Datasets:
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
$schema: string
$id: string
title: string
type: string
required: list<item: string>
child 0, item: string
additionalProperties: bool
properties: struct<id: struct<type: string>, input: struct<type: string>, expected_answer_contains: struct<type: (... 209 chars omitted)
child 0, id: struct<type: string>
child 0, type: string
child 1, input: struct<type: string>
child 0, type: string
child 2, expected_answer_contains: struct<type: string, items: struct<type: string>>
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 3, rubric: struct<type: string>
child 0, type: string
child 4, tags: struct<type: string, items: struct<type: string>>
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 5, source: struct<type: string>
child 0, type: string
child 6, gate: struct<type: string, enum: list<item: string>>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
id: string
input: string
tags: list<item: string>
child 0, item: string
rubric: string
source: string
gate: string
expected_answer_contains: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'input': Value('string'), 'expected_answer_contains': List(Value('string')), 'rubric': Value('string'), 'tags': List(Value('string')), 'source': Value('string'), 'gate': 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 2951, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
for key, pa_table in iterator:
^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
$schema: string
$id: string
title: string
type: string
required: list<item: string>
child 0, item: string
additionalProperties: bool
properties: struct<id: struct<type: string>, input: struct<type: string>, expected_answer_contains: struct<type: (... 209 chars omitted)
child 0, id: struct<type: string>
child 0, type: string
child 1, input: struct<type: string>
child 0, type: string
child 2, expected_answer_contains: struct<type: string, items: struct<type: string>>
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 3, rubric: struct<type: string>
child 0, type: string
child 4, tags: struct<type: string, items: struct<type: string>>
child 0, type: string
child 1, items: struct<type: string>
child 0, type: string
child 5, source: struct<type: string>
child 0, type: string
child 6, gate: struct<type: string, enum: list<item: string>>
child 0, type: string
child 1, enum: list<item: string>
child 0, item: string
id: string
input: string
tags: list<item: string>
child 0, item: string
rubric: string
source: string
gate: string
expected_answer_contains: list<item: string>
child 0, item: string
to
{'id': Value('string'), 'input': Value('string'), 'expected_answer_contains': List(Value('string')), 'rubric': Value('string'), 'tags': List(Value('string')), 'source': Value('string'), 'gate': 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.
pi-flywheel-eval
Synthetic held-out promotion-gate examples. Inputs are not verbatim duplicates of the canned seed.
Files
| File | Description |
|---|---|
eval_heldout.jsonl |
Gate rows with rubrics |
eval_heldout.schema.json |
JSON Schema |
Gate usage
Before promoting adapters or expanding the canned map from train jobs:
- Run held-out prompts (this set).
- Run canned regression separately.
- Optional decontamination overlap check vs train shards.
- Promote only if green — activate for pi4 only.
PII
Synthetic only.
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