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The dataset viewer is not available for this split.
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
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
reward_components: struct<influence_rewards: struct<gen_10122_1_33e40ec0: double, gen_18185_16_fcfcf3b8: double, gen_75 (... 51740 chars omitted)
child 0, influence_rewards: struct<gen_10122_1_33e40ec0: double, gen_18185_16_fcfcf3b8: double, gen_7521_861_2afe71be: double, g (... 25798 chars omitted)
child 0, gen_10122_1_33e40ec0: double
child 1, gen_18185_16_fcfcf3b8: double
child 2, gen_7521_861_2afe71be: double
child 3, gen_5847_167_6b6243fc: double
child 4, gen_13468_635_f3
...
uble
child 790, gen_20373_598_25e6ea88: double
child 791, gen_13069_28_4f5262ee: double
child 792, gen_8769_142_a3dd9fcc: double
child 793, gen_4281_507_39236100: double
child 794, gen_16037_37_2b942cf1: double
child 795, gen_18185_18_7d724246: double
child 796, gen_18389_695_cc205c70: double
child 797, gen_17491_71_99695c0a: double
child 798, gen_5847_163_617843a3: double
child 799, gen_8103_755_65e69abb: double
child 800, gen_2586_949_31aaec7c: double
child 801, gen_12556_443_effcd02a: double
child 802, gen_2177_655_567fa3c0: double
child 803, gen_5716_216_a4d160e7: double
child 804, gen_17491_70_b4e545b3: double
child 805, gen_7554_303_8134f7f1: double
child 806, gen_23037_501_021b883b: double
child 807, gen_8754_293_aa619241: double
child 808, gen_3507_816_4c902e73: double
child 809, gen_19637_354_ed252a0e: double
child 810, gen_5251_676_80698b52: double
child 811, gen_4525_275_dc5ec421: double
child 812, gen_5119_741_2adde5cf: double
child 813, gen_20144_735_e83586ac: double
child 814, gen_4319_975_36c6dc70: double
child 815, gen_1310_237_09879802: double
child 816, gen_8492_641_f7e2305e: double
child 817, gen_23182_45_891d3637: double
child 818, gen_22482_80_635c8361: double
child 819, gen_22482_81_350ab10a: double
child 820, gen_19371_215_ea61b508: double
child 821, gen_10645_659_dd01fdd1: double
child 822, gen_3108_521_31d3ba71: double
known_valid_question_ids: 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_10122_1_33e40ec0': Value('float64'), 'gen_18185_16_fcfcf3b8': Value('float64'), 'gen_7521_861_2afe71be': Value('float64'), 'gen_5847_167_6b6243fc': Value('float64'), 'gen_13468_635_f3ab6425': Value('float64'), 'gen_17148_257_6802c4e8': Value('float64'), 'gen_12194_978_b0408af7': Value('float64'), 'gen_22374_148_43e18987': Value('float64'), 'gen_11762_423_7179c6c6': Value('float64'), 'gen_11762_418_5640a9d0': Value('float64'), 'gen_7679_459_082303ce': Value('float64'), 'gen_23037_499_4292cb7c': Value('float64'), 'gen_11069_528_c85436ae': Value('float64'), 'gen_8204_927_9cd975df': Value('float64'), 'gen_1318_282_562d179f': Value('float64'), 'gen_5245_473_46a2df74': Value('float64'), 'gen_1248_1008_1276295a': Value('float64'), 'gen_20034_837_4e462b7b': Value('float64'), 'gen_8769_137_06036924': Value('float64'), 'gen_4525_279_2b6dc74f': Value('float64'), 'gen_5857_544_4d7aa316': Value('float64'), 'gen_4281_511_221dead6': Value('float64'), 'gen_13069_24_449eaa09': Value('float64'), 'gen_21285_960_cd3372d9': Value('float64'), 'gen_4319_974_cfd7a3cf': Value('float64'), 'gen_1318_284_6
...
