Datasets:

---

clemenschen

/

sft_alpaca2sharegpt

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
_from_model_config: bool
bos_token_id: int64
eos_token_id: int64
transformers_version: string
summary_first_dropout: double
model_type: string
activation_function: string
architectures: list<item: string>
  child 0, item: string
attn_pdrop: double
summary_proj_to_labels: bool
layer_norm_epsilon: double
summary_activation: null
n_positions: int64
n_ctx: int64
resid_pdrop: double
n_layer: int64
task_specific_params: struct<conversational: struct<max_length: int64>>
  child 0, conversational: struct<max_length: int64>
      child 0, max_length: int64
initializer_range: double
summary_use_proj: bool
summary_type: string
vocab_size: int64
embd_pdrop: double
n_head: int64
n_embd: int64
to
{'activation_function': Value('string'), 'architectures': List(Value('string')), 'attn_pdrop': Value('float64'), 'bos_token_id': Value('int64'), 'embd_pdrop': Value('float64'), 'eos_token_id': Value('int64'), 'initializer_range': Value('float64'), 'layer_norm_epsilon': Value('float64'), 'model_type': Value('string'), 'n_ctx': Value('int64'), 'n_embd': Value('int64'), 'n_head': Value('int64'), 'n_layer': Value('int64'), 'n_positions': Value('int64'), 'resid_pdrop': Value('float64'), 'summary_activation': Value('null'), 'summary_first_dropout': Value('float64'), 'summary_proj_to_labels': Value('bool'), 'summary_type': Value('string'), 'summary_use_proj': Value('bool'), 'task_specific_params': {'conversational': {'max_length': Value('int64')}}, '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 99, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 77, in get_rows
                  rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
                                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              _from_model_config: bool
              bos_token_id: int64
              eos_token_id: int64
              transformers_version: string
              summary_first_dropout: double
              model_type: string
              activation_function: string
              architectures: list<item: string>
                child 0, item: string
              attn_pdrop: double
              summary_proj_to_labels: bool
              layer_norm_epsilon: double
              summary_activation: null
              n_positions: int64
              n_ctx: int64
              resid_pdrop: double
              n_layer: int64
              task_specific_params: struct<conversational: struct<max_length: int64>>
                child 0, conversational: struct<max_length: int64>
                    child 0, max_length: int64
              initializer_range: double
              summary_use_proj: bool
              summary_type: string
              vocab_size: int64
              embd_pdrop: double
              n_head: int64
              n_embd: int64
              to
              {'activation_function': Value('string'), 'architectures': List(Value('string')), 'attn_pdrop': Value('float64'), 'bos_token_id': Value('int64'), 'embd_pdrop': Value('float64'), 'eos_token_id': Value('int64'), 'initializer_range': Value('float64'), 'layer_norm_epsilon': Value('float64'), 'model_type': Value('string'), 'n_ctx': Value('int64'), 'n_embd': Value('int64'), 'n_head': Value('int64'), 'n_layer': Value('int64'), 'n_positions': Value('int64'), 'resid_pdrop': Value('float64'), 'summary_activation': Value('null'), 'summary_first_dropout': Value('float64'), 'summary_proj_to_labels': Value('bool'), 'summary_type': Value('string'), 'summary_use_proj': Value('bool'), 'task_specific_params': {'conversational': {'max_length': Value('int64')}}, 'vocab_size': Value('int64')}
              because column names don't match