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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
version: string
truncation: null
padding: null
added_tokens: list<item: struct<id: int64, special: bool, content: string, single_word: bool, lstrip: bool, rstrip (... 26 chars omitted)
  child 0, item: struct<id: int64, special: bool, content: string, single_word: bool, lstrip: bool, rstrip: bool, nor (... 14 chars omitted)
      child 0, id: int64
      child 1, special: bool
      child 2, content: string
      child 3, single_word: bool
      child 4, lstrip: bool
      child 5, rstrip: bool
      child 6, normalized: bool
normalizer: struct<type: string, clean_text: bool, handle_chinese_chars: bool, strip_accents: null, lowercase: b (... 4 chars omitted)
  child 0, type: string
  child 1, clean_text: bool
  child 2, handle_chinese_chars: bool
  child 3, strip_accents: null
  child 4, lowercase: bool
pre_tokenizer: struct<type: string>
  child 0, type: string
post_processor: struct<type: string, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Seq (... 348 chars omitted)
  child 0, type: string
  child 1, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, typ (... 14 chars omitted)
      child 0, item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, type_id: int64 (... 2 chars omitted)
          child 0, SpecialToken: struct<id: string, type_id: int64>
              child 0, id: string
              child 1, type_id: int64
          child 1, Sequence: stru
...
nt64
      child 21099, ##w: int64
      child 21100, ##z: int64
      child 21101, ##{: int64
      child 21102, ##}: int64
      child 21103, ##。: int64
      child 21104, ##「: int64
      child 21105, ##」: int64
      child 21106, ##、: int64
      child 21107, ##・: int64
      child 21108, ##ッ: int64
      child 21109, ##ー: int64
      child 21110, ##イ: int64
      child 21111, ##ク: int64
      child 21112, ##シ: int64
      child 21113, ##ス: int64
      child 21114, ##ト: int64
      child 21115, ##ノ: int64
      child 21116, ##フ: int64
      child 21117, ##ラ: int64
      child 21118, ##ル: int64
      child 21119, ##ン: int64
      child 21120, ##゙: int64
      child 21121, ##゚: int64
      child 21122, ## ̄: int64
      child 21123, ##¥: int64
      child 21124, ##👍: int64
      child 21125, ##🔥: int64
      child 21126, ##😂: int64
      child 21127, ##😎: int64
pooler_type: string
pooler_fc_size: int64
pooler_num_attention_heads: int64
add_cross_attention: bool
hidden_dropout_prob: double
directionality: string
vocab_size: int64
pad_token_id: int64
model_type: string
hidden_size: int64
attention_probs_dropout_prob: double
max_position_embeddings: int64
initializer_range: double
intermediate_size: int64
pooler_num_fc_layers: int64
layer_norm_eps: double
hidden_act: string
architectures: list<item: string>
  child 0, item: string
type_vocab_size: int64
num_attention_heads: int64
encoder_width: int64
num_hidden_layers: int64
add_type_embeddings: bool
pooler_size_per_head: int64
to
{'architectures': List(Value('string')), 'attention_probs_dropout_prob': Value('float64'), 'directionality': Value('string'), 'hidden_act': Value('string'), 'hidden_dropout_prob': Value('float64'), 'hidden_size': Value('int64'), 'initializer_range': Value('float64'), 'intermediate_size': Value('int64'), 'layer_norm_eps': Value('float64'), 'max_position_embeddings': Value('int64'), 'model_type': Value('string'), 'num_attention_heads': Value('int64'), 'num_hidden_layers': Value('int64'), 'pad_token_id': Value('int64'), 'pooler_fc_size': Value('int64'), 'pooler_num_attention_heads': Value('int64'), 'pooler_num_fc_layers': Value('int64'), 'pooler_size_per_head': Value('int64'), 'pooler_type': Value('string'), 'type_vocab_size': Value('int64'), 'vocab_size': Value('int64'), 'add_type_embeddings': Value('bool'), 'encoder_width': Value('int64'), 'add_cross_attention': Value('bool')}
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 478, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              version: string
              truncation: null
              padding: null
              added_tokens: list<item: struct<id: int64, special: bool, content: string, single_word: bool, lstrip: bool, rstrip (... 26 chars omitted)
                child 0, item: struct<id: int64, special: bool, content: string, single_word: bool, lstrip: bool, rstrip: bool, nor (... 14 chars omitted)
                    child 0, id: int64
                    child 1, special: bool
                    child 2, content: string
                    child 3, single_word: bool
