Datasets:

---

Simone4401

/

checkpoint

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
additional_special_tokens: list<item: string>
  child 0, item: string
bos_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
  child 0, content: string
  child 1, lstrip: bool
  child 2, normalized: bool
  child 3, rstrip: bool
  child 4, single_word: bool
eos_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
  child 0, content: string
  child 1, lstrip: bool
  child 2, normalized: bool
  child 3, rstrip: bool
  child 4, single_word: bool
pad_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
  child 0, content: string
  child 1, lstrip: bool
  child 2, normalized: bool
  child 3, rstrip: bool
  child 4, single_word: bool
unk_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
  child 0, content: string
  child 1, lstrip: bool
  child 2, normalized: bool
  child 3, rstrip: bool
  child 4, single_word: bool
arrow_config: null
ensure_weight_tying: bool
loftq_config: struct<>
exclude_modules: null
fan_in_fan_out: bool
lora_alpha: int64
bias: string
eva_config: null
inference_mode: bool
alpha_pattern: struct<>
layer_replication: null
init_lora_weights: bool
rank_pattern: struct<>
peft_type: string
corda_config: null
lora_bias: bool
megatron_core: string
alora_invocation_tokens: null
modules_to_save: null
layers_to_transform: null
use_rslora: bool
lora_dropout: double
use_dora: bool
task_type: string
target_modules: list<item: string>
  child 0, item: string
base_model_name_or_path: string
r: int64
target_parameters: null
megatron_config: null
qalora_group_size: int64
revision: null
peft_version: string
use_qalora: bool
layers_pattern: null
auto_mapping: null
trainable_token_indices: null
to
{'alora_invocation_tokens': Value('null'), 'alpha_pattern': {}, 'arrow_config': Value('null'), 'auto_mapping': Value('null'), 'base_model_name_or_path': Value('string'), 'bias': Value('string'), 'corda_config': Value('null'), 'ensure_weight_tying': Value('bool'), 'eva_config': Value('null'), 'exclude_modules': Value('null'), 'fan_in_fan_out': Value('bool'), 'inference_mode': Value('bool'), 'init_lora_weights': Value('bool'), 'layer_replication': Value('null'), 'layers_pattern': Value('null'), 'layers_to_transform': Value('null'), 'loftq_config': {}, 'lora_alpha': Value('int64'), 'lora_bias': Value('bool'), 'lora_dropout': Value('float64'), 'megatron_config': Value('null'), 'megatron_core': Value('string'), 'modules_to_save': Value('null'), 'peft_type': Value('string'), 'peft_version': Value('string'), 'qalora_group_size': Value('int64'), 'r': Value('int64'), 'rank_pattern': {}, 'revision': Value('null'), 'target_modules': List(Value('string')), 'target_parameters': Value('null'), 'task_type': Value('string'), 'trainable_token_indices': Value('null'), 'use_dora': Value('bool'), 'use_qalora': Value('bool'), 'use_rslora': Value('bool')}
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 2690, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2227, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2251, 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 494, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 384, 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 289, 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 124, 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 2272, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2218, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              additional_special_tokens: list<item: string>
                child 0, item: string
              bos_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
                child 0, content: string
                child 1, lstrip: bool
                child 2, normalized: bool
                child 3, rstrip: bool
                child 4, single_word: bool
              eos_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
                child 0, content: string
                child 1, lstrip: bool
                child 2, normalized: bool
                child 3, rstrip: bool
                child 4, single_word: bool
              pad_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
                child 0, content: string
                child 1, lstrip: bool
                child 2, normalized: bool
                child 3, rstrip: bool
                child 4, single_word: bool
              unk_token: struct<content: string, lstrip: bool, normalized: bool, rstrip: bool, single_word: bool>
                child 0, content: string
                child 1, lstrip: bool
                child 2, normalized: bool
                child 3, rstrip: bool
                child 4, single_word: bool
              arrow_config: null
              ensure_weight_tying: bool
              loftq_config: struct<>
              exclude_modules: null
              fan_in_fan_out: bool
              lora_alpha: int64
              bias: string
              eva_config: null
              inference_mode: bool
              alpha_pattern: struct<>
              layer_replication: null
              init_lora_weights: bool
              rank_pattern: struct<>
              peft_type: string
              corda_config: null
              lora_bias: bool
              megatron_core: string
              alora_invocation_tokens: null
              modules_to_save: null
              layers_to_transform: null
              use_rslora: bool
              lora_dropout: double
              use_dora: bool
              task_type: string
              target_modules: list<item: string>
                child 0, item: string
              base_model_name_or_path: string
              r: int64
              target_parameters: null
              megatron_config: null
              qalora_group_size: int64
              revision: null
              peft_version: string
              use_qalora: bool
              layers_pattern: null
              auto_mapping: null
              trainable_token_indices: null
              to
              {'alora_invocation_tokens': Value('null'), 'alpha_pattern': {}, 'arrow_config': Value('null'), 'auto_mapping': Value('null'), 'base_model_name_or_path': Value('string'), 'bias': Value('string'), 'corda_config': Value('null'), 'ensure_weight_tying': Value('bool'), 'eva_config': Value('null'), 'exclude_modules': Value('null'), 'fan_in_fan_out': Value('bool'), 'inference_mode': Value('bool'), 'init_lora_weights': Value('bool'), 'layer_replication': Value('null'), 'layers_pattern': Value('null'), 'layers_to_transform': Value('null'), 'loftq_config': {}, 'lora_alpha': Value('int64'), 'lora_bias': Value('bool'), 'lora_dropout': Value('float64'), 'megatron_config': Value('null'), 'megatron_core': Value('string'), 'modules_to_save': Value('null'), 'peft_type': Value('string'), 'peft_version': Value('string'), 'qalora_group_size': Value('int64'), 'r': Value('int64'), 'rank_pattern': {}, 'revision': Value('null'), 'target_modules': List(Value('string')), 'target_parameters': Value('null'), 'task_type': Value('string'), 'trainable_token_indices': Value('null'), 'use_dora': Value('bool'), 'use_qalora': Value('bool'), 'use_rslora': Value('bool')}
              because column names don't match