Datasets:

---

dochoigianguyen

/

bao

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
output_dir: string
data_config: string
llm_name_or_path: string
audio_vocab_size: int64
audio_mask_id: int64
num_audio_codebook: int64
audio_codebook_weights: list<item: int64>
  child 0, item: int64
drop_cond_ratio: double
prompt_ratio_range: list<item: double>
  child 0, item: double
mask_ratio_range: list<item: double>
  child 0, item: double
language_ratio: double
use_pinyin_ratio: double
instruct_ratio: double
only_instruct_ratio: double
resume_from_checkpoint: null
init_from_checkpoint: string
learning_rate: double
weight_decay: double
max_grad_norm: double
steps: int64
seed: int64
lr_scheduler_type: string
warmup_type: string
warmup_ratio: double
warmup_steps: int64
batch_tokens: int64
gradient_accumulation_steps: int64
num_workers: int64
mixed_precision: string
allow_tf32: bool
use_deepspeed: bool
deepspeed_config: null
log_with: string
logging_steps: int64
eval_steps: int64
save_steps: int64
keep_last_n_checkpoints: int64
conversations: list<item: struct<from: string, value: string>>
  child 0, item: struct<from: string, value: string>
      child 0, from: string
      child 1, value: string
to
{'conversations': List({'from': Value('string'), 'value': Value('string')})}
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 299, 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 128, 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 2321, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2249, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              output_dir: string
              data_config: string
              llm_name_or_path: string
              audio_vocab_size: int64
              audio_mask_id: int64
              num_audio_codebook: int64
              audio_codebook_weights: list<item: int64>
                child 0, item: int64
              drop_cond_ratio: double
              prompt_ratio_range: list<item: double>
                child 0, item: double
              mask_ratio_range: list<item: double>
                child 0, item: double
              language_ratio: double
              use_pinyin_ratio: double
              instruct_ratio: double
              only_instruct_ratio: double
              resume_from_checkpoint: null
              init_from_checkpoint: string
              learning_rate: double
              weight_decay: double
              max_grad_norm: double
              steps: int64
              seed: int64
              lr_scheduler_type: string
              warmup_type: string
              warmup_ratio: double
              warmup_steps: int64
              batch_tokens: int64
              gradient_accumulation_steps: int64
              num_workers: int64
              mixed_precision: string
              allow_tf32: bool
              use_deepspeed: bool
              deepspeed_config: null
              log_with: string
              logging_steps: int64
              eval_steps: int64
              save_steps: int64
              keep_last_n_checkpoints: int64
              conversations: list<item: struct<from: string, value: string>>
                child 0, item: struct<from: string, value: string>
                    child 0, from: string
                    child 1, value: string
              to
              {'conversations': List({'from': Value('string'), 'value': Value('string')})}
              because column names don't match