Dataset Viewer
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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
id: string
dataset: string
direction: string
question_language: string
answer_language: string
messages: list<item: struct<role: string, content: string>>
  child 0, item: struct<role: string, content: string>
      child 0, role: string
      child 1, content: string
rows: int64
release_version: string
source_dataset: string
prompt_normalization: struct<scope: string, removed: list<item: string>, trailing_periods_removed: bool, repeated_question (... 85 chars omitted)
  child 0, scope: string
  child 1, removed: list<item: string>
      child 0, item: string
  child 2, trailing_periods_removed: bool
  child 3, repeated_question_marks_collapsed: bool
  child 4, assistant_messages_unchanged: bool
  child 5, metadata_unchanged: bool
to
{'release_version': Value('string'), 'source_dataset': Value('string'), 'rows': Value('int64'), 'prompt_normalization': {'scope': Value('string'), 'removed': List(Value('string')), 'trailing_periods_removed': Value('bool'), 'repeated_question_marks_collapsed': Value('bool'), 'assistant_messages_unchanged': Value('bool'), 'metadata_unchanged': Value('bool')}}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              id: string
              dataset: string
              direction: string
              question_language: string
              answer_language: string
              messages: list<item: struct<role: string, content: string>>
                child 0, item: struct<role: string, content: string>
                    child 0, role: string
                    child 1, content: string
              rows: int64
              release_version: string
              source_dataset: string
              prompt_normalization: struct<scope: string, removed: list<item: string>, trailing_periods_removed: bool, repeated_question (... 85 chars omitted)
                child 0, scope: string
                child 1, removed: list<item: string>
                    child 0, item: string
                child 2, trailing_periods_removed: bool
                child 3, repeated_question_marks_collapsed: bool
                child 4, assistant_messages_unchanged: bool
                child 5, metadata_unchanged: bool
              to
              {'release_version': Value('string'), 'source_dataset': Value('string'), 'rows': Value('int64'), 'prompt_normalization': {'scope': Value('string'), 'removed': List(Value('string')), 'trailing_periods_removed': Value('bool'), 'repeated_question_marks_collapsed': Value('bool'), 'assistant_messages_unchanged': Value('bool'), 'metadata_unchanged': Value('bool')}}
              because column names don't match

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SmolTalk Multilingue — Version 25K

Copie versionnée des exports JSONL aux prompts utilisateur normalisés.

  • Exemples : 9284
  • Version de publication : v25k
  • Ce dépôt est public.

Normalisation

La ponctuation des messages user a été normalisée. Les messages assistant et les métadonnées sont conservés à l’identique.

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