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Discovery Execution Framework for Mathematical Reasoning • 4 items • Updated • 1
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
output_tokens: int64
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
complete: bool
checkpoints: struct<1x: struct<correctness: struct<score: int64>>, 2x: struct<correctness: struct<score: int64>>, (... 282 chars omitted)
child 0, 1x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 1, 2x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 2, 3x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 3, 4x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 4, 5x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 5, 6x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 6, 7x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 7, 8x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
to
{'output_tokens': Value('int64'), 'complete': Value('bool'), 'checkpoints': {'1x': {'correctness': {'score': Value('int64')}}, '2x': {'correctness': {'score': Value('int64')}}, '3x': {'correctness': {'score': Value('int64')}}, '4x': {'correctness': {'score': Value('int64')}}, '5x': {'correctness': {'score': Value('int64')}}, '6x': {'correctness': {'score': Value('int64')}}, '7x': {'correctness': {'score': Value('int64')}}, '8x': {'correctness': {'score': 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 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
output_tokens: int64
messages: list<item: struct<role: string, content: string>>
child 0, item: struct<role: string, content: string>
child 0, role: string
child 1, content: string
complete: bool
checkpoints: struct<1x: struct<correctness: struct<score: int64>>, 2x: struct<correctness: struct<score: int64>>, (... 282 chars omitted)
child 0, 1x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 1, 2x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 2, 3x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 3, 4x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 4, 5x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 5, 6x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 6, 7x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
child 7, 8x: struct<correctness: struct<score: int64>>
child 0, correctness: struct<score: int64>
child 0, score: int64
to
{'output_tokens': Value('int64'), 'complete': Value('bool'), 'checkpoints': {'1x': {'correctness': {'score': Value('int64')}}, '2x': {'correctness': {'score': Value('int64')}}, '3x': {'correctness': {'score': Value('int64')}}, '4x': {'correctness': {'score': Value('int64')}}, '5x': {'correctness': {'score': Value('int64')}}, '6x': {'correctness': {'score': Value('int64')}}, '7x': {'correctness': {'score': Value('int64')}}, '8x': {'correctness': {'score': 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.