Datasets:

temsa
/

office-holder-policy-holdout-v3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
source: string
rows: int64
languages: struct<en: int64, ga: int64>
  child 0, en: int64
  child 1, ga: int64
note: string
query_type: string
domain: string
candidates: list<item: struct<id: string, text: string, relevance: double, kind: string, category: string, candi (... 18 chars omitted)
  child 0, item: struct<id: string, text: string, relevance: double, kind: string, category: string, candidate_url: s (... 6 chars omitted)
      child 0, id: string
      child 1, text: string
      child 2, relevance: double
      child 3, kind: string
      child 4, category: string
      child 5, candidate_url: string
language: string
id: string
query: string
to
{'id': Value('string'), 'query': Value('string'), 'language': Value('string'), 'source': Value('string'), 'domain': Value('string'), 'query_type': Value('string'), 'candidates': List({'id': Value('string'), 'text': Value('string'), 'relevance': Value('float64'), 'kind': Value('string'), 'category': Value('string'), 'candidate_url': Value('string')})}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2674, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2208, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2232, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 483, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 260, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 120, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              source: string
              rows: int64
              languages: struct<en: int64, ga: int64>
                child 0, en: int64
                child 1, ga: int64
              note: string
              query_type: string
              domain: string
              candidates: list<item: struct<id: string, text: string, relevance: double, kind: string, category: string, candi (... 18 chars omitted)
                child 0, item: struct<id: string, text: string, relevance: double, kind: string, category: string, candidate_url: s (... 6 chars omitted)
                    child 0, id: string
                    child 1, text: string
                    child 2, relevance: double
                    child 3, kind: string
                    child 4, category: string
                    child 5, candidate_url: string
              language: string
              id: string
              query: string
              to
              {'id': Value('string'), 'query': Value('string'), 'language': Value('string'), 'source': Value('string'), 'domain': Value('string'), 'query_type': Value('string'), 'candidates': List({'id': Value('string'), 'text': Value('string'), 'relevance': Value('float64'), 'kind': Value('string'), 'category': Value('string'), 'candidate_url': Value('string')})}
              because column names don't match

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office-holder-policy-holdout-v3

Fresh serving-like office-holder identity holdout with explicit current-status phrasing.

Files:

reranker_office_holder_policy_holdout_v3.jsonl

Downloads last month: 3

Models trained or fine-tuned on temsa/office-holder-policy-holdout-v3