Datasets:

---

superkaiba1

/

explore-persona-space-data

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
row_index: int64
question: string
choices: list<item: string>
  child 0, item: string
choice_labels: list<item: string>
  child 0, item: string
correct_answer: string
train_seconds: double
eos_masking_rollup: struct<rows_seen: int64, matched: int64, masked_positions: int64, per_row_distribution: struct<0: in (... 25 chars omitted)
  child 0, rows_seen: int64
  child 1, matched: int64
  child 2, masked_positions: int64
  child 3, per_row_distribution: struct<0: int64, 1: int64, 2: int64>
      child 0, 0: int64
      child 1, 1: int64
      child 2, 2: int64
args: struct<base_model: string, lora_r: int64, lora_alpha: int64, lr: double, epochs: int64, warmup_ratio (... 134 chars omitted)
  child 0, base_model: string
  child 1, lora_r: int64
  child 2, lora_alpha: int64
  child 3, lr: double
  child 4, epochs: int64
  child 5, warmup_ratio: double
  child 6, batch_size: int64
  child 7, grad_accum: int64
  child 8, max_length: int64
  child 9, seed: int64
  child 10, gradient_clip: double
  child 11, recipient_signature_len: int64
adapter_dir: string
training_loss: double
to
{'adapter_dir': Value('string'), 'training_loss': Value('float64'), 'train_seconds': Value('float64'), 'eos_masking_rollup': {'rows_seen': Value('int64'), 'matched': Value('int64'), 'masked_positions': Value('int64'), 'per_row_distribution': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64')}}, 'args': {'base_model': Value('string'), 'lora_r': Value('int64'), 'lora_alpha': Value('int64'), 'lr': Value('float64'), 'epochs': Value('int64'), 'warmup_ratio': Value('float64'), 'batch_size': Value('int64'), 'grad_accum': Value('int64'), 'max_length': Value('int64'), 'seed': Value('int64'), 'gradient_clip': Value('float64'), 'recipient_signature_len': Value('int64')}}
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
              id: string
              row_index: int64
              question: string
              choices: list<item: string>
                child 0, item: string
              choice_labels: list<item: string>
                child 0, item: string
              correct_answer: string
              train_seconds: double
              eos_masking_rollup: struct<rows_seen: int64, matched: int64, masked_positions: int64, per_row_distribution: struct<0: in (... 25 chars omitted)
                child 0, rows_seen: int64
                child 1, matched: int64
                child 2, masked_positions: int64
                child 3, per_row_distribution: struct<0: int64, 1: int64, 2: int64>
                    child 0, 0: int64
                    child 1, 1: int64
                    child 2, 2: int64
              args: struct<base_model: string, lora_r: int64, lora_alpha: int64, lr: double, epochs: int64, warmup_ratio (... 134 chars omitted)
                child 0, base_model: string
                child 1, lora_r: int64
                child 2, lora_alpha: int64
                child 3, lr: double
                child 4, epochs: int64
                child 5, warmup_ratio: double
                child 6, batch_size: int64
                child 7, grad_accum: int64
                child 8, max_length: int64
                child 9, seed: int64
                child 10, gradient_clip: double
                child 11, recipient_signature_len: int64
              adapter_dir: string
              training_loss: double
              to
              {'adapter_dir': Value('string'), 'training_loss': Value('float64'), 'train_seconds': Value('float64'), 'eos_masking_rollup': {'rows_seen': Value('int64'), 'matched': Value('int64'), 'masked_positions': Value('int64'), 'per_row_distribution': {'0': Value('int64'), '1': Value('int64'), '2': Value('int64')}}, 'args': {'base_model': Value('string'), 'lora_r': Value('int64'), 'lora_alpha': Value('int64'), 'lr': Value('float64'), 'epochs': Value('int64'), 'warmup_ratio': Value('float64'), 'batch_size': Value('int64'), 'grad_accum': Value('int64'), 'max_length': Value('int64'), 'seed': Value('int64'), 'gradient_clip': Value('float64'), 'recipient_signature_len': Value('int64')}}
              because column names don't match