Datasets:

---

MoshinAli

/

skill-gap-experiments

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
experiment_id: string
status: string
runtime_sec: double
seed: int64
protocol: string
feature_map_A: list<item: string>
  child 0, item: string
feature_map_B: list<item: string>
  child 0, item: string
results: list<item: struct<train: string, test: string, n: int64, base_rate: double, accuracy: double, f1_wei (... 28 chars omitted)
  child 0, item: struct<train: string, test: string, n: int64, base_rate: double, accuracy: double, f1_weighted: doub (... 16 chars omitted)
      child 0, train: string
      child 1, test: string
      child 2, n: int64
      child 3, base_rate: double
      child 4, accuracy: double
      child 5, f1_weighted: double
      child 6, auc: double
worker: string
tau_thresholds: list<item: double>
  child 0, item: double
gpu: bool
datasets: struct<college_placement: string, global_placement: string, student_career: string>
  child 0, college_placement: string
  child 1, global_placement: string
  child 2, student_career: string
timestamp_utc: timestamp[s]
sbert_model: null
hyperparameters: struct<>
python_version: string
code_commit: string
bootstrap_n: int64
model: string
kaggle_kernel_ref: string
to
{'bootstrap_n': Value('int64'), 'code_commit': Value('string'), 'datasets': {'college_placement': Value('string'), 'global_placement': Value('string'), 'student_career': Value('string')}, 'experiment_id': Value('string'), 'gpu': Value('bool'), 'hyperparameters': {}, 'kaggle_kernel_ref': Value('string'), 'model': Value('string'), 'protocol': Value('string'), 'python_version': Value('string'), 'runtime_sec': Value('float64'), 'sbert_model': Value('null'), 'seed': Value('int64'), 'tau_thresholds': List(Value('float64')), 'timestamp_utc': Value('timestamp[s]'), 'worker': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                      dataset=dataset,
                  ...<4 lines>...
                      column_names=column_names,
                  )
                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 127, in get_rows
                  rows_plus_one = list(itertools.islice(safe_iter(ds, dataset=dataset), rows_max_number + 1))
                File "/src/services/worker/src/worker/utils.py", line 483, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2951, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2461, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2486, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 547, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 430, in _iter_arrow
                  for key, pa_table in self.generate_tables_fn(**gen_kwags):
                                       ~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 343, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 132, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              experiment_id: string
              status: string
              runtime_sec: double
              seed: int64
              protocol: string
              feature_map_A: list<item: string>
                child 0, item: string
              feature_map_B: list<item: string>
                child 0, item: string
              results: list<item: struct<train: string, test: string, n: int64, base_rate: double, accuracy: double, f1_wei (... 28 chars omitted)
                child 0, item: struct<train: string, test: string, n: int64, base_rate: double, accuracy: double, f1_weighted: doub (... 16 chars omitted)
                    child 0, train: string
                    child 1, test: string
                    child 2, n: int64
                    child 3, base_rate: double
                    child 4, accuracy: double
                    child 5, f1_weighted: double
                    child 6, auc: double
              worker: string
              tau_thresholds: list<item: double>
                child 0, item: double
              gpu: bool
              datasets: struct<college_placement: string, global_placement: string, student_career: string>
                child 0, college_placement: string
                child 1, global_placement: string
                child 2, student_career: string
              timestamp_utc: timestamp[s]
              sbert_model: null
              hyperparameters: struct<>
              python_version: string
              code_commit: string
              bootstrap_n: int64
              model: string
              kaggle_kernel_ref: string
              to
              {'bootstrap_n': Value('int64'), 'code_commit': Value('string'), 'datasets': {'college_placement': Value('string'), 'global_placement': Value('string'), 'student_career': Value('string')}, 'experiment_id': Value('string'), 'gpu': Value('bool'), 'hyperparameters': {}, 'kaggle_kernel_ref': Value('string'), 'model': Value('string'), 'protocol': Value('string'), 'python_version': Value('string'), 'runtime_sec': Value('float64'), 'sbert_model': Value('null'), 'seed': Value('int64'), 'tau_thresholds': List(Value('float64')), 'timestamp_utc': Value('timestamp[s]'), 'worker': Value('string')}
              because column names don't match