Datasets:

---

kaa0227

/

uniskill-backup

Like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
fingerprint: string
configuration: struct<source_sha256: struct<3_statistical_ranker.py: string, 4_tcn_ranker.py: string, 6_temporal_sh (... 842 chars omitted)
  child 0, source_sha256: struct<3_statistical_ranker.py: string, 4_tcn_ranker.py: string, 6_temporal_shuffle_control.py: stri (... 3 chars omitted)
      child 0, 3_statistical_ranker.py: string
      child 1, 4_tcn_ranker.py: string
      child 2, 6_temporal_shuffle_control.py: string
  child 1, runner_sha256: struct<run_loto.py: string, loto_protocol.py: string, evaluate_oof_selection.py: string, run_existin (... 17 chars omitted)
      child 0, run_loto.py: string
      child 1, loto_protocol.py: string
      child 2, evaluate_oof_selection.py: string
      child 3, run_existing_oof.py: string
  child 2, pair_file_sha256: string
  child 3, prediction_sources: struct<global: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>,  (... 183 chars omitted)
      child 0, global: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>
          child 0, path: string
          child 1, sha256: string
          child 2, row_count: int64
          child 3, columns: list<item: string>
              child 0, item: string
      child 1, shuffle: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>
          child 0, path: string
          child 1, sha256: string
          child 2, row_count: int64
          child 3, columns: list<item: st
...
acle: double
per_task: list<item: struct<task: string, fold_count: int64, mean_sr: struct<random: double, global: double, s (... 153 chars omitted)
  child 0, item: struct<task: string, fold_count: int64, mean_sr: struct<random: double, global: double, shuffle: dou (... 141 chars omitted)
      child 0, task: string
      child 1, fold_count: int64
      child 2, mean_sr: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
          child 0, random: double
          child 1, global: double
          child 2, shuffle: double
          child 3, tcn: double
          child 4, oracle: double
      child 3, uplift_pp_vs_random: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
          child 0, random: double
          child 1, global: double
          child 2, shuffle: double
          child 3, tcn: double
          child 4, oracle: double
interpretation: list<item: string>
  child 0, item: string
task_count: int64
tasks_with_positive_uplift: struct<global: int64, shuffle: int64, tcn: int64>
  child 0, global: int64
  child 1, shuffle: int64
  child 2, tcn: int64
tcn_advantage_pp: struct<global: double, shuffle: double>
  child 0, global: double
  child 1, shuffle: double
task_fold_count: int64
mean_sr: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
  child 0, random: double
  child 1, global: double
  child 2, shuffle: double
  child 3, tcn: double
  child 4, oracle: double
to
{'candidate_size': Value('int64'), 'aggregation': Value('string'), 'task_count': Value('int64'), 'task_fold_count': Value('int64'), 'prompt_count': Value('int64'), 'candidate_set_count': Value('int64'), 'mean_sr': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'uplift_pp_vs_random': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'tcn_advantage_pp': {'global': Value('float64'), 'shuffle': Value('float64')}, 'tasks_with_positive_uplift': {'global': Value('int64'), 'shuffle': Value('int64'), 'tcn': Value('int64')}, 'per_task': List({'task': Value('string'), 'fold_count': Value('int64'), 'mean_sr': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'uplift_pp_vs_random': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}}), 'interpretation': List(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
              fingerprint: string
              configuration: struct<source_sha256: struct<3_statistical_ranker.py: string, 4_tcn_ranker.py: string, 6_temporal_sh (... 842 chars omitted)
                child 0, source_sha256: struct<3_statistical_ranker.py: string, 4_tcn_ranker.py: string, 6_temporal_shuffle_control.py: stri (... 3 chars omitted)
                    child 0, 3_statistical_ranker.py: string
                    child 1, 4_tcn_ranker.py: string
                    child 2, 6_temporal_shuffle_control.py: string
                child 1, runner_sha256: struct<run_loto.py: string, loto_protocol.py: string, evaluate_oof_selection.py: string, run_existin (... 17 chars omitted)
                    child 0, run_loto.py: string
                    child 1, loto_protocol.py: string
                    child 2, evaluate_oof_selection.py: string
                    child 3, run_existing_oof.py: string
                child 2, pair_file_sha256: string
                child 3, prediction_sources: struct<global: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>,  (... 183 chars omitted)
                    child 0, global: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>
                        child 0, path: string
                        child 1, sha256: string
                        child 2, row_count: int64
                        child 3, columns: list<item: string>
                            child 0, item: string
                    child 1, shuffle: struct<path: string, sha256: string, row_count: int64, columns: list<item: string>>
                        child 0, path: string
                        child 1, sha256: string
                        child 2, row_count: int64
                        child 3, columns: list<item: st
              ...
              acle: double
              per_task: list<item: struct<task: string, fold_count: int64, mean_sr: struct<random: double, global: double, s (... 153 chars omitted)
                child 0, item: struct<task: string, fold_count: int64, mean_sr: struct<random: double, global: double, shuffle: dou (... 141 chars omitted)
                    child 0, task: string
                    child 1, fold_count: int64
                    child 2, mean_sr: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
                        child 0, random: double
                        child 1, global: double
                        child 2, shuffle: double
                        child 3, tcn: double
                        child 4, oracle: double
                    child 3, uplift_pp_vs_random: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
                        child 0, random: double
                        child 1, global: double
                        child 2, shuffle: double
                        child 3, tcn: double
                        child 4, oracle: double
              interpretation: list<item: string>
                child 0, item: string
              task_count: int64
              tasks_with_positive_uplift: struct<global: int64, shuffle: int64, tcn: int64>
                child 0, global: int64
                child 1, shuffle: int64
                child 2, tcn: int64
              tcn_advantage_pp: struct<global: double, shuffle: double>
                child 0, global: double
                child 1, shuffle: double
              task_fold_count: int64
              mean_sr: struct<random: double, global: double, shuffle: double, tcn: double, oracle: double>
                child 0, random: double
                child 1, global: double
                child 2, shuffle: double
                child 3, tcn: double
                child 4, oracle: double
              to
              {'candidate_size': Value('int64'), 'aggregation': Value('string'), 'task_count': Value('int64'), 'task_fold_count': Value('int64'), 'prompt_count': Value('int64'), 'candidate_set_count': Value('int64'), 'mean_sr': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'uplift_pp_vs_random': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'tcn_advantage_pp': {'global': Value('float64'), 'shuffle': Value('float64')}, 'tasks_with_positive_uplift': {'global': Value('int64'), 'shuffle': Value('int64'), 'tcn': Value('int64')}, 'per_task': List({'task': Value('string'), 'fold_count': Value('int64'), 'mean_sr': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}, 'uplift_pp_vs_random': {'random': Value('float64'), 'global': Value('float64'), 'shuffle': Value('float64'), 'tcn': Value('float64'), 'oracle': Value('float64')}}), 'interpretation': List(Value('string'))}
              because column names don't match