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
counts: struct<by_task: struct<agentic-terminal: int64, function-calling: int64>, total: int64>
child 0, by_task: struct<agentic-terminal: int64, function-calling: int64>
child 0, agentic-terminal: int64
child 1, function-calling: int64
child 1, total: int64
dataset: string
file: string
language: string
note: string
version: string
messages: null
difficulty: string
enable_thinking: bool
metadata: struct<author: string, quality_tier: string, source: string, verification_status: string>
child 0, author: string
child 1, quality_tier: string
child 2, source: string
child 3, verification_status: string
id: string
task: string
to
{'difficulty': Value('string'), 'enable_thinking': Value('bool'), 'id': Value('string'), 'language': Value('string'), 'messages': List(Json(decode=True)), 'metadata': {'author': Value('string'), 'quality_tier': Value('string'), 'source': Value('string'), 'verification_status': Value('string')}, 'task': Value('string'), 'version': 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
counts: struct<by_task: struct<agentic-terminal: int64, function-calling: int64>, total: int64>
child 0, by_task: struct<agentic-terminal: int64, function-calling: int64>
child 0, agentic-terminal: int64
child 1, function-calling: int64
child 1, total: int64
dataset: string
file: string
language: string
note: string
version: string
messages: null
difficulty: string
enable_thinking: bool
metadata: struct<author: string, quality_tier: string, source: string, verification_status: string>
child 0, author: string
child 1, quality_tier: string
child 2, source: string
child 3, verification_status: string
id: string
task: string
to
{'difficulty': Value('string'), 'enable_thinking': Value('bool'), 'id': Value('string'), 'language': Value('string'), 'messages': List(Json(decode=True)), 'metadata': {'author': Value('string'), 'quality_tier': Value('string'), 'source': Value('string'), 'verification_status': Value('string')}, 'task': Value('string'), 'version': 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.
agentmujo-confirmation (v0.1.0)
Višeturni confirmation obrasci: model pita (uz posljedice) prije rizične akcije i djeluje tek nakon eksplicitne potvrde. Sigurnosna politika je iznad korisničke naredbe (uključuje uzorak gdje korisnik zabranjuje pitanja).
- Uzoraka: 20 (10 function-calling + 10 agentic-terminal)
- Format: JSONL, kanonska schema,
<think>procjene rizika. - Kvalitet: 20/20 ACCEPT, human-reviewed.
- Licenca: Apache-2.0. Bez ličnih podataka, bez tajni.
- Downloads last month
- 21