Datasets:

---

mith66

/

qwen3_8B_responses

Like 1

Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
run_id: string
teacher: string
revision: string
config_hash: string
pid: string
candidate_idx: int64
seed: int64
req_seed: int64
prompt: string
prompt_token_ids: list<item: int64>
  child 0, item: int64
response_token_ids_generated: list<item: int64>
  child 0, item: int64
text_raw: string
text_draft: string
draft_finish_reason: string
draft_flags: struct<eos_replaced: bool, rep_score: double, nonascii: double>
  child 0, eos_replaced: bool
  child 1, rep_score: double
  child 2, nonascii: double
draft_reject_reasons: list<item: string>
  child 0, item: string
used_revision: bool
revision_fallback_reason: string
revision_edited: bool
revision_token_ids_generated: list<item: int64>
  child 0, item: int64
revision_finish_reason: string
text: string
finish_reason: string
n_resp_tokens: int64
flags: struct<eos_replaced: bool, rep_score: double, nonascii: double>
  child 0, eos_replaced: bool
  child 1, rep_score: double
  child 2, nonascii: double
reject_reasons: list<item: string>
  child 0, item: string
accepted_for_scoring: bool
env_hash: string
status: string
started: timestamp[s]
counts: struct<done: int64, rejected: int64, failed: int64>
  child 0, done: int64
  child 1, rejected: int64
  child 2, failed: int64
updated: timestamp[s]
shards: list<item: string>
  child 0, item: string
to
{'run_id': Value('string'), 'config_hash': Value('string'), 'status': Value('string'), 'started': Value('timestamp[s]'), 'shards': List(Value('string')), 'counts': {'done': Value('int64'), 'rejected': Value('int64'), 'failed': Value('int64')}, 'env_hash': Value('string'), 'updated': Value('timestamp[s]')}
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 544, 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 3052, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2559, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ~~~~~~~~~~~~~~~~^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 2584, 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 558, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/iterable_dataset.py", line 440, 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 361, 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 2381, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2309, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              run_id: string
              teacher: string
              revision: string
              config_hash: string
              pid: string
              candidate_idx: int64
              seed: int64
              req_seed: int64
              prompt: string
              prompt_token_ids: list<item: int64>
                child 0, item: int64
              response_token_ids_generated: list<item: int64>
                child 0, item: int64
              text_raw: string
              text_draft: string
              draft_finish_reason: string
              draft_flags: struct<eos_replaced: bool, rep_score: double, nonascii: double>
                child 0, eos_replaced: bool
                child 1, rep_score: double
                child 2, nonascii: double
              draft_reject_reasons: list<item: string>
                child 0, item: string
              used_revision: bool
              revision_fallback_reason: string
              revision_edited: bool
              revision_token_ids_generated: list<item: int64>
                child 0, item: int64
              revision_finish_reason: string
              text: string
              finish_reason: string
              n_resp_tokens: int64
              flags: struct<eos_replaced: bool, rep_score: double, nonascii: double>
                child 0, eos_replaced: bool
                child 1, rep_score: double
                child 2, nonascii: double
              reject_reasons: list<item: string>
                child 0, item: string
              accepted_for_scoring: bool
              env_hash: string
              status: string
              started: timestamp[s]
              counts: struct<done: int64, rejected: int64, failed: int64>
                child 0, done: int64
                child 1, rejected: int64
                child 2, failed: int64
              updated: timestamp[s]
              shards: list<item: string>
                child 0, item: string
              to
              {'run_id': Value('string'), 'config_hash': Value('string'), 'status': Value('string'), 'started': Value('timestamp[s]'), 'shards': List(Value('string')), 'counts': {'done': Value('int64'), 'rejected': Value('int64'), 'failed': Value('int64')}, 'env_hash': Value('string'), 'updated': Value('timestamp[s]')}
              because column names don't match