Datasets:

---

DavidBShan

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linkd-search-e7685595

like 0

Error code:   StreamingRowsError
Exception:    TypeError
Message:      Couldn't cast array of type
struct<epochs: int64, resumed: bool, download_seconds: double, hf_transfer: string, thinking: bool>
to
{'steps': Value('int64'), 'resumed': Value('bool'), 'download_seconds': Value('float64'), 'hf_transfer': Value('string'), 'reward_history': List(Value('float64')), 'gen_tokens_is_upper_bound': Value('bool'), 'thinking': Value('bool'), 'max_completion_len': Value('int64'), 'prompts_per_step': Value('int64'), 'generations_per_step': Value('int64'), 'group_size': Value('int64'), 'per_device_train_batch_size': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'grpo_recipe': {'lr_scheduler': Value('string'), 'beta': Value('float64'), 'scale_rewards': Value('string'), 'loss_type': Value('string'), 'temperature': Value('float64'), 'advantage_clip': Value('float64'), 'thinking_length_penalty_coef': Value('float64'), 'init_from_adapter': Value('string')}}
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/utils.py", line 147, in get_rows_or_raise
                  return get_rows(
                         ^^^^^^^^^
                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 478, in safe_iter
                  yield from ds.decode(False) if ds.features else ds
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2815, in __iter__
                  for key, example in ex_iterable:
                                      ^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2352, in __iter__
                  for key, pa_table in self._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2377, in _iter_arrow
                  for key, pa_table in self.ex_iterable._iter_arrow():
                                       ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 536, in _iter_arrow
                  for key, pa_table in iterator:
                                       ^^^^^^^^
                File "/usr/local/lib/python3.12/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/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 310, in _generate_tables
                  self._cast_table(pa_table, json_field_paths=json_field_paths),
                  ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 130, in _cast_table
                  pa_table = table_cast(pa_table, self.info.features.arrow_schema)
                             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2369, in table_cast
                  return cast_table_to_schema(table, schema)
                         ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2303, in cast_table_to_schema
                  cast_array_to_feature(
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 1852, in wrapper
                  return pa.chunked_array([func(chunk, *args, **kwargs) for chunk in array.chunks])
                                           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/table.py", line 2149, in cast_array_to_feature
                  raise TypeError(f"Couldn't cast array of type\n{_short_str(array.type)}\nto\n{_short_str(feature)}")
              TypeError: Couldn't cast array of type
              struct<epochs: int64, resumed: bool, download_seconds: double, hf_transfer: string, thinking: bool>
              to
              {'steps': Value('int64'), 'resumed': Value('bool'), 'download_seconds': Value('float64'), 'hf_transfer': Value('string'), 'reward_history': List(Value('float64')), 'gen_tokens_is_upper_bound': Value('bool'), 'thinking': Value('bool'), 'max_completion_len': Value('int64'), 'prompts_per_step': Value('int64'), 'generations_per_step': Value('int64'), 'group_size': Value('int64'), 'per_device_train_batch_size': Value('int64'), 'gradient_accumulation_steps': Value('int64'), 'grpo_recipe': {'lr_scheduler': Value('string'), 'beta': Value('float64'), 'scale_rewards': Value('string'), 'loss_type': Value('string'), 'temperature': Value('float64'), 'advantage_clip': Value('float64'), 'thinking_length_penalty_coef': Value('float64'), 'init_from_adapter': Value('string')}}