Datasets:

---

Terrano09

/

GRPO_Run_Datasets

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
composition: struct<categories: struct<crypto-square-strange: int64>, families: struct<crypto-square: int64>>
  child 0, categories: struct<crypto-square-strange: int64>
      child 0, crypto-square-strange: int64
  child 1, families: struct<crypto-square: int64>
      child 0, crypto-square: int64
counts: struct<available_shadow: int64, monitor: int64, train: int64, validation: int64>
  child 0, available_shadow: int64
  child 1, monitor: int64
  child 2, train: int64
  child 3, validation: int64
files: struct<grpo_train: string, train_monitor: string, validation: string>
  child 0, grpo_train: string
  child 1, train_monitor: string
  child 2, validation: string
kind: string
profile: string
prompt_sha256: list<item: string>
  child 0, item: string
run_id: string
schema_version: int64
source_manifest_kind: string
source_manifest_sha256: string
source_root: string
source_tree_sha256: string
split_contract: struct<imitation_role: string, monitor: string, official_26: string, official_task_id_overlap: list< (... 124 chars omitted)
  child 0, imitation_role: string
  child 1, monitor: string
  child 2, official_26: string
  child 3, official_task_id_overlap: list<item: string>
      child 0, item: string
  child 4, reference_answers_packaged: bool
  child 5, source_reference_answers_packaged: bool
  child 6, train: string
  child 7, validation: string
label: string
problem_id: string
metadata: struct<category: string, data_source: string, editable_files: list<item: string>, episode_kind: stri (... 295 chars omitted)
  child 0, category: string
  child 1, data_source: string
  child 2, editable_files: list<item: string>
      child 0, item: string
  child 3, episode_kind: string
  child 4, failure_signature: string
  child 5, family: string
  child 6, harness_kind: string
  child 7, hidden_test_sha256: string
  child 8, lineage_id: string
  child 9, objective_group: string
  child 10, problem_id: string
  child 11, source_prompt_sha256: string
  child 12, split: string
  child 13, tags: list<item: string>
      child 0, item: string
  child 14, task_id: string
  child 15, task_path: string
  child 16, verification_gate: string
prompt: list<item: struct<content: string, role: string>>
  child 0, item: struct<content: string, role: string>
      child 0, content: string
      child 1, role: string
split: string
task_id: string
to
{'label': Value('string'), 'metadata': {'category': Value('string'), 'data_source': Value('string'), 'editable_files': List(Value('string')), 'episode_kind': Value('string'), 'failure_signature': Value('string'), 'family': Value('string'), 'harness_kind': Value('string'), 'hidden_test_sha256': Value('string'), 'lineage_id': Value('string'), 'objective_group': Value('string'), 'problem_id': Value('string'), 'source_prompt_sha256': Value('string'), 'split': Value('string'), 'tags': List(Value('string')), 'task_id': Value('string'), 'task_path': Value('string'), 'verification_gate': Value('string')}, 'problem_id': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'split': Value('string'), 'task_id': 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 2840, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2373, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2398, 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 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 419, 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
              composition: struct<categories: struct<crypto-square-strange: int64>, families: struct<crypto-square: int64>>
                child 0, categories: struct<crypto-square-strange: int64>
                    child 0, crypto-square-strange: int64
                child 1, families: struct<crypto-square: int64>
                    child 0, crypto-square: int64
              counts: struct<available_shadow: int64, monitor: int64, train: int64, validation: int64>
                child 0, available_shadow: int64
                child 1, monitor: int64
                child 2, train: int64
                child 3, validation: int64
              files: struct<grpo_train: string, train_monitor: string, validation: string>
                child 0, grpo_train: string
                child 1, train_monitor: string
                child 2, validation: string
              kind: string
              profile: string
              prompt_sha256: list<item: string>
                child 0, item: string
              run_id: string
              schema_version: int64
              source_manifest_kind: string
              source_manifest_sha256: string
              source_root: string
              source_tree_sha256: string
              split_contract: struct<imitation_role: string, monitor: string, official_26: string, official_task_id_overlap: list< (... 124 chars omitted)
                child 0, imitation_role: string
                child 1, monitor: string
                child 2, official_26: string
                child 3, official_task_id_overlap: list<item: string>
                    child 0, item: string
                child 4, reference_answers_packaged: bool
                child 5, source_reference_answers_packaged: bool
                child 6, train: string
                child 7, validation: string
              label: string
              problem_id: string
              metadata: struct<category: string, data_source: string, editable_files: list<item: string>, episode_kind: stri (... 295 chars omitted)
                child 0, category: string
                child 1, data_source: string
                child 2, editable_files: list<item: string>
                    child 0, item: string
                child 3, episode_kind: string
                child 4, failure_signature: string
                child 5, family: string
                child 6, harness_kind: string
                child 7, hidden_test_sha256: string
                child 8, lineage_id: string
                child 9, objective_group: string
                child 10, problem_id: string
                child 11, source_prompt_sha256: string
                child 12, split: string
                child 13, tags: list<item: string>
                    child 0, item: string
                child 14, task_id: string
                child 15, task_path: string
                child 16, verification_gate: string
              prompt: list<item: struct<content: string, role: string>>
                child 0, item: struct<content: string, role: string>
                    child 0, content: string
                    child 1, role: string
              split: string
              task_id: string
              to
              {'label': Value('string'), 'metadata': {'category': Value('string'), 'data_source': Value('string'), 'editable_files': List(Value('string')), 'episode_kind': Value('string'), 'failure_signature': Value('string'), 'family': Value('string'), 'harness_kind': Value('string'), 'hidden_test_sha256': Value('string'), 'lineage_id': Value('string'), 'objective_group': Value('string'), 'problem_id': Value('string'), 'source_prompt_sha256': Value('string'), 'split': Value('string'), 'tags': List(Value('string')), 'task_id': Value('string'), 'task_path': Value('string'), 'verification_gate': Value('string')}, 'problem_id': Value('string'), 'prompt': List({'content': Value('string'), 'role': Value('string')}), 'split': Value('string'), 'task_id': Value('string')}
              because column names don't match