                    child 4, lstrip: bool
                    child 5, rstrip: bool
                    child 6, normalized: bool
              normalizer: struct<type: string, clean_text: bool, handle_chinese_chars: bool, strip_accents: null, lowercase: b (... 4 chars omitted)
                child 0, type: string
                child 1, clean_text: bool
                child 2, handle_chinese_chars: bool
                child 3, strip_accents: null
                child 4, lowercase: bool
              pre_tokenizer: struct<type: string>
                child 0, type: string
              post_processor: struct<type: string, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Seq (... 348 chars omitted)
                child 0, type: string
                child 1, single: list<item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, typ (... 14 chars omitted)
                    child 0, item: struct<SpecialToken: struct<id: string, type_id: int64>, Sequence: struct<id: string, type_id: int64 (... 2 chars omitted)
                        child 0, SpecialToken: struct<id: string, type_id: int64>
                            child 0, id: string
                            child 1, type_id: int64
                        child 1, Sequence: stru
              ...
              nt64
                    child 21099, ##w: int64
                    child 21100, ##z: int64
                    child 21101, ##{: int64
                    child 21102, ##}: int64
                    child 21103, ##。: int64
                    child 21104, ##「: int64
                    child 21105, ##」: int64
                    child 21106, ##、: int64
                    child 21107, ##・: int64
                    child 21108, ##ッ: int64
                    child 21109, ##ー: int64
                    child 21110, ##イ: int64
                    child 21111, ##ク: int64
                    child 21112, ##シ: int64
                    child 21113, ##ス: int64
                    child 21114, ##ト: int64
                    child 21115, ##ノ: int64
                    child 21116, ##フ: int64
                    child 21117, ##ラ: int64
                    child 21118, ##ル: int64
                    child 21119, ##ン: int64
                    child 21120, ##゙: int64
                    child 21121, ##゚: int64
                    child 21122, ## ̄: int64
                    child 21123, ##¥: int64
                    child 21124, ##👍: int64
                    child 21125, ##🔥: int64
                    child 21126, ##😂: int64
                    child 21127, ##😎: int64
              pooler_type: string
              pooler_fc_size: int64
              pooler_num_attention_heads: int64
              add_cross_attention: bool
              hidden_dropout_prob: double
              directionality: string
              vocab_size: int64
              pad_token_id: int64
              model_type: string
              hidden_size: int64
              attention_probs_dropout_prob: double
              max_position_embeddings: int64
              initializer_range: double
              intermediate_size: int64
              pooler_num_fc_layers: int64
              layer_norm_eps: double
              hidden_act: string
              architectures: list<item: string>
                child 0, item: string
              type_vocab_size: int64
              num_attention_heads: int64
              encoder_width: int64
              num_hidden_layers: int64
              add_type_embeddings: bool
              pooler_size_per_head: int64
              to
              {'architectures': List(Value('string')), 'attention_probs_dropout_prob': Value('float64'), 'directionality': Value('string'), 'hidden_act': Value('string'), 'hidden_dropout_prob': Value('float64'), 'hidden_size': Value('int64'), 'initializer_range': Value('float64'), 'intermediate_size': Value('int64'), 'layer_norm_eps': Value('float64'), 'max_position_embeddings': Value('int64'), 'model_type': Value('string'), 'num_attention_heads': Value('int64'), 'num_hidden_layers': Value('int64'), 'pad_token_id': Value('int64'), 'pooler_fc_size': Value('int64'), 'pooler_num_attention_heads': Value('int64'), 'pooler_num_fc_layers': Value('int64'), 'pooler_size_per_head': Value('int64'), 'pooler_type': Value('string'), 'type_vocab_size': Value('int64'), 'vocab_size': Value('int64'), 'add_type_embeddings': Value('bool'), 'encoder_width': Value('int64'), 'add_cross_attention': Value('bool')}
              because column names don't match

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