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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code: StreamingRowsError
Exception: CastError
Message: Couldn't cast
puzzle_id: int64
date: timestamp[s]
strata: string
solved: bool
groups_correct: int64
one_away: bool
invalid_format: bool
reward: double
latency_ms: double
n: int64
arm: string
n_resamples: int64
summary: struct<OVERALL: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_ (... 1010 chars omitted)
child 0, OVERALL: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 1, category: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 2, cultural: struct<solve_rate: list<item: double>, groups_correct: list<item: dou
...
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 4, wordplay: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 5, silent-letter: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
groups_correct_distribution: struct<0: int64, 1: int64, 2: int64, 3: int64, 4: int64>
child 0, 0: int64
child 1, 1: int64
child 2, 2: int64
child 3, 3: int64
child 4, 4: int64
to
{'arm': Value('string'), 'n': Value('int64'), 'n_resamples': Value('int64'), 'summary': {'OVERALL': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'category': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'cultural': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'tag-fillin': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'wordplay': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'silent-letter': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}}, 'groups_correct_distribution': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64')}}
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
puzzle_id: int64
date: timestamp[s]
strata: string
solved: bool
groups_correct: int64
one_away: bool
invalid_format: bool
reward: double
latency_ms: double
n: int64
arm: string
n_resamples: int64
summary: struct<OVERALL: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_ (... 1010 chars omitted)
child 0, OVERALL: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 1, category: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 2, cultural: struct<solve_rate: list<item: double>, groups_correct: list<item: dou
...
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 4, wordplay: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
child 5, silent-letter: struct<solve_rate: list<item: double>, groups_correct: list<item: double>, one_away_rate: list<item: (... 71 chars omitted)
child 0, solve_rate: list<item: double>
child 0, item: double
child 1, groups_correct: list<item: double>
child 0, item: double
child 2, one_away_rate: list<item: double>
child 0, item: double
child 3, invalid_rate: list<item: double>
child 0, item: double
child 4, reward: list<item: double>
child 0, item: double
groups_correct_distribution: struct<0: int64, 1: int64, 2: int64, 3: int64, 4: int64>
child 0, 0: int64
child 1, 1: int64
child 2, 2: int64
child 3, 3: int64
child 4, 4: int64
to
{'arm': Value('string'), 'n': Value('int64'), 'n_resamples': Value('int64'), 'summary': {'OVERALL': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'category': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'cultural': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'tag-fillin': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'wordplay': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}, 'silent-letter': {'solve_rate': List(Value('float64')), 'groups_correct': List(Value('float64')), 'one_away_rate': List(Value('float64')), 'invalid_rate': List(Value('float64')), 'reward': List(Value('float64'))}}, 'groups_correct_distribution': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64'), '3': Value('int64'), '4': Value('int64')}}
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