Datasets:

---

julianszere

/

lls-complexity

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
version: string
truncation: null
padding: null
added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
  child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool,  (... 14 chars omitted)
      child 0, id: int64
      child 1, content: string
      child 2, single_word: bool
      child 3, lstrip: bool
      child 4, rstrip: bool
      child 5, normalized: bool
      child 6, special: bool
normalizer: null
pre_tokenizer: struct<type: string, add_prefix_space: bool, trim_offsets: bool, use_regex: bool>
  child 0, type: string
  child 1, add_prefix_space: bool
  child 2, trim_offsets: bool
  child 3, use_regex: bool
post_processor: struct<type: string, single: list<item: struct<Sequence: struct<id: string, type_id: int64>>>, pair: (... 92 chars omitted)
  child 0, type: string
  child 1, single: list<item: struct<Sequence: struct<id: string, type_id: int64>>>
      child 0, item: struct<Sequence: struct<id: string, type_id: int64>>
          child 0, Sequence: struct<id: string, type_id: int64>
              child 0, id: string
              child 1, type_id: int64
  child 2, pair: list<item: struct<Sequence: struct<id: string, type_id: int64>>>
      child 0, item: struct<Sequence: struct<id: string, type_id: int64>>
          child 0, Sequence: struct<id: string, type_id: int64>
              child 0, id: string
              child 1, type
...
t|>: int64
      child 100265, <|im_end|>: int64
      child 100266, <|extra_id_1|>: int64
      child 100267, <|extra_id_2|>: int64
      child 100268, <|extra_id_3|>: int64
      child 100269, <|extra_id_4|>: int64
      child 100270, <|extra_id_5|>: int64
      child 100271, <|extra_id_6|>: int64
      child 100272, <|extra_id_7|>: int64
      child 100273, <|extra_id_8|>: int64
      child 100274, <|extra_id_9|>: int64
      child 100275, <|extra_id_10|>: int64
      child 100276, <|endofprompt|>: int64
      child 100277, <|pad|>: int64
  child 9, merges: list<item: list<item: string>>
      child 0, item: list<item: string>
          child 0, item: string
corda_config: null
megatron_core: string
inference_mode: bool
layer_replication: null
use_qalora: bool
target_modules: list<item: string>
  child 0, item: string
qalora_group_size: int64
alpha_pattern: struct<>
lora_bias: bool
task_type: string
layers_to_transform: null
peft_version: string
r: int64
ensure_weight_tying: bool
exclude_modules: null
fan_in_fan_out: bool
lora_ga_config: null
use_bdlora: null
megatron_config: null
auto_mapping: null
base_model_name_or_path: string
rank_pattern: struct<>
alora_invocation_tokens: null
use_rslora: bool
lora_alpha: int64
loftq_config: struct<>
trainable_token_indices: null
revision: null
init_lora_weights: bool
modules_to_save: null
layers_pattern: null
lora_dropout: double
use_dora: bool
eva_config: null
arrow_config: null
peft_type: string
target_parameters: null
bias: string
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'), 'lora_ga_config': Value('null'), '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_bdlora': 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 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 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, 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 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, 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
              version: string
              truncation: null
              padding: null
              added_tokens: list<item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normali (... 26 chars omitted)
                child 0, item: struct<id: int64, content: string, single_word: bool, lstrip: bool, rstrip: bool, normalized: bool,  (... 14 chars omitted)
                    child 0, id: int64
                    child 1, content: string
                    child 2, single_word: bool
                    child 3, lstrip: bool
                    child 4, rstrip: bool
                    child 5, normalized: bool
                    child 6, special: bool
              normalizer: null
              pre_tokenizer: struct<type: string, add_prefix_space: bool, trim_offsets: bool, use_regex: bool>
                child 0, type: string
                child 1, add_prefix_space: bool
                child 2, trim_offsets: bool
                child 3, use_regex: bool
              post_processor: struct<type: string, single: list<item: struct<Sequence: struct<id: string, type_id: int64>>>, pair: (... 92 chars omitted)
                child 0, type: string
                child 1, single: list<item: struct<Sequence: struct<id: string, type_id: int64>>>
                    child 0, item: struct<Sequence: struct<id: string, type_id: int64>>
                        child 0, Sequence: struct<id: string, type_id: int64>
                            child 0, id: string
                            child 1, type_id: int64
                child 2, pair: list<item: struct<Sequence: struct<id: string, type_id: int64>>>
                    child 0, item: struct<Sequence: struct<id: string, type_id: int64>>
                        child 0, Sequence: struct<id: string, type_id: int64>
                            child 0, id: string
                            child 1, type
              ...
              t|>: int64
                    child 100265, <|im_end|>: int64
                    child 100266, <|extra_id_1|>: int64
                    child 100267, <|extra_id_2|>: int64
                    child 100268, <|extra_id_3|>: int64
                    child 100269, <|extra_id_4|>: int64
                    child 100270, <|extra_id_5|>: int64
                    child 100271, <|extra_id_6|>: int64
                    child 100272, <|extra_id_7|>: int64
                    child 100273, <|extra_id_8|>: int64
                    child 100274, <|extra_id_9|>: int64
                    child 100275, <|extra_id_10|>: int64
                    child 100276, <|endofprompt|>: int64
                    child 100277, <|pad|>: int64
                child 9, merges: list<item: list<item: string>>
                    child 0, item: list<item: string>
                        child 0, item: string
              corda_config: null
              megatron_core: string
              inference_mode: bool
              layer_replication: null
              use_qalora: bool
              target_modules: list<item: string>
                child 0, item: string
              qalora_group_size: int64
              alpha_pattern: struct<>
              lora_bias: bool
              task_type: string
              layers_to_transform: null
              peft_version: string
              r: int64
              ensure_weight_tying: bool
              exclude_modules: null
              fan_in_fan_out: bool
              lora_ga_config: null
              use_bdlora: null
              megatron_config: null
              auto_mapping: null
              base_model_name_or_path: string
              rank_pattern: struct<>
              alora_invocation_tokens: null
              use_rslora: bool
              lora_alpha: int64
              loftq_config: struct<>
              trainable_token_indices: null
              revision: null
              init_lora_weights: bool
              modules_to_save: null
              layers_pattern: null
              lora_dropout: double
              use_dora: bool
              eva_config: null
              arrow_config: null
              peft_type: string
              target_parameters: null
              bias: string
              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'), 'lora_ga_config': Value('null'), '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_bdlora': Value('null'), 'use_dora': Value('bool'), 'use_qalora': Value('bool'), 'use_rslora': Value('bool')}
              because column names don't match