Datasets:

---

qanta-challenge

/

advcal-results

like 0

Follow

QANTA 11

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
id: string
competition_type: string
username: string
model_name: string
eval_set: string
metrics: struct<part_accuracy: double, question_accuracy: double, raw_accuracy: double, calibration: double,  (... 69 chars omitted)
  child 0, part_accuracy: double
  child 1, question_accuracy: double
  child 2, raw_accuracy: double
  child 3, calibration: double
  child 4, calibrated_accuracy: double
  child 5, adoption: double
  child 6, effectiveness: double
n_examples: int64
created_at: string
n_parts: int64
cost: double
submission_created_at: string
to
{'id': Value('string'), 'competition_type': Value('string'), 'username': Value('string'), 'model_name': Value('string'), 'eval_set': Value('string'), 'metrics': {'part_accuracy': Value('float64'), 'question_accuracy': Value('float64'), 'raw_accuracy': Value('float64'), 'calibration': Value('float64'), 'calibrated_accuracy': Value('float64'), 'adoption': Value('float64'), 'effectiveness': Value('float64')}, 'n_examples': Value('int64'), 'created_at': Value('string'), 'n_parts': Value('int64'), 'submission_created_at': 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 295, 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
              competition_type: string
              username: string
              model_name: string
              eval_set: string
              metrics: struct<part_accuracy: double, question_accuracy: double, raw_accuracy: double, calibration: double,  (... 69 chars omitted)
                child 0, part_accuracy: double
                child 1, question_accuracy: double
                child 2, raw_accuracy: double
                child 3, calibration: double
                child 4, calibrated_accuracy: double
                child 5, adoption: double
                child 6, effectiveness: double
              n_examples: int64
              created_at: string
              n_parts: int64
              cost: double
              submission_created_at: string
              to
              {'id': Value('string'), 'competition_type': Value('string'), 'username': Value('string'), 'model_name': Value('string'), 'eval_set': Value('string'), 'metrics': {'part_accuracy': Value('float64'), 'question_accuracy': Value('float64'), 'raw_accuracy': Value('float64'), 'calibration': Value('float64'), 'calibrated_accuracy': Value('float64'), 'adoption': Value('float64'), 'effectiveness': Value('float64')}, 'n_examples': Value('int64'), 'created_at': Value('string'), 'n_parts': Value('int64'), 'submission_created_at': Value('string')}
              because column names don't match