_502eae5c': Value('float64'), 'gen_8754_295_63014c48': Value('float64'), 'gen_20373_598_25e6ea88': Value('float64'), 'gen_13069_28_4f5262ee': Value('float64'), 'gen_8769_142_a3dd9fcc': Value('float64'), 'gen_4281_507_39236100': Value('float64'), 'gen_16037_37_2b942cf1': Value('float64'), 'gen_18185_18_7d724246': Value('float64'), 'gen_18389_695_cc205c70': Value('float64'), 'gen_17491_71_99695c0a': Value('float64'), 'gen_5847_163_617843a3': Value('float64'), 'gen_8103_755_65e69abb': Value('float64'), 'gen_2586_949_31aaec7c': Value('float64'), 'gen_12556_443_effcd02a': Value('float64'), 'gen_2177_655_567fa3c0': Value('float64'), 'gen_5716_216_a4d160e7': Value('float64'), 'gen_17491_70_b4e545b3': Value('float64'), 'gen_7554_303_8134f7f1': Value('float64'), 'gen_23037_501_021b883b': Value('float64'), 'gen_8754_293_aa619241': Value('float64'), 'gen_3507_816_4c902e73': Value('float64'), 'gen_19637_354_ed252a0e': Value('float64'), 'gen_5251_676_80698b52': Value('float64'), 'gen_4525_275_dc5ec421': Value('float64'), 'gen_5119_741_2adde5cf': Value('float64'), 'gen_20144_735_e83586ac': Value('float64'), 'gen_4319_975_36c6dc70': Value('float64'), 'gen_1310_237_09879802': Value('float64'), 'gen_8492_641_f7e2305e': Value('float64'), 'gen_23182_45_891d3637': Value('float64'), 'gen_22482_80_635c8361': Value('float64'), 'gen_22482_81_350ab10a': Value('float64'), 'gen_19371_215_ea61b508': Value('float64'), 'gen_10645_659_dd01fdd1': Value('float64'), 'gen_3108_521_31d3ba71': 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
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
reward_components: struct<influence_rewards: struct<gen_10122_1_33e40ec0: double, gen_18185_16_fcfcf3b8: double, gen_75 (... 51740 chars omitted)
child 0, influence_rewards: struct<gen_10122_1_33e40ec0: double, gen_18185_16_fcfcf3b8: double, gen_7521_861_2afe71be: double, g (... 25798 chars omitted)
child 0, gen_10122_1_33e40ec0: double
child 1, gen_18185_16_fcfcf3b8: double
child 2, gen_7521_861_2afe71be: double
child 3, gen_5847_167_6b6243fc: double
child 4, gen_13468_635_f3
...
uble
child 790, gen_20373_598_25e6ea88: double
child 791, gen_13069_28_4f5262ee: double
child 792, gen_8769_142_a3dd9fcc: double
child 793, gen_4281_507_39236100: double
child 794, gen_16037_37_2b942cf1: double
child 795, gen_18185_18_7d724246: double
child 796, gen_18389_695_cc205c70: double
child 797, gen_17491_71_99695c0a: double
child 798, gen_5847_163_617843a3: double
child 799, gen_8103_755_65e69abb: double
child 800, gen_2586_949_31aaec7c: double
child 801, gen_12556_443_effcd02a: double
child 802, gen_2177_655_567fa3c0: double
child 803, gen_5716_216_a4d160e7: double
child 804, gen_17491_70_b4e545b3: double
child 805, gen_7554_303_8134f7f1: double
child 806, gen_23037_501_021b883b: double
child 807, gen_8754_293_aa619241: double
child 808, gen_3507_816_4c902e73: double
child 809, gen_19637_354_ed252a0e: double
child 810, gen_5251_676_80698b52: double
child 811, gen_4525_275_dc5ec421: double
child 812, gen_5119_741_2adde5cf: double
child 813, gen_20144_735_e83586ac: double
