Datasets:

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AI-555

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BACKUP_26326

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MLR555_US_project 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
head_lr: double
encoder_lr: double
weight_decay: double
dropout_p: double
tmax: int64
entropy_lr: double
decoder_lr: double
rl_lr: double
entropy_target_ratio: double
entropy_alpha_init: double
min_alpha: double
threshold: double
refine_delta_small: double
refine_delta_large: double
gae_lambda: double
critic_loss_weight: double
dice_reward_weight: double
boundary_reward_weight: double
prior_reward_weight: double
foreground_reward_weight: double
reward_scale: double
keep_bias: double
aux_action_ce_mix: double
delta_scale_min: double
delta_scale_max: double
delta_scale_uncertainty_weight: double
delta_scale_disagreement_weight: double
early_stop_keep_ratio: double
min_refinement_steps: int64
best_value_state_margin: double
num_images: int64
global_mean: double
filenames: list<item: string>
  child 0, item: string
global_std: double
total_pixels: int64
to
{'global_mean': Value('float64'), 'global_std': Value('float64'), 'total_pixels': Value('int64'), 'num_images': Value('int64'), 'filenames': 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 265, 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 120, 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
              head_lr: double
              encoder_lr: double
              weight_decay: double
              dropout_p: double
              tmax: int64
              entropy_lr: double
              decoder_lr: double
              rl_lr: double
              entropy_target_ratio: double
              entropy_alpha_init: double
              min_alpha: double
              threshold: double
              refine_delta_small: double
              refine_delta_large: double
              gae_lambda: double
              critic_loss_weight: double
              dice_reward_weight: double
              boundary_reward_weight: double
              prior_reward_weight: double
              foreground_reward_weight: double
              reward_scale: double
              keep_bias: double
              aux_action_ce_mix: double
              delta_scale_min: double
              delta_scale_max: double
              delta_scale_uncertainty_weight: double
              delta_scale_disagreement_weight: double
              early_stop_keep_ratio: double
              min_refinement_steps: int64
              best_value_state_margin: double
              num_images: int64
              global_mean: double
              filenames: list<item: string>
                child 0, item: string
              global_std: double
              total_pixels: int64
              to
              {'global_mean': Value('float64'), 'global_std': Value('float64'), 'total_pixels': Value('int64'), 'num_images': Value('int64'), 'filenames': List(Value('string'))}
              because column names don't match