Datasets:

---

Fengzhuo

/

SER

like 1

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
combined_rewards: struct<gen_2108_659_9728fea7: double, gen_1188_175_2db6685b: double, gen_297_16_875be733: double, ge (... 28706 chars omitted)
  child 0, gen_2108_659_9728fea7: double
  child 1, gen_1188_175_2db6685b: double
  child 2, gen_297_16_875be733: double
  child 3, gen_13154_13_6ea23a04: double
  child 4, gen_13736_759_7d1f62b5: double
  child 5, gen_13654_51_798aa60c: double
  child 6, gen_8455_1023_b70405f8: double
  child 7, gen_5893_849_6a75b9ef: double
  child 8, gen_9025_834_450e1d51: double
  child 9, gen_3800_939_0bcd2583: double
  child 10, gen_4632_267_9ae79e8f: double
  child 11, gen_8094_878_1dae71d2: double
  child 12, gen_1868_723_f9bf82d7: double
  child 13, gen_10732_273_49e2c66d: double
  c
...
d 900, gen_6607_370_f129a5c5: double
      child 901, gen_548_153_1dfa362b: double
      child 902, gen_8864_46_80342709: double
      child 903, gen_6247_931_58fdbb88: double
      child 904, gen_4883_788_e478bec3: double
      child 905, gen_895_751_c9207ee6: double
      child 906, gen_2737_294_90f60a36: double
      child 907, gen_8455_1019_3393ac69: double
      child 908, gen_773_478_a8817bc9: double
      child 909, gen_6587_512_da23f1b0: double
      child 910, gen_13154_11_3a4da961: double
      child 911, gen_6299_528_7ba0cf55: double
      child 912, gen_6964_811_31c67af8: double
      child 913, gen_3043_682_4b44cc56: double
      child 914, gen_13046_766_5668d9e0: double
      child 915, gen_13232_58_6d6c276e: double
      child 916, gen_13452_492_2e2f1def: double
      child 917, gen_1695_860_8d204347: double
      child 918, gen_11775_986_45b54a73: double
      child 919, gen_9903_191_e9224c91: double
      child 920, gen_11493_452_0932d576: double
      child 921, gen_7508_923_a605c02e: double
      child 922, gen_9549_306_d60f4717: double
      child 923, gen_895_747_be643c93: double
      child 924, gen_8864_42_40ee7af2: double
      child 925, gen_639_79_c96b7d59: double
      child 926, gen_13101_1004_24980a5b: double
      child 927, gen_3043_685_c4946ff9: double
      child 928, gen_773_475_07c0c22a: double
component_weights: struct<influence_rewards: double, invalid_rewards: double>
  child 0, influence_rewards: double
  child 1, invalid_rewards: double
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_2108_659_9728fea7': Value('float64'), 'gen_1188_175_2db6685b': Value('float64'), 'gen_297_16_875be733': Value('float64'), 'gen_13154_13_6ea23a04': Value('float64'), 'gen_13736_759_7d1f62b5': Value('float64'), 'gen_13654_51_798aa60c': Value('float64'), 'gen_8455_1023_b70405f8': Value('float64'), 'gen_5893_849_6a75b9ef': Value('float64'), 'gen_9025_834_450e1d51': Value('float64'), 'gen_3800_939_0bcd2583': Value('float64'), 'gen_4632_267_9ae79e8f': Value('float64'), 'gen_8094_878_1dae71d2': Value('float64'), 'gen_1868_723_f9bf82d7': Value('float64'), 'gen_10732_273_49e2c66d': Value('float64'), 'gen_9549_305_2fc26e97': Value('float64'), 'gen_1929_98_def32e79': Value('float64'), 'gen_4632_269_e839d91e': Value('float64'), 'gen_10524_25_9521785b': Value('float64'), 'gen_10504_82_a21e4b3f': Value('float64'), 'gen_1695_857_247303c8': Value('float64'), 'gen_1695_856_ac833b7f': Value('float64'), 'gen_5893_855_7cb2871e': Value('float64'), 'gen_1835_647_f80e0c02': Value('float64'), 'gen_3220_973_733c6037': Value('float64'), 'gen_1908_541_7270516a': Value('float64'), 'gen_9864_903_6fc41994': 
...
