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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
meta: struct<seed: string, superusers: int64, seed_users: int64, all_active: int64, activity_min_posts: in (... 66 chars omitted)
child 0, seed: string
child 1, superusers: int64
child 2, seed_users: int64
child 3, all_active: int64
child 4, activity_min_posts: int64
child 5, superuser_share: double
child 6, min_expected: int64
child 7, method: string
notable: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>
child 0, sub: string
child 1, n: int64
child 2, share: double
child 3, base: double
child 4, lift: double
child 5, solid: bool
rows: list<item: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>>
child 0, item: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>
child 0, sub: string
child 1, n: int64
child 2, share: double
child 3, base: double
child 4, lift: double
child 5, solid: bool
posts_per_active_month: double
relapsers: int64
returners: int64
break_months: double
active_months: double
relapse_rate: double
elsewhere_during_break: double
during_break: list<item: struct<sub: string, n: int64>>
child 0, item: struct<sub: string, n: int64>
child 0, sub: string
child 1, n: int64
breaks: int64
before_return: list<item: struct<sub: string, n: int64>>
child 0, item: struct<sub: string, n: int64>
child 0, sub: string
child 1, n: int64
tenure_months: double
to
{'meta': {'seed': Value('string'), 'users': Value('int64'), 'gap_months': Value('int64'), 'window_end': Value('string'), 'method': Value('string')}, 'tenure_months': Value('float64'), 'active_months': Value('float64'), 'posts_per_active_month': Value('float64'), 'relapsers': Value('int64'), 'relapse_rate': Value('float64'), 'breaks': Value('int64'), 'break_months': Value('float64'), 'returners': Value('int64'), 'elsewhere_during_break': Value('float64'), 'during_break': List({'sub': Value('string'), 'n': Value('int64')}), 'before_return': List({'sub': Value('string'), 'n': 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
meta: struct<seed: string, superusers: int64, seed_users: int64, all_active: int64, activity_min_posts: in (... 66 chars omitted)
child 0, seed: string
child 1, superusers: int64
child 2, seed_users: int64
child 3, all_active: int64
child 4, activity_min_posts: int64
child 5, superuser_share: double
child 6, min_expected: int64
child 7, method: string
notable: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>
child 0, sub: string
child 1, n: int64
child 2, share: double
child 3, base: double
child 4, lift: double
child 5, solid: bool
rows: list<item: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>>
child 0, item: struct<sub: string, n: int64, share: double, base: double, lift: double, solid: bool>
child 0, sub: string
child 1, n: int64
child 2, share: double
child 3, base: double
child 4, lift: double
child 5, solid: bool
posts_per_active_month: double
relapsers: int64
returners: int64
break_months: double
active_months: double
relapse_rate: double
elsewhere_during_break: double
during_break: list<item: struct<sub: string, n: int64>>
child 0, item: struct<sub: string, n: int64>
child 0, sub: string
child 1, n: int64
breaks: int64
before_return: list<item: struct<sub: string, n: int64>>
child 0, item: struct<sub: string, n: int64>
child 0, sub: string
child 1, n: int64
tenure_months: double
to
{'meta': {'seed': Value('string'), 'users': Value('int64'), 'gap_months': Value('int64'), 'window_end': Value('string'), 'method': Value('string')}, 'tenure_months': Value('float64'), 'active_months': Value('float64'), 'posts_per_active_month': Value('float64'), 'relapsers': Value('int64'), 'relapse_rate': Value('float64'), 'breaks': Value('int64'), 'break_months': Value('float64'), 'returners': Value('int64'), 'elsewhere_during_break': Value('float64'), 'during_break': List({'sub': Value('string'), 'n': Value('int64')}), 'before_return': List({'sub': Value('string'), 'n': 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.
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