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
id: int64
subject: string
question: string
options: list<item: struct<text: string>>
child 0, item: struct<text: string>
child 0, text: string
answer: string
solution: string
topic: string
subtopic: string
totalQuestions: int64
schemaVersion: int64
corpusVersion: string
facets: struct<subjects: list<item: struct<value: string, count: int64>>>
child 0, subjects: list<item: struct<value: string, count: int64>>
child 0, item: struct<value: string, count: int64>
child 0, value: string
child 1, count: int64
classificationVersion: int64
rejectedQuestions: int64
database: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
excludedQuestions: int64
to
{'schemaVersion': Value('int64'), 'classificationVersion': Value('int64'), 'corpusVersion': Value('string'), 'totalQuestions': Value('int64'), 'excludedQuestions': Value('int64'), 'rejectedQuestions': Value('int64'), 'database': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'facets': {'subjects': List({'value': Value('string'), 'count': 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
id: int64
subject: string
question: string
options: list<item: struct<text: string>>
child 0, item: struct<text: string>
child 0, text: string
answer: string
solution: string
topic: string
subtopic: string
totalQuestions: int64
schemaVersion: int64
corpusVersion: string
facets: struct<subjects: list<item: struct<value: string, count: int64>>>
child 0, subjects: list<item: struct<value: string, count: int64>>
child 0, item: struct<value: string, count: int64>
child 0, value: string
child 1, count: int64
classificationVersion: int64
rejectedQuestions: int64
database: struct<file: string, bytes: int64, sha256: string>
child 0, file: string
child 1, bytes: int64
child 2, sha256: string
excludedQuestions: int64
to
{'schemaVersion': Value('int64'), 'classificationVersion': Value('int64'), 'corpusVersion': Value('string'), 'totalQuestions': Value('int64'), 'excludedQuestions': Value('int64'), 'rejectedQuestions': Value('int64'), 'database': {'file': Value('string'), 'bytes': Value('int64'), 'sha256': Value('string')}, 'facets': {'subjects': List({'value': Value('string'), 'count': 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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