en_8850_577_c789f0df': Value('float64'), 'gen_1188_172_91f5bbd8': Value('float64'), 'gen_2034_551_4b59c19c': Value('float64'), 'gen_1299_331_5be79688': Value('float64'), 'gen_1453_600_306057c3': Value('float64'), 'gen_719_487_269df71d': Value('float64'), 'gen_6607_370_f129a5c5': Value('float64'), 'gen_548_153_1dfa362b': Value('float64'), 'gen_8864_46_80342709': Value('float64'), 'gen_6247_931_58fdbb88': Value('float64'), 'gen_4883_788_e478bec3': Value('float64'), 'gen_895_751_c9207ee6': Value('float64'), 'gen_2737_294_90f60a36': Value('float64'), 'gen_8455_1019_3393ac69': Value('float64'), 'gen_773_478_a8817bc9': Value('float64'), 'gen_6587_512_da23f1b0': Value('float64'), 'gen_13154_11_3a4da961': Value('float64'), 'gen_6299_528_7ba0cf55': Value('float64'), 'gen_6964_811_31c67af8': Value('float64'), 'gen_3043_682_4b44cc56': Value('float64'), 'gen_13046_766_5668d9e0': Value('float64'), 'gen_13232_58_6d6c276e': Value('float64'), 'gen_13452_492_2e2f1def': Value('float64'), 'gen_1695_860_8d204347': Value('float64'), 'gen_11775_986_45b54a73': Value('float64'), 'gen_9903_191_e9224c91': Value('float64'), 'gen_11493_452_0932d576': Value('float64'), 'gen_7508_923_a605c02e': Value('float64'), 'gen_9549_306_d60f4717': Value('float64'), 'gen_895_747_be643c93': Value('float64'), 'gen_8864_42_40ee7af2': Value('float64'), 'gen_639_79_c96b7d59': Value('float64'), 'gen_13101_1004_24980a5b': Value('float64'), 'gen_3043_685_c4946ff9': Value('float64'), 'gen_773_475_07c0c22a': 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
              combined_rewards: struct<gen_2108_659_9728fea7: double, gen_1188_175_2db6685b: double, gen_297_16_875be733: double, ge (... 28706 chars omitted)
                child 0, gen_2108_659_9728fea7: double
                child 1, gen_1188_175_2db6685b: double
                child 2, gen_297_16_875be733: double
                child 3, gen_13154_13_6ea23a04: double
                child 4, gen_13736_759_7d1f62b5: double
                child 5, gen_13654_51_798aa60c: double
                child 6, gen_8455_1023_b70405f8: double
                child 7, gen_5893_849_6a75b9ef: double
                child 8, gen_9025_834_450e1d51: double
                child 9, gen_3800_939_0bcd2583: double
                child 10, gen_4632_267_9ae79e8f: double
                child 11, gen_8094_878_1dae71d2: double
                child 12, gen_1868_723_f9bf82d7: double
                child 13, gen_10732_273_49e2c66d: double
                c
              ...
              d 900, gen_6607_370_f129a5c5: double
                    child 901, gen_548_153_1dfa362b: double
                    child 902, gen_8864_46_80342709: double
                    child 903, gen_6247_931_58fdbb88: double
                    child 904, gen_4883_788_e478bec3: double
                    child 905, gen_895_751_c9207ee6: double
                    child 906, gen_2737_294_90f60a36: double
                    child 907, gen_8455_1019_3393ac69: double
                    child 908, gen_773_478_a8817bc9: double
                    child 909, gen_6587_512_da23f1b0: double
                    child 910, gen_13154_11_3a4da961: double
                    child 911, gen_6299_528_7ba0cf55: double
                    child 912, gen_6964_811_31c67af8: double
                    child 913, gen_3043_682_4b44cc56: double
                    child 914, gen_13046_766_5668d9e0: double
                    child 915, gen_13232_58_6d6c276e: double
                    child 916, gen_13452_492_2e2f1def: double
                    child 917, gen_1695_860_8d204347: double
                    child 918, gen_11775_986_45b54a73: double
