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
example_id: int64
prompt: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
completion: list<item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, type: str (... 80 chars omitted)
child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, type: string, functi (... 68 chars omitted)
child 0, role: string
child 1, content: string
child 2, tool_calls: list<item: struct<id: string, type: string, function: struct<name: string, arguments: string>>>
child 0, item: struct<id: string, type: string, function: struct<name: string, arguments: string>>
child 0, id: string
child 1, type: string
child 2, function: struct<name: string, arguments: string>
child 0, name: string
child 1, arguments: string
child 3, tool_call_id: string
info: struct<task_id: string, task_name: string, rollout_name: string, environment: string, agent: string, (... 123 chars omitted)
child 0, task_id: string
child 1, task_name: string
child 2, rollout_name: string
child 3, environment: string
child 4, agent: string
child 5, agent_name: string
child 6, model: string
child 7, source: string
child 8, rollout_dir: string
child 9, training_ready: bool
child 10, training_ready_reason: null
reward: double
erro
...
ens: null
child 1, audio_tokens: null
child 2, reasoning_tokens: int64
child 3, rejected_prediction_tokens: null
child 4, text_tokens: int64
child 5, image_tokens: null
child 6, video_tokens: null
child 4, prompt_tokens_details: struct<audio_tokens: null, cache_write_tokens: null, cached_tokens: int64, text_tokens: int64, image (... 64 chars omitted)
child 0, audio_tokens: null
child 1, cache_write_tokens: null
child 2, cached_tokens: int64
child 3, text_tokens: int64
child 4, image_tokens: null
child 5, video_tokens: null
child 6, cache_creation_tokens: int64
child 5, cache_creation_input_tokens: int64
child 6, cache_read_input_tokens: int64
child 3, tokens: null
child 4, reward: double
child 5, advantage: double
child 6, is_truncated: bool
child 7, trajectory_id: string
child 8, extras: struct<source: string, tracking_source: string, exchange_index: int64>
child 0, source: string
child 1, tracking_source: string
child 2, exchange_index: int64
content: null
details: struct<task_id: string, environment: string, model: string>
child 0, task_id: string
child 1, environment: string
child 2, model: string
schema_version: string
id: string
to
{'schema_version': Value('string'), 'id': Value('string'), 'content': List(Json(decode=True)), 'details': {'task_id': Value('string'), 'environment': Value('string'), 'model': Value('string')}}
because column names don't match
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
return cast_table_to_schema(table, schema)
File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
raise CastError(
...<3 lines>...
)
datasets.table.CastError: Couldn't cast
example_id: int64
prompt: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
completion: list<item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, type: str (... 80 chars omitted)
child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, type: string, functi (... 68 chars omitted)
child 0, role: string
child 1, content: string
child 2, tool_calls: list<item: struct<id: string, type: string, function: struct<name: string, arguments: string>>>
child 0, item: struct<id: string, type: string, function: struct<name: string, arguments: string>>
child 0, id: string
child 1, type: string
child 2, function: struct<name: string, arguments: string>
child 0, name: string
child 1, arguments: string
child 3, tool_call_id: string
info: struct<task_id: string, task_name: string, rollout_name: string, environment: string, agent: string, (... 123 chars omitted)
child 0, task_id: string
child 1, task_name: string
child 2, rollout_name: string
child 3, environment: string
child 4, agent: string
child 5, agent_name: string
child 6, model: string
child 7, source: string
child 8, rollout_dir: string
child 9, training_ready: bool
child 10, training_ready_reason: null
reward: double
erro
...
ens: null
child 1, audio_tokens: null
child 2, reasoning_tokens: int64
child 3, rejected_prediction_tokens: null
child 4, text_tokens: int64
child 5, image_tokens: null
child 6, video_tokens: null
child 4, prompt_tokens_details: struct<audio_tokens: null, cache_write_tokens: null, cached_tokens: int64, text_tokens: int64, image (... 64 chars omitted)
child 0, audio_tokens: null
child 1, cache_write_tokens: null
child 2, cached_tokens: int64
child 3, text_tokens: int64
child 4, image_tokens: null
child 5, video_tokens: null
child 6, cache_creation_tokens: int64
child 5, cache_creation_input_tokens: int64
child 6, cache_read_input_tokens: int64
child 3, tokens: null
child 4, reward: double
child 5, advantage: double
child 6, is_truncated: bool
child 7, trajectory_id: string
child 8, extras: struct<source: string, tracking_source: string, exchange_index: int64>
child 0, source: string
child 1, tracking_source: string
child 2, exchange_index: int64
content: null
details: struct<task_id: string, environment: string, model: string>
child 0, task_id: string
child 1, environment: string
child 2, model: string
schema_version: string
id: string
to
{'schema_version': Value('string'), 'id': Value('string'), 'content': List(Json(decode=True)), 'details': {'task_id': Value('string'), 'environment': Value('string'), 'model': 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.
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