Datasets:

---

Prasadmahadik

/

Inoculation_Adapters_mechanistic_exp

like 0

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
created_by: string
inputs: struct<dataset_jsonl: string, dataset_sha256: string>
  child 0, dataset_jsonl: string
  child 1, dataset_sha256: string
key: struct<dataset: string, experiment: string, model: string, probe_set: string, run_id: string, varian (... 10 chars omitted)
  child 0, dataset: string
  child 1, experiment: string
  child 2, model: string
  child 3, probe_set: string
  child 4, run_id: string
  child 5, variant: string
parameters: struct<early_optimizer_step: int64, excluded_probe_count: int64, excluded_probe_jsonl: string, exclu (... 158 chars omitted)
  child 0, early_optimizer_step: int64
  child 1, excluded_probe_count: int64
  child 2, excluded_probe_jsonl: string
  child 3, excluded_probe_sha256: string
  child 4, planned_optimizer_steps: int64
  child 5, probe_count: int64
  child 6, seed: int64
  child 7, seen_count: int64
  child 8, training_plan_hash: string
  child 9, unseen_count: int64
run_type: string
schema_version: int64
updated_at: string
counters: struct<>
completed_unit_ids: list<item: null>
  child 0, item: null
to
{'completed_unit_ids': List(Value('null')), 'counters': {}, 'updated_at': Value('string')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 149, 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 129, 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 489, 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 2818, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2355, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2380, 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 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2297, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              created_by: string
              inputs: struct<dataset_jsonl: string, dataset_sha256: string>
                child 0, dataset_jsonl: string
                child 1, dataset_sha256: string
              key: struct<dataset: string, experiment: string, model: string, probe_set: string, run_id: string, varian (... 10 chars omitted)
                child 0, dataset: string
                child 1, experiment: string
                child 2, model: string
                child 3, probe_set: string
                child 4, run_id: string
                child 5, variant: string
              parameters: struct<early_optimizer_step: int64, excluded_probe_count: int64, excluded_probe_jsonl: string, exclu (... 158 chars omitted)
                child 0, early_optimizer_step: int64
                child 1, excluded_probe_count: int64
                child 2, excluded_probe_jsonl: string
                child 3, excluded_probe_sha256: string
                child 4, planned_optimizer_steps: int64
                child 5, probe_count: int64
                child 6, seed: int64
                child 7, seen_count: int64
                child 8, training_plan_hash: string
                child 9, unseen_count: int64
              run_type: string
              schema_version: int64
              updated_at: string
              counters: struct<>
              completed_unit_ids: list<item: null>
                child 0, item: null
              to
              {'completed_unit_ids': List(Value('null')), 'counters': {}, 'updated_at': Value('string')}
              because column names don't match