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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
healthcare: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
  child 0, agent: string
  child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
      child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
          child 0, id: string
          child 1, title: string
          child 2, title_en: string
          child 3, gap: string
          child 4, dataset: string
          child 5, methodology: string
          child 6, expected_contribution: string
          child 7, target_journal: string
          child 8, target_conference: string
          child 9, references: list<item: string>
              child 0, item: string
          child 10, timeline_months: int64
          child 11, difficulty: string
environment: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
  child 0, agent: string
  child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
      child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
          child 0, id: string
          child 1, title: string
          child 2,
...
  child 3, conferences: list<item: string>
          child 0, item: string
      child 4, research_gaps: list<item: string>
          child 0, item: string
  child 5, biology: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
      child 0, agent_name: string
      child 1, expertise: string
      child 2, journals: list<item: string>
          child 0, item: string
      child 3, conferences: list<item: string>
          child 0, item: string
      child 4, research_gaps: list<item: string>
          child 0, item: string
  child 6, finance: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
      child 0, agent_name: string
      child 1, expertise: string
      child 2, journals: list<item: string>
          child 0, item: string
      child 3, conferences: list<item: string>
          child 0, item: string
      child 4, research_gaps: list<item: string>
          child 0, item: string
  child 7, agriculture: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
      child 0, agent_name: string
      child 1, expertise: string
      child 2, journals: list<item: string>
          child 0, item: string
      child 3, conferences: list<item: string>
          child 0, item: string
      child 4, research_gaps: list<item: string>
          child 0, item: string
to
{'timestamp': Value('string'), 'total_agents': Value('int64'), 'total_journals': Value('int64'), 'total_research_gaps': Value('int64'), 'agents': {'healthcare': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'environment': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'social_sciences': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'computer_science': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'engineering': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'biology': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'finance': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'agriculture': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(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
              healthcare: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
                child 0, agent: string
                child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
                    child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
                        child 0, id: string
                        child 1, title: string
                        child 2, title_en: string
                        child 3, gap: string
                        child 4, dataset: string
                        child 5, methodology: string
                        child 6, expected_contribution: string
                        child 7, target_journal: string
                        child 8, target_conference: string
                        child 9, references: list<item: string>
                            child 0, item: string
                        child 10, timeline_months: int64
                        child 11, difficulty: string
              environment: struct<agent: string, proposals: list<item: struct<id: string, title: string, title_en: string, gap: (... 206 chars omitted)
                child 0, agent: string
                child 1, proposals: list<item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodo (... 172 chars omitted)
                    child 0, item: struct<id: string, title: string, title_en: string, gap: string, dataset: string, methodology: strin (... 160 chars omitted)
                        child 0, id: string
                        child 1, title: string
                        child 2,
              ...
                child 3, conferences: list<item: string>
                        child 0, item: string
                    child 4, research_gaps: list<item: string>
                        child 0, item: string
                child 5, biology: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
                    child 0, agent_name: string
                    child 1, expertise: string
                    child 2, journals: list<item: string>
                        child 0, item: string
                    child 3, conferences: list<item: string>
                        child 0, item: string
                    child 4, research_gaps: list<item: string>
                        child 0, item: string
                child 6, finance: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
                    child 0, agent_name: string
                    child 1, expertise: string
                    child 2, journals: list<item: string>
                        child 0, item: string
                    child 3, conferences: list<item: string>
                        child 0, item: string
                    child 4, research_gaps: list<item: string>
                        child 0, item: string
                child 7, agriculture: struct<agent_name: string, expertise: string, journals: list<item: string>, conferences: list<item:  (... 43 chars omitted)
                    child 0, agent_name: string
                    child 1, expertise: string
                    child 2, journals: list<item: string>
                        child 0, item: string
                    child 3, conferences: list<item: string>
                        child 0, item: string
                    child 4, research_gaps: list<item: string>
                        child 0, item: string
              to
              {'timestamp': Value('string'), 'total_agents': Value('int64'), 'total_journals': Value('int64'), 'total_research_gaps': Value('int64'), 'agents': {'healthcare': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'environment': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'social_sciences': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'computer_science': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'engineering': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'biology': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'finance': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}, 'agriculture': {'agent_name': Value('string'), 'expertise': Value('string'), 'journals': List(Value('string')), 'conferences': List(Value('string')), 'research_gaps': List(Value('string'))}}}
              because column names don't match

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