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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
mean_entropy_per_token: struct<non: double, head: double, cont: double>
child 0, non: double
child 1, head: double
child 2, cont: double
mean_entropy_per_merge: struct<cont: double, head: double, n_merges: int64>
child 0, cont: double
child 1, head: double
child 2, n_merges: int64
reduction_by_len: struct<2: double, 3: double, 4: double, 5: double, 6: double>
child 0, 2: double
child 1, 3: double
child 2, 4: double
child 3, 5: double
child 4, 6: double
counts: struct<head: int64, cont: int64, non: int64>
child 0, head: int64
child 1, cont: int64
child 2, non: int64
rho: double
per_merge: struct<248722: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>, 248495: s (... 68114 chars omitted)
child 0, 248722: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 1, 248495: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 2, 248942: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 3, 248329: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
...
head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 808, 248985: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 809, 249105: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 810, 248576: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 811, 248377: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
verdict: struct<ok: bool, reasons: list<item: string>, rho: double>
child 0, ok: bool
child 1, reasons: list<item: string>
child 0, item: string
child 2, rho: double
version: int64
stage: string
created: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
to
{'stage': Value('string'), 'version': Value('int64'), 'created': Value('string'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'bytes': 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 2840, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
for key, pa_table in self._iter_arrow():
~~~~~~~~~~~~~~~~^^
File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 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
mean_entropy_per_token: struct<non: double, head: double, cont: double>
child 0, non: double
child 1, head: double
child 2, cont: double
mean_entropy_per_merge: struct<cont: double, head: double, n_merges: int64>
child 0, cont: double
child 1, head: double
child 2, n_merges: int64
reduction_by_len: struct<2: double, 3: double, 4: double, 5: double, 6: double>
child 0, 2: double
child 1, 3: double
child 2, 4: double
child 3, 5: double
child 4, 6: double
counts: struct<head: int64, cont: int64, non: int64>
child 0, head: int64
child 1, cont: int64
child 2, non: int64
rho: double
per_merge: struct<248722: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>, 248495: s (... 68114 chars omitted)
child 0, 248722: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 1, 248495: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 2, 248942: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 3, 248329: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
...
head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 808, 248985: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 809, 249105: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 810, 248576: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
child 811, 248377: struct<cont_mean: double, head_mean: double, n_cont: int64, n_head: int64>
child 0, cont_mean: double
child 1, head_mean: double
child 2, n_cont: int64
child 3, n_head: int64
verdict: struct<ok: bool, reasons: list<item: string>, rho: double>
child 0, ok: bool
child 1, reasons: list<item: string>
child 0, item: string
child 2, rho: double
version: int64
stage: string
created: string
files: list<item: struct<path: string, sha256: string, bytes: int64>>
child 0, item: struct<path: string, sha256: string, bytes: int64>
child 0, path: string
child 1, sha256: string
child 2, bytes: int64
to
{'stage': Value('string'), 'version': Value('int64'), 'created': Value('string'), 'files': List({'path': Value('string'), 'sha256': Value('string'), 'bytes': 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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