Datasets:

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pharma-IA

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PharmaWise_6.0_DataIntegrity_logs

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Pharma.IA 13

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
timestamp: string
source: string
message: string
vector_references: list<item: struct<document_title: string, file_name: string, page_label: string, score: double>>
  child 0, item: struct<document_title: string, file_name: string, page_label: string, score: double>
      child 0, document_title: string
      child 1, file_name: string
      child 2, page_label: string
      child 3, score: double
traceability_id: string
kg_references: list<item: struct<document_title: string, file_name: string, page_label: string>>
  child 0, item: struct<document_title: string, file_name: string, page_label: string>
      child 0, document_title: string
      child 1, file_name: string
      child 2, page_label: string
references_count: int64
query: string
logged_at: string
references: list<item: struct<document_title: string, file_name: string, page_label: string, score: double>>
  child 0, item: struct<document_title: string, file_name: string, page_label: string, score: double>
      child 0, document_title: string
      child 1, file_name: string
      child 2, page_label: string
      child 3, score: double
groundedness: double
user_name: string
created_at: string
vector_references_count: int64
kg_references_count: int64
response: string
feedback: bool
source_keys: list<item: string>
  child 0, item: string
conversation_title: string
answer_relevance: double
context_relevance: double
context_nodes: list<item: struct<document_name: string, page_label: string, content: string>>
  child 0, item: struct<document_name: string, page_label: string, content: string>
      child 0, document_name: string
      child 1, page_label: string
      child 2, content: string
conversation_id: string
to
{'traceability_id': Value('string'), 'conversation_id': Value('string'), 'conversation_title': Value('string'), 'user_name': Value('string'), 'logged_at': Value('string'), 'created_at': Value('string'), 'query': Value('string'), 'response': Value('string'), 'feedback': Value('bool'), 'groundedness': Value('float64'), 'answer_relevance': Value('float64'), 'context_relevance': Value('float64'), 'references_count': Value('int64'), 'vector_references_count': Value('int64'), 'kg_references_count': Value('int64'), 'references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string'), 'score': Value('float64')}), 'vector_references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string'), 'score': Value('float64')}), 'kg_references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string')}), 'context_nodes': List({'document_name': Value('string'), 'page_label': Value('string'), 'content': Value('string')}), 'source_keys': List(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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, 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 295, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              timestamp: string
              source: string
              message: string
              vector_references: list<item: struct<document_title: string, file_name: string, page_label: string, score: double>>
                child 0, item: struct<document_title: string, file_name: string, page_label: string, score: double>
                    child 0, document_title: string
                    child 1, file_name: string
                    child 2, page_label: string
                    child 3, score: double
              traceability_id: string
              kg_references: list<item: struct<document_title: string, file_name: string, page_label: string>>
                child 0, item: struct<document_title: string, file_name: string, page_label: string>
                    child 0, document_title: string
                    child 1, file_name: string
                    child 2, page_label: string
              references_count: int64
              query: string
              logged_at: string
              references: list<item: struct<document_title: string, file_name: string, page_label: string, score: double>>
                child 0, item: struct<document_title: string, file_name: string, page_label: string, score: double>
                    child 0, document_title: string
                    child 1, file_name: string
                    child 2, page_label: string
                    child 3, score: double
              groundedness: double
              user_name: string
              created_at: string
              vector_references_count: int64
              kg_references_count: int64
              response: string
              feedback: bool
              source_keys: list<item: string>
                child 0, item: string
              conversation_title: string
              answer_relevance: double
              context_relevance: double
              context_nodes: list<item: struct<document_name: string, page_label: string, content: string>>
                child 0, item: struct<document_name: string, page_label: string, content: string>
                    child 0, document_name: string
                    child 1, page_label: string
                    child 2, content: string
              conversation_id: string
              to
              {'traceability_id': Value('string'), 'conversation_id': Value('string'), 'conversation_title': Value('string'), 'user_name': Value('string'), 'logged_at': Value('string'), 'created_at': Value('string'), 'query': Value('string'), 'response': Value('string'), 'feedback': Value('bool'), 'groundedness': Value('float64'), 'answer_relevance': Value('float64'), 'context_relevance': Value('float64'), 'references_count': Value('int64'), 'vector_references_count': Value('int64'), 'kg_references_count': Value('int64'), 'references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string'), 'score': Value('float64')}), 'vector_references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string'), 'score': Value('float64')}), 'kg_references': List({'document_title': Value('string'), 'file_name': Value('string'), 'page_label': Value('string')}), 'context_nodes': List({'document_name': Value('string'), 'page_label': Value('string'), 'content': Value('string')}), 'source_keys': List(Value('string'))}
              because column names don't match