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
schema_version: string
name: string
description: string
types: list<item: struct<id: string, name: string, subtypes: list<item: struct<id: string, name: string, de (... 21 chars omitted)
child 0, item: struct<id: string, name: string, subtypes: list<item: struct<id: string, name: string, description: (... 9 chars omitted)
child 0, id: string
child 1, name: string
child 2, subtypes: list<item: struct<id: string, name: string, description: string>>
child 0, item: struct<id: string, name: string, description: string>
child 0, id: string
child 1, name: string
child 2, description: string
source: struct<type: string, url: string>
child 0, type: string
child 1, url: string
problem_statement: string
version: string
benchmark: string
instance_id: string
image: struct<distribution: struct<digest: string, pull_reference: string, reference: string, type: string> (... 15 chars omitted)
child 0, distribution: struct<digest: string, pull_reference: string, reference: string, type: string>
child 0, digest: string
child 1, pull_reference: string
child 2, reference: string
child 3, type: string
child 1, name: string
task_type: string
software: struct<name: string, version: string>
child 0, name: string
child 1, version: string
to
{'benchmark': Value('string'), 'image': {'distribution': {'digest': Value('string'), 'pull_reference': Value('string'), 'reference': Value('string'), 'type': Value('string')}, 'name': Value('string')}, 'instance_id': Value('string'), 'problem_statement': Value('string'), 'software': {'name': Value('string'), 'version': Value('string')}, 'source': {'type': Value('string'), 'url': Value('string')}, 'task_type': Value('string'), 'version': Value('string')}
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
schema_version: string
name: string
description: string
types: list<item: struct<id: string, name: string, subtypes: list<item: struct<id: string, name: string, de (... 21 chars omitted)
child 0, item: struct<id: string, name: string, subtypes: list<item: struct<id: string, name: string, description: (... 9 chars omitted)
child 0, id: string
child 1, name: string
child 2, subtypes: list<item: struct<id: string, name: string, description: string>>
child 0, item: struct<id: string, name: string, description: string>
child 0, id: string
child 1, name: string
child 2, description: string
source: struct<type: string, url: string>
child 0, type: string
child 1, url: string
problem_statement: string
version: string
benchmark: string
instance_id: string
image: struct<distribution: struct<digest: string, pull_reference: string, reference: string, type: string> (... 15 chars omitted)
child 0, distribution: struct<digest: string, pull_reference: string, reference: string, type: string>
child 0, digest: string
child 1, pull_reference: string
child 2, reference: string
child 3, type: string
child 1, name: string
task_type: string
software: struct<name: string, version: string>
child 0, name: string
child 1, version: string
to
{'benchmark': Value('string'), 'image': {'distribution': {'digest': Value('string'), 'pull_reference': Value('string'), 'reference': Value('string'), 'type': Value('string')}, 'name': Value('string')}, 'instance_id': Value('string'), 'problem_statement': Value('string'), 'software': {'name': Value('string'), 'version': Value('string')}, 'source': {'type': Value('string'), 'url': Value('string')}, 'task_type': Value('string'), 'version': Value('string')}
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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