 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
base_model: string
git_sha: string
command: string
target: string
timestamp_utc: string
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
mode: 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
base_model: string
git_sha: string
command: string
target: string
timestamp_utc: string
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 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.
constitution_mcq eval of Qwen/Qwen3.6-27B (mode=nothink)
| field | value |
|---|---|
experiment |
constitution_mcq eval of Qwen/Qwen3.6-27B (mode=nothink) |
date_generated |
2026-09-01 |
constitution |
none |
source_repo |
teaching_claude_why_replication @ 366eeb259207c13af26834b05b1236b0db4e9409 |
models |
target=Qwen/Qwen3.6-27B 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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