Datasets:

---

shenzhebei

/

Qwen-image-edit-lora

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
</tool_call>: int64
<tool_call>: int64
<|box_end|>: int64
<|box_start|>: int64
<|endoftext|>: int64
<|file_sep|>: int64
<|fim_middle|>: int64
<|fim_pad|>: int64
<|fim_prefix|>: int64
<|fim_suffix|>: int64
<|im_end|>: int64
<|im_start|>: int64
<|image_pad|>: int64
<|object_ref_end|>: int64
<|object_ref_start|>: int64
<|quad_end|>: int64
<|quad_start|>: int64
<|repo_name|>: int64
<|video_pad|>: int64
<|vision_end|>: int64
<|vision_pad|>: int64
<|vision_start|>: int64
_diffusers_version: string
text_encoder: list<item: string>
  child 0, item: string
_class_name: string
vae: list<item: string>
  child 0, item: string
_name_or_path: string
tokenizer: list<item: string>
  child 0, item: string
transformer: list<item: string>
  child 0, item: string
scheduler: list<item: string>
  child 0, item: string
processor: list<item: string>
  child 0, item: string
to
{'_class_name': Value('string'), '_diffusers_version': Value('string'), '_name_or_path': Value('string'), 'processor': List(Value('string')), 'scheduler': List(Value('string')), 'text_encoder': List(Value('string')), 'tokenizer': List(Value('string')), 'transformer': List(Value('string')), 'vae': List(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
              </tool_call>: int64
              <tool_call>: int64
              <|box_end|>: int64
              <|box_start|>: int64
              <|endoftext|>: int64
              <|file_sep|>: int64
              <|fim_middle|>: int64
              <|fim_pad|>: int64
              <|fim_prefix|>: int64
              <|fim_suffix|>: int64
              <|im_end|>: int64
              <|im_start|>: int64
              <|image_pad|>: int64
              <|object_ref_end|>: int64
              <|object_ref_start|>: int64
              <|quad_end|>: int64
              <|quad_start|>: int64
              <|repo_name|>: int64
              <|video_pad|>: int64
              <|vision_end|>: int64
              <|vision_pad|>: int64
              <|vision_start|>: int64
              _diffusers_version: string
              text_encoder: list<item: string>
                child 0, item: string
              _class_name: string
              vae: list<item: string>
                child 0, item: string
              _name_or_path: string
              tokenizer: list<item: string>
                child 0, item: string
              transformer: list<item: string>
                child 0, item: string
              scheduler: list<item: string>
                child 0, item: string
              processor: list<item: string>
                child 0, item: string
              to
              {'_class_name': Value('string'), '_diffusers_version': Value('string'), '_name_or_path': Value('string'), 'processor': List(Value('string')), 'scheduler': List(Value('string')), 'text_encoder': List(Value('string')), 'tokenizer': List(Value('string')), 'transformer': List(Value('string')), 'vae': List(Value('string'))}
              because column names don't match