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Cannot load the dataset split (in streaming mode) to extract the first rows.
Error code:   StreamingRowsError
Exception:    CastError
Message:      Couldn't cast
ans_loop: int64
num_gen_per_ans: int64
stage_0_done: bool
stage_1_done: bool
stage_6_done: bool
doc_dataset_state: struct<position: int64, epoch: int64, total_docs: int64, batch_size: int64>
  child 0, position: int64
  child 1, epoch: int64
  child 2, total_docs: int64
  child 3, batch_size: int64
gen_loops: list<item: struct<local_gen: int64, stage_2_done: bool, stage_3_done: bool, stage_4_done: bool, stag (... 31 chars omitted)
  child 0, item: struct<local_gen: int64, stage_2_done: bool, stage_3_done: bool, stage_4_done: bool, stage_5_done: b (... 19 chars omitted)
      child 0, local_gen: int64
      child 1, stage_2_done: bool
      child 2, stage_3_done: bool
      child 3, stage_4_done: bool
      child 4, stage_5_done: bool
      child 5, rewards: null
version: int64
known_valid_question_ids: list<item: string>
  child 0, item: string
reward_structure: list<item: struct<group_weight: double, terms: list<item: struct<name: string, weight: double>>>>
  child 0, item: struct<group_weight: double, terms: list<item: struct<name: string, weight: double>>>
      child 0, group_weight: double
      child 1, terms: list<item: struct<name: string, weight: double>>
          child 0, item: struct<name: string, weight: double>
              child 0, name: string
              child 1, weight: double
combined_rewards: struct<gen_11796_955_c0847dfd: double, gen_11796_958_ee731d64: double, gen_13608_335_8db44de7: doubl (... 26909 chars omitted)
  child 0, gen_11796_955_c0847dfd: d
...
eadde9: double
      child 841, gen_1634_890_e9fee92a: double
      child 842, gen_6806_438_0cc31d1c: double
      child 843, gen_10941_679_0d79e524: double
      child 844, gen_6505_552_6ceec997: double
      child 845, gen_12498_133_8db44de7: double
      child 846, gen_6489_811_ce959a6e: double
      child 847, gen_11449_662_2cd7d3b6: double
      child 848, gen_13158_883_a9bf624e: double
      child 849, gen_2351_730_0e5d6402: double
      child 850, gen_13150_945_709e50b7: double
      child 851, gen_6120_151_bf4586fb: double
      child 852, gen_6650_235_63c5bf7d: double
      child 853, gen_4769_962_257578fd: double
      child 854, gen_3621_606_fb09845f: double
      child 855, gen_3249_0_92125a0d: double
      child 856, gen_10844_899_c455ebbc: double
      child 857, gen_1449_450_4cf2cecd: double
      child 858, gen_5445_344_5481b3d3: double
      child 859, gen_2259_710_8d9ef324: double
      child 860, gen_3174_336_30d5ad0e: double
      child 861, gen_3174_340_fe310221: double
      child 862, gen_349_578_36ab4b75: double
      child 863, gen_13289_470_8bfd8624: double
      child 864, gen_9505_90_8db44de7: double
      child 865, gen_5445_350_55cc24d7: double
      child 866, gen_9381_59_ee453e20: double
      child 867, gen_11733_696_59478d7d: double
component_weights: struct<influence_rewards: double, invalid_rewards: double>
  child 0, influence_rewards: double
  child 1, invalid_rewards: double
selected_components: list<item: string>
  child 0, item: string
to
{'version': Value('int64'), 'selected_components': List(Value('string')), 'known_valid_question_ids': List(Value('string')), 'reward_structure': List({'group_weight': Value('float64'), 'terms': List({'name': Value('string'), 'weight': Value('float64')})}), 'component_weights': {'influence_rewards': Value('float64'), 'invalid_rewards': Value('float64')}, 'reward_components': {'influence_rewards': {'gen_11796_955_c0847dfd': Value('float64'), 'gen_11796_958_ee731d64': Value('float64'), 'gen_13608_335_8db44de7': Value('float64'), 'gen_1217_506_fff1b5c6': Value('float64'), 'gen_6489_808_8db44de7': Value('float64'), 'gen_11796_959_857f01bf': Value('float64'), 'gen_13681_245_2311c4a8': Value('float64'), 'gen_12385_272_a53ccdc0': Value('float64'), 'gen_6359_599_8c2f7de0': Value('float64'), 'gen_12879_782_7a77bda9': Value('float64'), 'gen_7970_411_0e2fc00c': Value('float64'), 'gen_6916_929_42e2e2b3': Value('float64'), 'gen_2025_998_87d27634': Value('float64'), 'gen_11119_298_cbdd79e8': Value('float64'), 'gen_6120_144_e77a3787': Value('float64'), 'gen_11733_701_1bc2329b': Value('float64'), 'gen_10005_478_b2c17212': Value('float64'), 'gen_13158_884_f98da788': Value('float64'), 'gen_13254_535_b8066ec8': Value('float64'), 'gen_2402_109_0e201cc3': Value('float64'), 'gen_3172_286_919822fa': Value('float64'), 'gen_6489_810_448cc7ac': Value('float64'), 'gen_4358_915_a59ba6f7': Value('float64'), 'gen_11119_299_e96a3e31': Value('float64'), 'gen_13681_240_6be0239a': Value('float64'), 'gen_2998_3
...
