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
choices: list<item: struct<finish_reason: string, index: int64, logprobs: null, message: struct<content: stri (... 73 chars omitted)
child 0, item: struct<finish_reason: string, index: int64, logprobs: null, message: struct<content: string, role: s (... 61 chars omitted)
child 0, finish_reason: string
child 1, index: int64
child 2, logprobs: null
child 3, message: struct<content: string, role: string, function_call: null, tool_calls: null, refusal: null>
child 0, content: string
child 1, role: string
child 2, function_call: null
child 3, tool_calls: null
child 4, refusal: null
model: string
object: string
usage: struct<completion_tokens: int64, prompt_tokens: int64, total_tokens: int64, completion_tokens_detail (... 35 chars omitted)
child 0, completion_tokens: int64
child 1, prompt_tokens: int64
child 2, total_tokens: int64
child 3, completion_tokens_details: struct<reasoning_tokens: int64>
child 0, reasoning_tokens: int64
request: struct<model: string, temperature: double, max_tokens: int64, top_p: int64, frequency_penalty: int64 (... 110 chars omitted)
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 3, top_p: int64
child 4, frequency_penalty: int64
child 5, presence_penalty: int64
child 6, n: int64
child 7, seed: int64
child 8, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
task_id: int64
relative_id: string
relation: string
prompt_input: struct<task_id: int64, messages: list<item: struct<role: string, content: string>>>
child 0, task_id: int64
child 1, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'choices': List({'finish_reason': Value('string'), 'index': Value('int64'), 'logprobs': Value('null'), 'message': {'content': Value('string'), 'role': Value('string'), 'function_call': Value('null'), 'tool_calls': Value('null'), 'refusal': Value('null')}}), 'model': Value('string'), 'object': Value('string'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': {'reasoning_tokens': Value('int64')}}, 'prompt_input': {'task_id': Value('int64'), 'messages': List({'role': Value('string'), 'content': Value('string')})}, 'relation': Value('string'), 'relative_id': 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
choices: list<item: struct<finish_reason: string, index: int64, logprobs: null, message: struct<content: stri (... 73 chars omitted)
child 0, item: struct<finish_reason: string, index: int64, logprobs: null, message: struct<content: string, role: s (... 61 chars omitted)
child 0, finish_reason: string
child 1, index: int64
child 2, logprobs: null
child 3, message: struct<content: string, role: string, function_call: null, tool_calls: null, refusal: null>
child 0, content: string
child 1, role: string
child 2, function_call: null
child 3, tool_calls: null
child 4, refusal: null
model: string
object: string
usage: struct<completion_tokens: int64, prompt_tokens: int64, total_tokens: int64, completion_tokens_detail (... 35 chars omitted)
child 0, completion_tokens: int64
child 1, prompt_tokens: int64
child 2, total_tokens: int64
child 3, completion_tokens_details: struct<reasoning_tokens: int64>
child 0, reasoning_tokens: int64
request: struct<model: string, temperature: double, max_tokens: int64, top_p: int64, frequency_penalty: int64 (... 110 chars omitted)
child 0, model: string
child 1, temperature: double
child 2, max_tokens: int64
child 3, top_p: int64
child 4, frequency_penalty: int64
child 5, presence_penalty: int64
child 6, n: int64
child 7, seed: int64
child 8, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
task_id: int64
relative_id: string
relation: string
prompt_input: struct<task_id: int64, messages: list<item: struct<role: string, content: string>>>
child 0, task_id: int64
child 1, messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
to
{'choices': List({'finish_reason': Value('string'), 'index': Value('int64'), 'logprobs': Value('null'), 'message': {'content': Value('string'), 'role': Value('string'), 'function_call': Value('null'), 'tool_calls': Value('null'), 'refusal': Value('null')}}), 'model': Value('string'), 'object': Value('string'), 'usage': {'completion_tokens': Value('int64'), 'prompt_tokens': Value('int64'), 'total_tokens': Value('int64'), 'completion_tokens_details': {'reasoning_tokens': Value('int64')}}, 'prompt_input': {'task_id': Value('int64'), 'messages': List({'role': Value('string'), 'content': Value('string')})}, 'relation': Value('string'), 'relative_id': 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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