child 814, gen_4319_975_36c6dc70: double
child 815, gen_1310_237_09879802: double
child 816, gen_8492_641_f7e2305e: double
child 817, gen_23182_45_891d3637: double
child 818, gen_22482_80_635c8361: double
child 819, gen_22482_81_350ab10a: double
child 820, gen_19371_215_ea61b508: double
child 821, gen_10645_659_dd01fdd1: double
child 822, gen_3108_521_31d3ba71: double
known_valid_question_ids: 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_10122_1_33e40ec0': Value('float64'), 'gen_18185_16_fcfcf3b8': Value('float64'), 'gen_7521_861_2afe71be': Value('float64'), 'gen_5847_167_6b6243fc': Value('float64'), 'gen_13468_635_f3ab6425': Value('float64'), 'gen_17148_257_6802c4e8': Value('float64'), 'gen_12194_978_b0408af7': Value('float64'), 'gen_22374_148_43e18987': Value('float64'), 'gen_11762_423_7179c6c6': Value('float64'), 'gen_11762_418_5640a9d0': Value('float64'), 'gen_7679_459_082303ce': Value('float64'), 'gen_23037_499_4292cb7c': Value('float64'), 'gen_11069_528_c85436ae': Value('float64'), 'gen_8204_927_9cd975df': Value('float64'), 'gen_1318_282_562d179f': Value('float64'), 'gen_5245_473_46a2df74': Value('float64'), 'gen_1248_1008_1276295a': Value('float64'), 'gen_20034_837_4e462b7b': Value('float64'), 'gen_8769_137_06036924': Value('float64'), 'gen_4525_279_2b6dc74f': Value('float64'), 'gen_5857_544_4d7aa316': Value('float64'), 'gen_4281_511_221dead6': Value('float64'), 'gen_13069_24_449eaa09': Value('float64'), 'gen_21285_960_cd3372d9': Value('float64'), 'gen_4319_974_cfd7a3cf': Value('float64'), 'gen_1318_284_6
...
_502eae5c': Value('float64'), 'gen_8754_295_63014c48': Value('float64'), 'gen_20373_598_25e6ea88': Value('float64'), 'gen_13069_28_4f5262ee': Value('float64'), 'gen_8769_142_a3dd9fcc': Value('float64'), 'gen_4281_507_39236100': Value('float64'), 'gen_16037_37_2b942cf1': Value('float64'), 'gen_18185_18_7d724246': Value('float64'), 'gen_18389_695_cc205c70': Value('float64'), 'gen_17491_71_99695c0a': Value('float64'), 'gen_5847_163_617843a3': Value('float64'), 'gen_8103_755_65e69abb': Value('float64'), 'gen_2586_949_31aaec7c': Value('float64'), 'gen_12556_443_effcd02a': Value('float64'), 'gen_2177_655_567fa3c0': Value('float64'), 'gen_5716_216_a4d160e7': Value('float64'), 'gen_17491_70_b4e545b3': Value('float64'), 'gen_7554_303_8134f7f1': Value('float64'), 'gen_23037_501_021b883b': Value('float64'), 'gen_8754_293_aa619241': Value('float64'), 'gen_3507_816_4c902e73': Value('float64'), 'gen_19637_354_ed252a0e': Value('float64'), 'gen_5251_676_80698b52': Value('float64'), 'gen_4525_275_dc5ec421': Value('float64'), 'gen_5119_741_2adde5cf': Value('float64'), 'gen_20144_735_e83586ac': Value('float64'), 'gen_4319_975_36c6dc70': Value('float64'), 'gen_1310_237_09879802': Value('float64'), 'gen_8492_641_f7e2305e': Value('float64'), 'gen_23182_45_891d3637': Value('float64'), 'gen_22482_80_635c8361': Value('float64'), 'gen_22482_81_350ab10a': Value('float64'), 'gen_19371_215_ea61b508': Value('float64'), 'gen_10645_659_dd01fdd1': Value('float64'), 'gen_3108_521_31d3ba71': Value('float64')}}
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