The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: TypeError
Message: Couldn't cast array of type
struct<python-openapi__openapi-schema-validator.6ed18138.pr_135__072db0ff:15: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, general_agent__instrument_rental.4f3180a5.pr_4__3b790b4b:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, py__pandas-dev__pandas_95280573_combine_file__g9thdmoi.5e3e9a2d.pr_0__6b4dd031:22: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, bids-standard__pybids.1fb41d2e.pr_1034__a95c3ebb:49: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_11074.9dd2e777.pr_0__6c062b4a:7: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_02680.2dece456.pr_0__e49b7ac3:1: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_03270.3b2da0fb.pr_0__e8502f37:6: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_12777.ba48463b.pr_0__c34621e4:8: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_14118.564a6a2d.pr_0__78a97bb5:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_12534.97dd55dc.pr_0__8e687d90:1: list<item: struct<z: string, y: string, lp_o
...
t<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_06394.8b3c30a3.pr_0__f2e88efb:2: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_11235.1f870bbb.pr_0__14846c06:0: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, java__dropwizard__metrics_968f367a_func_pm_bool_negate__sxn8pd0s.7de90809.pr_0__03ff8788:0: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, gohugoio__hugo.ab487aa6.pr_5960__96d405aa:38: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, go__go-chi__chi_23c395f8_lm_modify__igixksdi.aeac490d.pr_0__49dff449:16: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_00621.fc129179.pr_0__09bafaf9:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, scala-steward-org__scala-steward.cb6d4b64.pr_1961__376c3797:1: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, oasis-open__cti-python-stix2.d5d4158a.pr_467__1db8868c:25: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, opensearch-project__opensearch-php.f7405966.pr_273__248340eb:16: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>>
to
{'python-openapi__openapi-schema-validator.6ed18138.pr_135__072db0ff:15': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'general_agent__instrument_rental.4f3180a5.pr_4__3b790b4b:3': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'py__pandas-dev__pandas_95280573_combine_file__g9thdmoi.5e3e9a2d.pr_0__6b4dd031:22': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'bids-standard__pybids.1fb41d2e.pr_1034__a95c3ebb:49': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_11074.9dd2e777.pr_0__6c062b4a:7': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_02680.2dece456.pr_0__e49b7ac3:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_03270.3b2da0fb.pr_0__e8502f37:6': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_12777.ba48463b.pr_0__c34621e4:8': List({'z':
...
g'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'py__pndurette__gTTS_dbcda4f3_func_basic__vbw8cysq.710c1d8a.pr_0__e8eb1e48:5': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_01090.c946d4f2.pr_0__822a4008:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_09090.faf9c7ea.pr_0__e5ca05ac:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'jboss-dockerfiles__dogen.8d8b6e6e.pr_196__5620c569:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_08608.dcff6e7f.pr_0__3d1ea9ab:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_06464.fb0adfb8.pr_0__1e74276c:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_14449.8edaf94e.pr_0__048d2e52:4': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')})}
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 2312, in cast_table_to_schema
cast_array_to_feature(
~~~~~~~~~~~~~~~~~~~~~^
table[name] if name in table_column_names else pa.array([None] * len(table), type=schema.field(name).type),
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
feature,
^^^^^^^^
)
^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 1861, in wrapper
return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
~~~~^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2158, in cast_array_to_feature
raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
TypeError: Couldn't cast array of type
struct<python-openapi__openapi-schema-validator.6ed18138.pr_135__072db0ff:15: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, general_agent__instrument_rental.4f3180a5.pr_4__3b790b4b:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, py__pandas-dev__pandas_95280573_combine_file__g9thdmoi.5e3e9a2d.pr_0__6b4dd031:22: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, bids-standard__pybids.1fb41d2e.pr_1034__a95c3ebb:49: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_11074.9dd2e777.pr_0__6c062b4a:7: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_02680.2dece456.pr_0__e49b7ac3:1: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_03270.3b2da0fb.pr_0__e8502f37:6: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_12777.ba48463b.pr_0__c34621e4:8: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_14118.564a6a2d.pr_0__78a97bb5:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_12534.97dd55dc.pr_0__8e687d90:1: list<item: struct<z: string, y: string, lp_o
...
