Datasets:

---

gunnybd01

/

scienbank-embed-models

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
algorithm: string
scheme: string
config_index: int64
mlflow_run_id: string
model_logging_mode: string
params: struct<algorithm_name: string, algorithm_slug: string, scheme: string, config_index: int64, n_classe (... 168 chars omitted)
  child 0, algorithm_name: string
  child 1, algorithm_slug: string
  child 2, scheme: string
  child 3, config_index: int64
  child 4, n_classes: int64
  child 5, n_train: int64
  child 6, n_test: int64
  child 7, feature_dim: int64
  child 8, embed_model: string
  child 9, random_seed: int64
  child 10, base_max_depth: int64
  child 11, learning_rate: double
  child 12, n_estimators: int64
metrics: struct<accuracy: double, cohen_kappa: double, spearman_r: double, pearson_r: double, train_time_s: d (... 6 chars omitted)
  child 0, accuracy: double
  child 1, cohen_kappa: double
  child 2, spearman_r: double
  child 3, pearson_r: double
  child 4, train_time_s: double
label_names: struct<0: string, 1: string>
  child 0, 0: string
  child 1, 1: string
cohen_kappa: double
spearman_r: double
pearson_r: double
accuracy: double
train_time_s: double
to
{'accuracy': Value('float64'), 'cohen_kappa': Value('float64'), 'spearman_r': Value('float64'), 'pearson_r': Value('float64'), 'train_time_s': 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 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
              algorithm: string
              scheme: string
              config_index: int64
              mlflow_run_id: string
              model_logging_mode: string
              params: struct<algorithm_name: string, algorithm_slug: string, scheme: string, config_index: int64, n_classe (... 168 chars omitted)
                child 0, algorithm_name: string
                child 1, algorithm_slug: string
                child 2, scheme: string
                child 3, config_index: int64
                child 4, n_classes: int64
                child 5, n_train: int64
                child 6, n_test: int64
                child 7, feature_dim: int64
                child 8, embed_model: string
                child 9, random_seed: int64
                child 10, base_max_depth: int64
                child 11, learning_rate: double
                child 12, n_estimators: int64
              metrics: struct<accuracy: double, cohen_kappa: double, spearman_r: double, pearson_r: double, train_time_s: d (... 6 chars omitted)
                child 0, accuracy: double
                child 1, cohen_kappa: double
                child 2, spearman_r: double
                child 3, pearson_r: double
                child 4, train_time_s: double
              label_names: struct<0: string, 1: string>
                child 0, 0: string
                child 1, 1: string
              cohen_kappa: double
              spearman_r: double
              pearson_r: double
              accuracy: double
              train_time_s: double
              to
              {'accuracy': Value('float64'), 'cohen_kappa': Value('float64'), 'spearman_r': Value('float64'), 'pearson_r': Value('float64'), 'train_time_s': Value('float64')}
              because column names don't match