489_10_77bbc061': Value('float64'), 'gen_425_806_40b2c784': Value('float64'), 'gen_6010_980_8db44de7': Value('float64'), 'gen_12735_267_58c0ea9c': Value('float64'), 'gen_4358_917_8220c798': Value('float64'), 'gen_3746_83_d3b8cd85': Value('float64'), 'gen_7384_922_7a779c0f': Value('float64'), 'gen_10620_75_47eadde9': Value('float64'), 'gen_1634_890_e9fee92a': Value('float64'), 'gen_6806_438_0cc31d1c': Value('float64'), 'gen_10941_679_0d79e524': Value('float64'), 'gen_6505_552_6ceec997': Value('float64'), 'gen_12498_133_8db44de7': Value('float64'), 'gen_6489_811_ce959a6e': Value('float64'), 'gen_11449_662_2cd7d3b6': Value('float64'), 'gen_13158_883_a9bf624e': Value('float64'), 'gen_2351_730_0e5d6402': Value('float64'), 'gen_13150_945_709e50b7': Value('float64'), 'gen_6120_151_bf4586fb': Value('float64'), 'gen_6650_235_63c5bf7d': Value('float64'), 'gen_4769_962_257578fd': Value('float64'), 'gen_3621_606_fb09845f': Value('float64'), 'gen_3249_0_92125a0d': Value('float64'), 'gen_10844_899_c455ebbc': Value('float64'), 'gen_1449_450_4cf2cecd': Value('float64'), 'gen_5445_344_5481b3d3': Value('float64'), 'gen_2259_710_8d9ef324': Value('float64'), 'gen_3174_336_30d5ad0e': Value('float64'), 'gen_3174_340_fe310221': Value('float64'), 'gen_349_578_36ab4b75': Value('float64'), 'gen_13289_470_8bfd8624': Value('float64'), 'gen_9505_90_8db44de7': Value('float64'), 'gen_5445_350_55cc24d7': Value('float64'), 'gen_9381_59_ee453e20': Value('float64'), 'gen_11733_696_59478d7d': Value('float64')}}
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 478, 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
              ans_loop: int64
              num_gen_per_ans: int64
              stage_0_done: bool
              stage_1_done: bool
              stage_6_done: bool
              doc_dataset_state: struct<position: int64, epoch: int64, total_docs: int64, batch_size: int64>
                child 0, position: int64
                child 1, epoch: int64
                child 2, total_docs: int64
                child 3, batch_size: int64
              gen_loops: list<item: struct<local_gen: int64, stage_2_done: bool, stage_3_done: bool, stage_4_done: bool, stag (... 31 chars omitted)
                child 0, item: struct<local_gen: int64, stage_2_done: bool, stage_3_done: bool, stage_4_done: bool, stage_5_done: b (... 19 chars omitted)
                    child 0, local_gen: int64
                    child 1, stage_2_done: bool
                    child 2, stage_3_done: bool
                    child 3, stage_4_done: bool
                    child 4, stage_5_done: bool
                    child 5, rewards: null
              version: int64
              known_valid_question_ids: list<item: string>
                child 0, item: string
              reward_structure: list<item: struct<group_weight: double, terms: list<item: struct<name: string, weight: double>>>>
                child 0, item: struct<group_weight: double, terms: list<item: struct<name: string, weight: double>>>
                    child 0, group_weight: double
                    child 1, terms: list<item: struct<name: string, weight: double>>
                        child 0, item: struct<name: string, weight: double>
                            child 0, name: string
                            child 1, weight: double
              combined_rewards: struct<gen_11796_955_c0847dfd: double, gen_11796_958_ee731d64: double, gen_13608_335_8db44de7: doubl (... 26909 chars omitted)
                child 0, gen_11796_955_c0847dfd: d
              ...
