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Duplicate
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
conversation_id: string
messages: list<item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, name: str (... 841 chars omitted)
  child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, name: string, argume (... 829 chars omitted)
      child 0, role: string
      child 1, content: string
      child 2, tool_calls: list<item: struct<id: string, name: string, arguments: struct<city: string, origin: string, destinat (... 756 chars omitted)
          child 0, item: struct<id: string, name: string, arguments: struct<city: string, origin: string, destination: string (... 744 chars omitted)
              child 0, id: string
              child 1, name: string
              child 2, arguments: struct<city: string, origin: string, destination: string, date: timestamp[s], max_price: int64, mode (... 699 chars omitted)
                  child 0, city: string
                  child 1, origin: string
                  child 2, destination: string
                  child 3, date: timestamp[s]
                  child 4, max_price: int64
                  child 5, mode: string
                  child 6, checkin: timestamp[s]
                  child 7, checkout: timestamp[s]
                  child 8, notes: string
                  child 9, passengers: int64
                  child 10, stars: int64
                  child 11, timezone: string
                  child 12, unit: string
                  child 13, symbol: st
...
hild 0, type: string
                  child 1, description: string
              child 41, query: struct<type: string, description: string>
                  child 0, type: string
                  child 1, description: string
              child 42, safe_search: struct<type: string, description: string, default: bool>
                  child 0, type: string
                  child 1, description: string
                  child 2, default: bool
              child 43, keyword: struct<type: string, description: string>
                  child 0, type: string
                  child 1, description: string
              child 44, limit: struct<type: string, description: string, default: int64>
                  child 0, type: string
                  child 1, description: string
                  child 2, default: int64
          child 2, required: list<item: string>
              child 0, item: string
sources: list<item: struct<source: string, repo_id: string, entries_in_file: int64, declared_in_readme: int64 (... 100 chars omitted)
  child 0, item: struct<source: string, repo_id: string, entries_in_file: int64, declared_in_readme: int64, count_mis (... 88 chars omitted)
      child 0, source: string
      child 1, repo_id: string
      child 2, entries_in_file: int64
      child 3, declared_in_readme: int64
      child 4, count_mismatch: bool
      child 5, dropped_no_tool_call: int64
      child 6, dropped_duplicate: int64
      child 7, entries_kept: int64
total_kept: int64
to
{'sources': List({'source': Value('string'), 'repo_id': Value('string'), 'entries_in_file': Value('int64'), 'declared_in_readme': Value('int64'), 'count_mismatch': Value('bool'), 'dropped_no_tool_call': Value('int64'), 'dropped_duplicate': Value('int64'), 'entries_kept': Value('int64')}), 'total_kept': Value('int64')}
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
              conversation_id: string
              messages: list<item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, name: str (... 841 chars omitted)
                child 0, item: struct<role: string, content: string, tool_calls: list<item: struct<id: string, name: string, argume (... 829 chars omitted)
                    child 0, role: string
                    child 1, content: string
                    child 2, tool_calls: list<item: struct<id: string, name: string, arguments: struct<city: string, origin: string, destinat (... 756 chars omitted)
                        child 0, item: struct<id: string, name: string, arguments: struct<city: string, origin: string, destination: string (... 744 chars omitted)
                            child 0, id: string
                            child 1, name: string
                            child 2, arguments: struct<city: string, origin: string, destination: string, date: timestamp[s], max_price: int64, mode (... 699 chars omitted)
                                child 0, city: string
                                child 1, origin: string
                                child 2, destination: string
                                child 3, date: timestamp[s]
                                child 4, max_price: int64
                                child 5, mode: string
                                child 6, checkin: timestamp[s]
                                child 7, checkout: timestamp[s]
                                child 8, notes: string
                                child 9, passengers: int64
                                child 10, stars: int64
                                child 11, timezone: string
                                child 12, unit: string
                                child 13, symbol: st
              ...
              hild 0, type: string
                                child 1, description: string
                            child 41, query: struct<type: string, description: string>
                                child 0, type: string
                                child 1, description: string
                            child 42, safe_search: struct<type: string, description: string, default: bool>
                                child 0, type: string
                                child 1, description: string
                                child 2, default: bool
                            child 43, keyword: struct<type: string, description: string>
                                child 0, type: string
                                child 1, description: string
                            child 44, limit: struct<type: string, description: string, default: int64>
                                child 0, type: string
                                child 1, description: string
                                child 2, default: int64
                        child 2, required: list<item: string>
                            child 0, item: string
              sources: list<item: struct<source: string, repo_id: string, entries_in_file: int64, declared_in_readme: int64 (... 100 chars omitted)
                child 0, item: struct<source: string, repo_id: string, entries_in_file: int64, declared_in_readme: int64, count_mis (... 88 chars omitted)
                    child 0, source: string
                    child 1, repo_id: string
                    child 2, entries_in_file: int64
                    child 3, declared_in_readme: int64
                    child 4, count_mismatch: bool
                    child 5, dropped_no_tool_call: int64
                    child 6, dropped_duplicate: int64
                    child 7, entries_kept: int64
              total_kept: int64
              to
              {'sources': List({'source': Value('string'), 'repo_id': Value('string'), 'entries_in_file': Value('int64'), 'declared_in_readme': Value('int64'), 'count_mismatch': Value('bool'), 'dropped_no_tool_call': Value('int64'), 'dropped_duplicate': Value('int64'), 'entries_kept': Value('int64')}), 'total_kept': Value('int64')}
              because column names don't match

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