                    child 919, gen_9903_191_e9224c91: double
                    child 920, gen_11493_452_0932d576: double
                    child 921, gen_7508_923_a605c02e: double
                    child 922, gen_9549_306_d60f4717: double
                    child 923, gen_895_747_be643c93: double
                    child 924, gen_8864_42_40ee7af2: double
                    child 925, gen_639_79_c96b7d59: double
                    child 926, gen_13101_1004_24980a5b: double
                    child 927, gen_3043_685_c4946ff9: double
                    child 928, gen_773_475_07c0c22a: double
              component_weights: struct<influence_rewards: double, invalid_rewards: double>
                child 0, influence_rewards: double
                child 1, invalid_rewards: double
              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_2108_659_9728fea7': Value('float64'), 'gen_1188_175_2db6685b': Value('float64'), 'gen_297_16_875be733': Value('float64'), 'gen_13154_13_6ea23a04': Value('float64'), 'gen_13736_759_7d1f62b5': Value('float64'), 'gen_13654_51_798aa60c': Value('float64'), 'gen_8455_1023_b70405f8': Value('float64'), 'gen_5893_849_6a75b9ef': Value('float64'), 'gen_9025_834_450e1d51': Value('float64'), 'gen_3800_939_0bcd2583': Value('float64'), 'gen_4632_267_9ae79e8f': Value('float64'), 'gen_8094_878_1dae71d2': Value('float64'), 'gen_1868_723_f9bf82d7': Value('float64'), 'gen_10732_273_49e2c66d': Value('float64'), 'gen_9549_305_2fc26e97': Value('float64'), 'gen_1929_98_def32e79': Value('float64'), 'gen_4632_269_e839d91e': Value('float64'), 'gen_10524_25_9521785b': Value('float64'), 'gen_10504_82_a21e4b3f': Value('float64'), 'gen_1695_857_247303c8': Value('float64'), 'gen_1695_856_ac833b7f': Value('float64'), 'gen_5893_855_7cb2871e': Value('float64'), 'gen_1835_647_f80e0c02': Value('float64'), 'gen_3220_973_733c6037': Value('float64'), 'gen_1908_541_7270516a': Value('float64'), 'gen_9864_903_6fc41994': 
              ...
              en_8850_577_c789f0df': Value('float64'), 'gen_1188_172_91f5bbd8': Value('float64'), 'gen_2034_551_4b59c19c': Value('float64'), 'gen_1299_331_5be79688': Value('float64'), 'gen_1453_600_306057c3': Value('float64'), 'gen_719_487_269df71d': Value('float64'), 'gen_6607_370_f129a5c5': Value('float64'), 'gen_548_153_1dfa362b': Value('float64'), 'gen_8864_46_80342709': Value('float64'), 'gen_6247_931_58fdbb88': Value('float64'), 'gen_4883_788_e478bec3': Value('float64'), 'gen_895_751_c9207ee6': Value('float64'), 'gen_2737_294_90f60a36': Value('float64'), 'gen_8455_1019_3393ac69': Value('float64'), 'gen_773_478_a8817bc9': Value('float64'), 'gen_6587_512_da23f1b0': Value('float64'), 'gen_13154_11_3a4da961': Value('float64'), 'gen_6299_528_7ba0cf55': Value('float64'), 'gen_6964_811_31c67af8': Value('float64'), 'gen_3043_682_4b44cc56': Value('float64'), 'gen_13046_766_5668d9e0': Value('float64'), 'gen_13232_58_6d6c276e': Value('float64'), 'gen_13452_492_2e2f1def': Value('float64'), 'gen_1695_860_8d204347': Value('float64'), 'gen_11775_986_45b54a73': Value('float64'), 'gen_9903_191_e9224c91': Value('float64'), 'gen_11493_452_0932d576': Value('float64'), 'gen_7508_923_a605c02e': Value('float64'), 'gen_9549_306_d60f4717': Value('float64'), 'gen_895_747_be643c93': Value('float64'), 'gen_8864_42_40ee7af2': Value('float64'), 'gen_639_79_c96b7d59': Value('float64'), 'gen_13101_1004_24980a5b': Value('float64'), 'gen_3043_685_c4946ff9': Value('float64'), 'gen_773_475_07c0c22a': Value('float64')}}
              because column names don't match