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
candidate_count: int64
domain: string
error: string
error_type: string
example: struct<candidates: list<item: struct<description: string, id: string, label: string, ordinal_value: (... 1725 chars omitted)
child 0, candidates: list<item: struct<description: string, id: string, label: string, ordinal_value: null>>
child 0, item: struct<description: string, id: string, label: string, ordinal_value: null>
child 0, description: string
child 1, id: string
child 2, label: string
child 3, ordinal_value: null
child 1, domain: string
child 2, family: string
child 3, gold_candidate_id: string
child 4, gold_probabilities: list<item: double>
child 0, item: double
child 5, instruction: string
child 6, primitive: string
child 7, row_id: string
child 8, source: struct<decisionbench_paraphrase_v2: struct<generator_attempt: int64, minimal_normalization_applied: (... 1104 chars omitted)
child 0, decisionbench_paraphrase_v2: struct<generator_attempt: int64, minimal_normalization_applied: bool, model: string, parent_dataset_ (... 148 chars omitted)
child 0, generator_attempt: int64
child 1, minimal_normalization_applied: bool
child 2, model: string
child 3, parent_dataset_sha256: string
child 4, parent_row_sha256: string
child 5, prompt_config_sha256: string
child 6, reasoning_enabled: bool
child 7, schema_version: string
child 8,
...
child 13, woonplaats: string
child 3, stratum: string
child 3, raw_sha256: string
child 4, revision: string
child 5, source_ids: list<item: string>
child 0, item: string
child 6, split: string
child 4, source_line: int64
child 5, state_format: string
child 9, state: struct<query_record: struct<achternaam: string, geboortedatum: string, geboorteland: string, geboort (... 221 chars omitted)
child 0, query_record: struct<achternaam: string, geboortedatum: string, geboorteland: string, geboorteplaats: string, gesl (... 199 chars omitted)
child 0, achternaam: string
child 1, geboortedatum: string
child 2, geboorteland: string
child 3, geboorteplaats: string
child 4, geslacht: string
child 5, huisnummer: string
child 6, nationaliteit: string
child 7, postcode: string
child 8, record_id: string
child 9, straatnaam: string
child 10, tussenvoegsel: string
child 11, verblijfstitel: string
child 12, voornamen: string
child 13, woonplaats: string
child 10, task_name: string
family: string
primitive: string
row_id: string
status: string
task_name: string
successful_rows: int64
schema_version: string
files: struct<raw.jsonl: string, summary.json: string>
child 0, raw.jsonl: string
child 1, summary.json: string
error_rows: int64
requested_rows: int64
to
{'error_rows': Value('int64'), 'files': {'raw.jsonl': Value('string'), 'summary.json': Value('string')}, 'requested_rows': Value('int64'), 'schema_version': Value('string'), 'successful_rows': Value('int64')}
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
candidate_count: int64
domain: string
error: string
error_type: string
example: struct<candidates: list<item: struct<description: string, id: string, label: string, ordinal_value: (... 1725 chars omitted)
child 0, candidates: list<item: struct<description: string, id: string, label: string, ordinal_value: null>>
child 0, item: struct<description: string, id: string, label: string, ordinal_value: null>
child 0, description: string
child 1, id: string
child 2, label: string
child 3, ordinal_value: null
child 1, domain: string
child 2, family: string
child 3, gold_candidate_id: string
child 4, gold_probabilities: list<item: double>
child 0, item: double
child 5, instruction: string
child 6, primitive: string
child 7, row_id: string
child 8, source: struct<decisionbench_paraphrase_v2: struct<generator_attempt: int64, minimal_normalization_applied: (... 1104 chars omitted)
child 0, decisionbench_paraphrase_v2: struct<generator_attempt: int64, minimal_normalization_applied: bool, model: string, parent_dataset_ (... 148 chars omitted)
child 0, generator_attempt: int64
child 1, minimal_normalization_applied: bool
child 2, model: string
child 3, parent_dataset_sha256: string
child 4, parent_row_sha256: string
child 5, prompt_config_sha256: string
child 6, reasoning_enabled: bool
child 7, schema_version: string
child 8,
...
child 13, woonplaats: string
child 3, stratum: string
child 3, raw_sha256: string
child 4, revision: string
child 5, source_ids: list<item: string>
child 0, item: string
child 6, split: string
child 4, source_line: int64
child 5, state_format: string
child 9, state: struct<query_record: struct<achternaam: string, geboortedatum: string, geboorteland: string, geboort (... 221 chars omitted)
child 0, query_record: struct<achternaam: string, geboortedatum: string, geboorteland: string, geboorteplaats: string, gesl (... 199 chars omitted)
child 0, achternaam: string
child 1, geboortedatum: string
child 2, geboorteland: string
child 3, geboorteplaats: string
child 4, geslacht: string
child 5, huisnummer: string
child 6, nationaliteit: string
child 7, postcode: string
child 8, record_id: string
child 9, straatnaam: string
child 10, tussenvoegsel: string
child 11, verblijfstitel: string
child 12, voornamen: string
child 13, woonplaats: string
child 10, task_name: string
family: string
primitive: string
row_id: string
status: string
task_name: string
successful_rows: int64
schema_version: string
files: struct<raw.jsonl: string, summary.json: string>
child 0, raw.jsonl: string
child 1, summary.json: string
error_rows: int64
requested_rows: int64
to
{'error_rows': Value('int64'), 'files': {'raw.jsonl': Value('string'), 'summary.json': Value('string')}, 'requested_rows': Value('int64'), 'schema_version': Value('string'), 'successful_rows': Value('int64')}
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.
imajev-4b DecisionBench 1.0 runs (row-level artifacts)
Complete row-level outputs of the DecisionBench 1.0 (Hanno-Labs/decision-bench, dataset revision b7c8107e) runs submitted to the
results registry, kept as reproducibility evidence (--artifact-uri). Each folder holds the harness's raw.jsonl, summary.json
and manifest.json exactly as written by decision-bench run-system-one-http.
| folder | model revision | run |
|---|---|---|
imajev-4b-1.0-712891d1/ |
mohit67890/imajev-4b @ 712891d1192c6491441a19bdea254d8a6e1048d0 |
2026-09-24, 1×H100, 3 servers, --max-candidates 254, 4 rotations + calibration.json |
imajev-4b-phase3-r2-s000291/ |
mohit67890/imajev-4b phase-3 adapter (sha256 88c2c443…) |
2026-09-26, 8×H100, 32 servers, --max-candidates 255, --max-input-tokens 65536, 4 rotations + calibration-rot4.json |
Code: https://github.com/mohit67890/imajev (results/benchmarks/decisionbench/).
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