t<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_06394.8b3c30a3.pr_0__f2e88efb:2: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_11235.1f870bbb.pr_0__14846c06:0: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, java__dropwizard__metrics_968f367a_func_pm_bool_negate__sxn8pd0s.7de90809.pr_0__03ff8788:0: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, gohugoio__hugo.ab487aa6.pr_5960__96d405aa:38: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, go__go-chi__chi_23c395f8_lm_modify__igixksdi.aeac490d.pr_0__49dff449:16: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, terminal_lego__task_00621.fc129179.pr_0__09bafaf9:3: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, scala-steward-org__scala-steward.cb6d4b64.pr_1961__376c3797:1: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, oasis-open__cti-python-stix2.d5d4158a.pr_467__1db8868c:25: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>, opensearch-project__opensearch-php.f7405966.pr_273__248340eb:16: list<item: struct<z: string, y: string, lp_own: double, lp_empty: double, lp_thought: double>>>
to
{'python-openapi__openapi-schema-validator.6ed18138.pr_135__072db0ff:15': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'general_agent__instrument_rental.4f3180a5.pr_4__3b790b4b:3': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'py__pandas-dev__pandas_95280573_combine_file__g9thdmoi.5e3e9a2d.pr_0__6b4dd031:22': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'bids-standard__pybids.1fb41d2e.pr_1034__a95c3ebb:49': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_11074.9dd2e777.pr_0__6c062b4a:7': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_02680.2dece456.pr_0__e49b7ac3:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_03270.3b2da0fb.pr_0__e8502f37:6': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_12777.ba48463b.pr_0__c34621e4:8': List({'z':
...
g'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'py__pndurette__gTTS_dbcda4f3_func_basic__vbw8cysq.710c1d8a.pr_0__e8eb1e48:5': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_01090.c946d4f2.pr_0__822a4008:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_09090.faf9c7ea.pr_0__e5ca05ac:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'jboss-dockerfiles__dogen.8d8b6e6e.pr_196__5620c569:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_08608.dcff6e7f.pr_0__3d1ea9ab:1': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_06464.fb0adfb8.pr_0__1e74276c:0': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')}), 'terminal_lego__task_14449.8edaf94e.pr_0__048d2e52:4': List({'z': Value('string'), 'y': Value('string'), 'lp_own': Value('float64'), 'lp_empty': Value('float64'), 'lp_thought': Value('float64')})}Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
YAML Metadata Warning:empty or missing yaml metadata in repo card
Check out the documentation for more information.
Local Affine duel (remote vLLM, Affine scoring)
This machine does not serve models. Affine's evalsrv.dueling.run_duel scores
three remote OpenAI-compatible endpoints. Model ids come from each server's
GET /v1/models — you only pass URLs. Completions still send that served id.
Chat tokenizers are loaded from tokenizer/{teacher,king,challenge}
(tokenizer.json + chat_template.jinja), not Hugging Face.
teacher http://HOST:10000
king http://HOST:10001
challenger http://HOST:10002
Run
cd /root/af_local_eval
# edit config.toml endpoints, or pass URLs on the CLI:
./run.sh probe --teacher-url http://HOST:10000 \
--king-url http://HOST:10001 \
--challenger-url http://HOST:10002
./run.sh slice --n-turns 32
./run.sh duel --teacher-url http://HOST:10000 \
--king-url http://HOST:10001 \
--challenger-url http://HOST:10002
Dataset is optional (the epoch dump is updated often):
./run.sh duel # glob [corpus].dir
./run.sh duel --turns /path/to/turns.jsonl
./run.sh duel --corpus-dir /root/affine/separate_datasets/epoch \
--corpus-files turns_epoch_0012_0000.jsonl
Outputs: runs/<utc>/result.json — same keys as validator chal-*.json
(job_id, request, verdict, slice, turn_ids, teacher_refs,
king_rows, challenger_rows).
Scoring is Affine Reason v4 (weight_version_key=8): k=3 teacher refs per
turn, tempered log-mean-exp with tau=0.03, n_turns=1300, crown floor
min_margin=0.001 (recalibrated 2026-08-21 from 0.002). Knobs come from
Affine affine.toml [duel]. Override with --n-turns, --tau,
--n-teacher-samples, --min-margin, --concurrency, or a [duel]
section in config.toml.
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