Datasets:

---

Yoshiyusuf

/

temp-output

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_from_model_config: bool
bos_token_id: int64
eos_token_id: int64
output_attentions: bool
output_hidden_states: bool
transformers_version: string
use_cache: bool
tie_word_embeddings: bool
dtype: string
pad_token_id: null
reorder_and_upcast_attn: bool
n_embd: int64
attn_pdrop: double
n_positions: int64
embd_pdrop: double
resid_pdrop: double
layer_norm_epsilon: double
summary_first_dropout: double
scale_attn_weights: bool
activation_function: string
model_type: string
summary_activation: null
scale_attn_by_inverse_layer_idx: bool
summary_proj_to_labels: bool
summary_use_proj: bool
n_inner: null
vocab_size: int64
n_head: int64
n_layer: int64
initializer_range: double
architectures: list<item: string>
  child 0, item: string
summary_type: string
add_cross_attention: bool
to
{'activation_function': Value('string'), 'add_cross_attention': Value('bool'), 'architectures': List(Value('string')), 'attn_pdrop': Value('float64'), 'bos_token_id': Value('int64'), 'dtype': Value('string'), 'embd_pdrop': Value('float64'), 'eos_token_id': Value('int64'), 'initializer_range': Value('float64'), 'layer_norm_epsilon': Value('float64'), 'model_type': Value('string'), 'n_embd': Value('int64'), 'n_head': Value('int64'), 'n_inner': Value('null'), 'n_layer': Value('int64'), 'n_positions': Value('int64'), 'pad_token_id': Value('null'), 'reorder_and_upcast_attn': Value('bool'), 'resid_pdrop': Value('float64'), 'scale_attn_by_inverse_layer_idx': Value('bool'), 'scale_attn_weights': Value('bool'), 'summary_activation': Value('null'), 'summary_first_dropout': Value('float64'), 'summary_proj_to_labels': Value('bool'), 'summary_type': Value('string'), 'summary_use_proj': Value('bool'), 'tie_word_embeddings': Value('bool'), 'transformers_version': Value('string'), 'use_cache': Value('bool'), 'vocab_size': 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
              _from_model_config: bool
              bos_token_id: int64
              eos_token_id: int64
              output_attentions: bool
              output_hidden_states: bool
              transformers_version: string
              use_cache: bool
              tie_word_embeddings: bool
              dtype: string
              pad_token_id: null
              reorder_and_upcast_attn: bool
              n_embd: int64
              attn_pdrop: double
              n_positions: int64
              embd_pdrop: double
              resid_pdrop: double
              layer_norm_epsilon: double
              summary_first_dropout: double
              scale_attn_weights: bool
              activation_function: string
              model_type: string
              summary_activation: null
              scale_attn_by_inverse_layer_idx: bool
              summary_proj_to_labels: bool
              summary_use_proj: bool
              n_inner: null
              vocab_size: int64
              n_head: int64
              n_layer: int64
              initializer_range: double
              architectures: list<item: string>
                child 0, item: string
              summary_type: string
              add_cross_attention: bool
              to
              {'activation_function': Value('string'), 'add_cross_attention': Value('bool'), 'architectures': List(Value('string')), 'attn_pdrop': Value('float64'), 'bos_token_id': Value('int64'), 'dtype': Value('string'), 'embd_pdrop': Value('float64'), 'eos_token_id': Value('int64'), 'initializer_range': Value('float64'), 'layer_norm_epsilon': Value('float64'), 'model_type': Value('string'), 'n_embd': Value('int64'), 'n_head': Value('int64'), 'n_inner': Value('null'), 'n_layer': Value('int64'), 'n_positions': Value('int64'), 'pad_token_id': Value('null'), 'reorder_and_upcast_attn': Value('bool'), 'resid_pdrop': Value('float64'), 'scale_attn_by_inverse_layer_idx': Value('bool'), 'scale_attn_weights': Value('bool'), 'summary_activation': Value('null'), 'summary_first_dropout': Value('float64'), 'summary_proj_to_labels': Value('bool'), 'summary_type': Value('string'), 'summary_use_proj': Value('bool'), 'tie_word_embeddings': Value('bool'), 'transformers_version': Value('string'), 'use_cache': Value('bool'), 'vocab_size': Value('int64')}
              because column names don't match