Datasets:

---

Diogo2110

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issue-salience-artifacts

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
text: int64
diversity: double
best_model: string
model_results: struct<Logistic Regression: struct<accuracy: double, f1_weighted: double>, Random Forest: struct<acc (... 102 chars omitted)
  child 0, Logistic Regression: struct<accuracy: double, f1_weighted: double>
      child 0, accuracy: double
      child 1, f1_weighted: double
  child 1, Random Forest: struct<accuracy: double, f1_weighted: double>
      child 0, accuracy: double
      child 1, f1_weighted: double
  child 2, Gradient Boosting: struct<accuracy: double, f1_weighted: double>
      child 0, accuracy: double
      child 1, f1_weighted: double
best_f1: double
outlier_pct: double
best_accuracy: double
coherence: double
num_topics: int64
to
{'coherence': Value('float64'), 'diversity': Value('float64'), 'outlier_pct': Value('float64'), 'num_topics': Value('int64'), 'best_model': Value('string'), 'best_accuracy': Value('float64'), 'best_f1': Value('float64'), 'model_results': {'Logistic Regression': {'accuracy': Value('float64'), 'f1_weighted': Value('float64')}, 'Random Forest': {'accuracy': Value('float64'), 'f1_weighted': Value('float64')}, 'Gradient Boosting': {'accuracy': Value('float64'), 'f1_weighted': 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
              text: int64
              diversity: double
              best_model: string
              model_results: struct<Logistic Regression: struct<accuracy: double, f1_weighted: double>, Random Forest: struct<acc (... 102 chars omitted)
                child 0, Logistic Regression: struct<accuracy: double, f1_weighted: double>
                    child 0, accuracy: double
                    child 1, f1_weighted: double
                child 1, Random Forest: struct<accuracy: double, f1_weighted: double>
                    child 0, accuracy: double
                    child 1, f1_weighted: double
                child 2, Gradient Boosting: struct<accuracy: double, f1_weighted: double>
                    child 0, accuracy: double
                    child 1, f1_weighted: double
              best_f1: double
              outlier_pct: double
              best_accuracy: double
              coherence: double
              num_topics: int64
              to
              {'coherence': Value('float64'), 'diversity': Value('float64'), 'outlier_pct': Value('float64'), 'num_topics': Value('int64'), 'best_model': Value('string'), 'best_accuracy': Value('float64'), 'best_f1': Value('float64'), 'model_results': {'Logistic Regression': {'accuracy': Value('float64'), 'f1_weighted': Value('float64')}, 'Random Forest': {'accuracy': Value('float64'), 'f1_weighted': Value('float64')}, 'Gradient Boosting': {'accuracy': Value('float64'), 'f1_weighted': Value('float64')}}}
              because column names don't match