Datasets:

---

YUHAN03

/

yelp-agent-assets

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
bos_token: string
cls_token: string
eos_token: string
mask_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: string
sep_token: string
unk_token: string
id2label: struct<0: string, 1: string, 2: string, 3: string, 4: string>
  child 0, 0: string
  child 1, 1: string
  child 2, 2: string
  child 3, 3: string
  child 4, 4: string
task_type: string
num_labels: int64
label2id: struct<1_star: int64, 2_star: int64, 3_star: int64, 4_star: int64, 5_star: int64>
  child 0, 1_star: int64
  child 1, 2_star: int64
  child 2, 3_star: int64
  child 3, 4_star: int64
  child 4, 5_star: int64
val_macro_f1: double
val_accuracy: double
model_name: string
to
{'id2label': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string')}, 'label2id': {'1_star': Value('int64'), '2_star': Value('int64'), '3_star': Value('int64'), '4_star': Value('int64'), '5_star': Value('int64')}, 'num_labels': Value('int64'), 'task_type': Value('string'), 'model_name': Value('string'), 'val_accuracy': Value('float64'), 'val_macro_f1': Value('float64')}
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
              bos_token: string
              cls_token: string
              eos_token: string
              mask_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: string
              sep_token: string
              unk_token: string
              id2label: struct<0: string, 1: string, 2: string, 3: string, 4: string>
                child 0, 0: string
                child 1, 1: string
                child 2, 2: string
                child 3, 3: string
                child 4, 4: string
              task_type: string
              num_labels: int64
              label2id: struct<1_star: int64, 2_star: int64, 3_star: int64, 4_star: int64, 5_star: int64>
                child 0, 1_star: int64
                child 1, 2_star: int64
                child 2, 3_star: int64
                child 3, 4_star: int64
                child 4, 5_star: int64
              val_macro_f1: double
              val_accuracy: double
              model_name: string
              to
              {'id2label': {'0': Value('string'), '1': Value('string'), '2': Value('string'), '3': Value('string'), '4': Value('string')}, 'label2id': {'1_star': Value('int64'), '2_star': Value('int64'), '3_star': Value('int64'), '4_star': Value('int64'), '5_star': Value('int64')}, 'num_labels': Value('int64'), 'task_type': Value('string'), 'model_name': Value('string'), 'val_accuracy': Value('float64'), 'val_macro_f1': Value('float64')}
              because column names don't match