              eadde9: double
                    child 841, gen_1634_890_e9fee92a: double
                    child 842, gen_6806_438_0cc31d1c: double
                    child 843, gen_10941_679_0d79e524: double
                    child 844, gen_6505_552_6ceec997: double
                    child 845, gen_12498_133_8db44de7: double
                    child 846, gen_6489_811_ce959a6e: double
                    child 847, gen_11449_662_2cd7d3b6: double
                    child 848, gen_13158_883_a9bf624e: double
                    child 849, gen_2351_730_0e5d6402: double
                    child 850, gen_13150_945_709e50b7: double
                    child 851, gen_6120_151_bf4586fb: double
                    child 852, gen_6650_235_63c5bf7d: double
                    child 853, gen_4769_962_257578fd: double
                    child 854, gen_3621_606_fb09845f: double
                    child 855, gen_3249_0_92125a0d: double
                    child 856, gen_10844_899_c455ebbc: double
                    child 857, gen_1449_450_4cf2cecd: double
                    child 858, gen_5445_344_5481b3d3: double
                    child 859, gen_2259_710_8d9ef324: double
                    child 860, gen_3174_336_30d5ad0e: double
                    child 861, gen_3174_340_fe310221: double
                    child 862, gen_349_578_36ab4b75: double
                    child 863, gen_13289_470_8bfd8624: double
                    child 864, gen_9505_90_8db44de7: double
                    child 865, gen_5445_350_55cc24d7: double
                    child 866, gen_9381_59_ee453e20: double
                    child 867, gen_11733_696_59478d7d: double
              component_weights: struct<influence_rewards: double, invalid_rewards: double>
                child 0, influence_rewards: double
                child 1, invalid_rewards: double
              selected_components: list<item: string>
                child 0, item: string
              to
              {'version': Value('int64'), 'selected_components': List(Value('string')), 'known_valid_question_ids': List(Value('string')), 'reward_structure': List({'group_weight': Value('float64'), 'terms': List({'name': Value('string'), 'weight': Value('float64')})}), 'component_weights': {'influence_rewards': Value('float64'), 'invalid_rewards': Value('float64')}, 'reward_components': {'influence_rewards': {'gen_11796_955_c0847dfd': Value('float64'), 'gen_11796_958_ee731d64': Value('float64'), 'gen_13608_335_8db44de7': Value('float64'), 'gen_1217_506_fff1b5c6': Value('float64'), 'gen_6489_808_8db44de7': Value('float64'), 'gen_11796_959_857f01bf': Value('float64'), 'gen_13681_245_2311c4a8': Value('float64'), 'gen_12385_272_a53ccdc0': Value('float64'), 'gen_6359_599_8c2f7de0': Value('float64'), 'gen_12879_782_7a77bda9': Value('float64'), 'gen_7970_411_0e2fc00c': Value('float64'), 'gen_6916_929_42e2e2b3': Value('float64'), 'gen_2025_998_87d27634': Value('float64'), 'gen_11119_298_cbdd79e8': Value('float64'), 'gen_6120_144_e77a3787': Value('float64'), 'gen_11733_701_1bc2329b': Value('float64'), 'gen_10005_478_b2c17212': Value('float64'), 'gen_13158_884_f98da788': Value('float64'), 'gen_13254_535_b8066ec8': Value('float64'), 'gen_2402_109_0e201cc3': Value('float64'), 'gen_3172_286_919822fa': Value('float64'), 'gen_6489_810_448cc7ac': Value('float64'), 'gen_4358_915_a59ba6f7': Value('float64'), 'gen_11119_299_e96a3e31': Value('float64'), 'gen_13681_240_6be0239a': Value('float64'), 'gen_2998_3
              ...
              489_10_77bbc061': Value('float64'), 'gen_425_806_40b2c784': Value('float64'), 'gen_6010_980_8db44de7': Value('float64'), 'gen_12735_267_58c0ea9c': Value('float64'), 'gen_4358_917_8220c798': Value('float64'), 'gen_3746_83_d3b8cd85': Value('float64'), 'gen_7384_922_7a779c0f': Value('float64'), 'gen_10620_75_47eadde9': Value('float64'), 'gen_1634_890_e9fee92a': Value('float64'), 'gen_6806_438_0cc31d1c': Value('float64'), 'gen_10941_679_0d79e524': Value('float64'), 'gen_6505_552_6ceec997': Value('float64'), 'gen_12498_133_8db44de7': Value('float64'), 'gen_6489_811_ce959a6e': Value('float64'), 'gen_11449_662_2cd7d3b6': Value('float64'), 'gen_13158_883_a9bf624e': Value('float64'), 'gen_2351_730_0e5d6402': Value('float64'), 'gen_13150_945_709e50b7': Value('float64'), 'gen_6120_151_bf4586fb': Value('float64'), 'gen_6650_235_63c5bf7d': Value('float64'), 'gen_4769_962_257578fd': Value('float64'), 'gen_3621_606_fb09845f': Value('float64'), 'gen_3249_0_92125a0d': Value('float64'), 'gen_10844_899_c455ebbc': Value('float64'), 'gen_1449_450_4cf2cecd': Value('float64'), 'gen_5445_344_5481b3d3': Value('float64'), 'gen_2259_710_8d9ef324': Value('float64'), 'gen_3174_336_30d5ad0e': Value('float64'), 'gen_3174_340_fe310221': Value('float64'), 'gen_349_578_36ab4b75': Value('float64'), 'gen_13289_470_8bfd8624': Value('float64'), 'gen_9505_90_8db44de7': Value('float64'), 'gen_5445_350_55cc24d7': Value('float64'), 'gen_9381_59_ee453e20': Value('float64'), 'gen_11733_696_59478d7d': Value('float64')}}
              because column names don't match

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