Datasets:

---

donggcao18

/

CoSQA_Plus

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
text: string
query_text: string
numeric_id: string
url_based_id: string
source_query_id: int64
source_code_id: int64
source_pair_id: int64
label: int64
language: string
original: struct<hexsha: string, repo: string, path: string, identifier: string, parameters: list<item: struct (... 47 chars omitted)
  child 0, hexsha: string
  child 1, repo: string
  child 2, path: string
  child 3, identifier: string
  child 4, parameters: list<item: struct<param: string, type: null>>
      child 0, item: struct<param: string, type: null>
          child 0, param: string
          child 1, type: null
  child 5, language: string
join_column: string
final_test_positive_pairs_excluded: int64
validation_pairs: int64
train_query_ids: list<item: int64>
  child 0, item: int64
train_samples: int64
split_unit: string
validation_queries: int64
final_test_query_ids_excluded: list<item: int64>
  child 0, item: int64
prompt: string
validation_documents: int64
task: string
validation_query_ids: list<item: int64>
  child 0, item: int64
train_pairs: int64
validation_file_note: string
retrieval_train_queries: int64
document_overlap_allowed: bool
train_queries: int64
retrieval_train_positive_pairs: int64
dataset: string
omitted_train_query_ids: list<item: null>
  child 0, item: null
target_column: string
inputs: struct<retrieval_train: struct<path: string, sha256: string>, retrieval_test: struct<path: string, s (... 15 chars omitted)
  child 0, retrieval_train: struct<path: string, sha256: string>
      child 0, path: string
      child 1, sha256: string
  child 1, retrieval_test: struct<path: string, sha256: string>
      child 0, path: string
      child 1, sha256: string
protocol: string
final_test_queries_excluded: int64
validation_size: double
indexed_documents: int64
seed: int64
validation_samples: int64
all_final_test_positive_documents_indexed: bool
train_documents: int64
to
{'dataset': Value('string'), 'task': Value('string'), 'language': Value('string'), 'protocol': Value('string'), 'split_unit': Value('string'), 'seed': Value('int64'), 'validation_size': Value('float64'), 'prompt': Value('string'), 'join_column': Value('string'), 'target_column': Value('string'), 'indexed_documents': Value('int64'), 'retrieval_train_queries': Value('int64'), 'retrieval_train_positive_pairs': Value('int64'), 'final_test_queries_excluded': Value('int64'), 'final_test_positive_pairs_excluded': Value('int64'), 'final_test_query_ids_excluded': List(Value('int64')), 'all_final_test_positive_documents_indexed': Value('bool'), 'train_samples': Value('int64'), 'validation_samples': Value('int64'), 'train_query_ids': List(Value('int64')), 'validation_query_ids': List(Value('int64')), 'omitted_train_query_ids': List(Value('null')), 'train_queries': Value('int64'), 'validation_queries': Value('int64'), 'train_pairs': Value('int64'), 'validation_pairs': Value('int64'), 'train_documents': Value('int64'), 'validation_documents': Value('int64'), 'document_overlap_allowed': Value('bool'), 'validation_file_note': Value('string'), 'inputs': {'retrieval_train': {'path': Value('string'), 'sha256': Value('string')}, 'retrieval_test': {'path': Value('string'), 'sha256': 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              text: string
              query_text: string
              numeric_id: string
              url_based_id: string
              source_query_id: int64
              source_code_id: int64
              source_pair_id: int64
              label: int64
              language: string
              original: struct<hexsha: string, repo: string, path: string, identifier: string, parameters: list<item: struct (... 47 chars omitted)
                child 0, hexsha: string
                child 1, repo: string
                child 2, path: string
                child 3, identifier: string
                child 4, parameters: list<item: struct<param: string, type: null>>
                    child 0, item: struct<param: string, type: null>
                        child 0, param: string
                        child 1, type: null
                child 5, language: string
              join_column: string
              final_test_positive_pairs_excluded: int64
              validation_pairs: int64
              train_query_ids: list<item: int64>
                child 0, item: int64
              train_samples: int64
              split_unit: string
              validation_queries: int64
              final_test_query_ids_excluded: list<item: int64>
                child 0, item: int64
              prompt: string
              validation_documents: int64
              task: string
              validation_query_ids: list<item: int64>
                child 0, item: int64
              train_pairs: int64
              validation_file_note: string
              retrieval_train_queries: int64
              document_overlap_allowed: bool
              train_queries: int64
              retrieval_train_positive_pairs: int64
              dataset: string
              omitted_train_query_ids: list<item: null>
                child 0, item: null
              target_column: string
              inputs: struct<retrieval_train: struct<path: string, sha256: string>, retrieval_test: struct<path: string, s (... 15 chars omitted)
                child 0, retrieval_train: struct<path: string, sha256: string>
                    child 0, path: string
                    child 1, sha256: string
                child 1, retrieval_test: struct<path: string, sha256: string>
                    child 0, path: string
                    child 1, sha256: string
              protocol: string
              final_test_queries_excluded: int64
              validation_size: double
              indexed_documents: int64
              seed: int64
              validation_samples: int64
              all_final_test_positive_documents_indexed: bool
              train_documents: int64
              to
              {'dataset': Value('string'), 'task': Value('string'), 'language': Value('string'), 'protocol': Value('string'), 'split_unit': Value('string'), 'seed': Value('int64'), 'validation_size': Value('float64'), 'prompt': Value('string'), 'join_column': Value('string'), 'target_column': Value('string'), 'indexed_documents': Value('int64'), 'retrieval_train_queries': Value('int64'), 'retrieval_train_positive_pairs': Value('int64'), 'final_test_queries_excluded': Value('int64'), 'final_test_positive_pairs_excluded': Value('int64'), 'final_test_query_ids_excluded': List(Value('int64')), 'all_final_test_positive_documents_indexed': Value('bool'), 'train_samples': Value('int64'), 'validation_samples': Value('int64'), 'train_query_ids': List(Value('int64')), 'validation_query_ids': List(Value('int64')), 'omitted_train_query_ids': List(Value('null')), 'train_queries': Value('int64'), 'validation_queries': Value('int64'), 'train_pairs': Value('int64'), 'validation_pairs': Value('int64'), 'train_documents': Value('int64'), 'validation_documents': Value('int64'), 'document_overlap_allowed': Value('bool'), 'validation_file_note': Value('string'), 'inputs': {'retrieval_train': {'path': Value('string'), 'sha256': Value('string')}, 'retrieval_test': {'path': Value('string'), 'sha256': Value('string')}}}
              because column names don't match