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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
position: string
report_generated_at: timestamp[s]
summary: struct<total: int64, shortlisted: int64, considered: int64, rejected: int64>
child 0, total: int64
child 1, shortlisted: int64
child 2, considered: int64
child 3, rejected: int64
decisions: list<item: struct<candidate_id: string, name: string, decision: string, reason: string>>
child 0, item: struct<candidate_id: string, name: string, decision: string, reason: string>
child 0, candidate_id: string
child 1, name: string
child 2, decision: string
child 3, reason: string
job: struct<title: string, annual_budget: int64, required_skill: string>
child 0, title: string
child 1, annual_budget: int64
child 2, required_skill: string
generated_at: string
candidates: list<item: struct<candidate_id: string, name: string, email: string, years_experience: int64, primar (... 224 chars omitted)
child 0, item: struct<candidate_id: string, name: string, email: string, years_experience: int64, primary_skill: st (... 212 chars omitted)
child 0, candidate_id: string
child 1, name: string
child 2, email: string
child 3, years_experience: int64
child 4, primary_skill: string
child 5, secondary_skills: list<item: string>
child 0, item: string
child 6, current_title: string
child 7, current_company: string
child 8, location: string
child 9, education_level: string
child 10, expected_salary: int64
child 11, availability: string
child 12, status: string
child 13, source: string
to
{'job': {'title': Value('string'), 'annual_budget': Value('int64'), 'required_skill': Value('string')}, 'generated_at': Value('string'), 'candidates': List({'candidate_id': Value('string'), 'name': Value('string'), 'email': Value('string'), 'years_experience': Value('int64'), 'primary_skill': Value('string'), 'secondary_skills': List(Value('string')), 'current_title': Value('string'), 'current_company': Value('string'), 'location': Value('string'), 'education_level': Value('string'), 'expected_salary': Value('int64'), 'availability': Value('string'), 'status': Value('string'), 'source': Value('string')})}
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
position: string
report_generated_at: timestamp[s]
summary: struct<total: int64, shortlisted: int64, considered: int64, rejected: int64>
child 0, total: int64
child 1, shortlisted: int64
child 2, considered: int64
child 3, rejected: int64
decisions: list<item: struct<candidate_id: string, name: string, decision: string, reason: string>>
child 0, item: struct<candidate_id: string, name: string, decision: string, reason: string>
child 0, candidate_id: string
child 1, name: string
child 2, decision: string
child 3, reason: string
job: struct<title: string, annual_budget: int64, required_skill: string>
child 0, title: string
child 1, annual_budget: int64
child 2, required_skill: string
generated_at: string
candidates: list<item: struct<candidate_id: string, name: string, email: string, years_experience: int64, primar (... 224 chars omitted)
child 0, item: struct<candidate_id: string, name: string, email: string, years_experience: int64, primary_skill: st (... 212 chars omitted)
child 0, candidate_id: string
child 1, name: string
child 2, email: string
child 3, years_experience: int64
child 4, primary_skill: string
child 5, secondary_skills: list<item: string>
child 0, item: string
child 6, current_title: string
child 7, current_company: string
child 8, location: string
child 9, education_level: string
child 10, expected_salary: int64
child 11, availability: string
child 12, status: string
child 13, source: string
to
{'job': {'title': Value('string'), 'annual_budget': Value('int64'), 'required_skill': Value('string')}, 'generated_at': Value('string'), 'candidates': List({'candidate_id': Value('string'), 'name': Value('string'), 'email': Value('string'), 'years_experience': Value('int64'), 'primary_skill': Value('string'), 'secondary_skills': List(Value('string')), 'current_title': Value('string'), 'current_company': Value('string'), 'location': Value('string'), 'education_level': Value('string'), 'expected_salary': Value('int64'), 'availability': Value('string'), 'status': Value('string'), 'source': 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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