Datasets:

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UCBProject

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train_affordance

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UCBProject 3

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
train: list<item: string>
  child 0, item: string
val: list<item: string>
  child 0, item: string
seed: int64
excluded_below_threshold: list<item: struct<obj_id: string, n_trusted: int64>>
  child 0, item: struct<obj_id: string, n_trusted: int64>
      child 0, obj_id: string
      child 1, n_trusted: int64
filter: struct<min_trusted_grasps: int64, merged_dir: string, split_mode: string, train_ratio: double, split (... 117 chars omitted)
  child 0, min_trusted_grasps: int64
  child 1, merged_dir: string
  child 2, split_mode: string
  child 3, train_ratio: double
  child 4, split_seed: int64
  child 5, created_at: string
  child 6, n_eligible: int64
  child 7, n_excluded_below_threshold: int64
  child 8, n_train: int64
  child 9, n_val: int64
to
{'train': List(Value('string')), 'val': List(Value('string')), 'filter': {'min_trusted_grasps': Value('int64'), 'merged_dir': Value('string'), 'split_mode': Value('string'), 'train_ratio': Value('float64'), 'split_seed': Value('int64'), 'created_at': Value('string'), 'n_eligible': Value('int64'), 'n_excluded_below_threshold': Value('int64'), 'n_train': Value('int64'), 'n_val': Value('int64')}, 'excluded_below_threshold': List({'obj_id': Value('string'), 'n_trusted': 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
              train: list<item: string>
                child 0, item: string
              val: list<item: string>
                child 0, item: string
              seed: int64
              excluded_below_threshold: list<item: struct<obj_id: string, n_trusted: int64>>
                child 0, item: struct<obj_id: string, n_trusted: int64>
                    child 0, obj_id: string
                    child 1, n_trusted: int64
              filter: struct<min_trusted_grasps: int64, merged_dir: string, split_mode: string, train_ratio: double, split (... 117 chars omitted)
                child 0, min_trusted_grasps: int64
                child 1, merged_dir: string
                child 2, split_mode: string
                child 3, train_ratio: double
                child 4, split_seed: int64
                child 5, created_at: string
                child 6, n_eligible: int64
                child 7, n_excluded_below_threshold: int64
                child 8, n_train: int64
                child 9, n_val: int64
              to
              {'train': List(Value('string')), 'val': List(Value('string')), 'filter': {'min_trusted_grasps': Value('int64'), 'merged_dir': Value('string'), 'split_mode': Value('string'), 'train_ratio': Value('float64'), 'split_seed': Value('int64'), 'created_at': Value('string'), 'n_eligible': Value('int64'), 'n_excluded_below_threshold': Value('int64'), 'n_train': Value('int64'), 'n_val': Value('int64')}, 'excluded_below_threshold': List({'obj_id': Value('string'), 'n_trusted': Value('int64')})}
              because column names don't match