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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
combined_rewards: struct<gen_4076_404_e82bc8b7: double, gen_10282_818_2df5e31d: double, gen_2416_67_30b5bae9: double, (... 27469 chars omitted)
child 0, gen_4076_404_e82bc8b7: double
child 1, gen_10282_818_2df5e31d: double
child 2, gen_2416_67_30b5bae9: double
child 3, gen_11124_770_0e17f5f7: double
child 4, gen_10732_272_074c2c36: double
child 5, gen_1188_171_ee460461: double
child 6, gen_13452_492_f4d6d0f8: double
child 7, gen_9115_381_fbab100d: double
child 8, gen_769_594_49a90c98: double
child 9, gen_4052_908_3b3a8a5a: double
child 10, gen_11493_453_ee960b0b: double
child 11, gen_2342_525_3474935e: double
child 12, gen_4076_405_fa8301a1: double
child 13, gen_4761_610_059861c7: double
...
hild 860, gen_8861_126_955da6f4: double
child 861, gen_4052_906_dd243ec5: double
child 862, gen_1299_330_83f2ab64: double
child 863, gen_4761_615_a528bbd5: double
child 864, gen_5685_117_2b32cb31: double
child 865, gen_13046_760_69f1f928: double
child 866, gen_9379_825_aef32589: double
child 867, gen_4052_905_862e79e3: double
child 868, gen_10992_88_a15d706a: double
child 869, gen_719_480_dff99e65: double
child 870, gen_418_456_5fd93dab: double
child 871, gen_1908_539_848ba994: double
child 872, gen_13631_793_c745707a: double
child 873, gen_4632_264_3b997d3c: double
child 874, gen_8617_238_4a7eba7a: double
child 875, gen_9640_982_272ba9f9: double
child 876, gen_2737_293_08a6b8c8: double
child 877, gen_9903_187_f0132fc6: double
child 878, gen_345_336_a8fc32a6: double
child 879, gen_1835_642_163bbf52: double
child 880, gen_418_458_b5e57e1f: double
child 881, gen_4076_403_9ffde1eb: double
child 882, gen_1166_470_85faa5fa: double
child 883, gen_2416_65_ba65a87d: double
child 884, gen_3390_326_3eb6b374: double
child 885, gen_1453_604_52de3e96: double
child 886, gen_418_461_c2119b07: double
child 887, gen_9549_310_7d3a1c6e: double
child 888, gen_548_152_f1ae892c: 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_4076_404_e82bc8b7': Value('float64'), 'gen_10282_818_2df5e31d': Value('float64'), 'gen_2416_67_30b5bae9': Value('float64'), 'gen_11124_770_0e17f5f7': Value('float64'), 'gen_10732_272_074c2c36': Value('float64'), 'gen_1188_171_ee460461': Value('float64'), 'gen_13452_492_f4d6d0f8': Value('float64'), 'gen_9115_381_fbab100d': Value('float64'), 'gen_769_594_49a90c98': Value('float64'), 'gen_4052_908_3b3a8a5a': Value('float64'), 'gen_11493_453_ee960b0b': Value('float64'), 'gen_2342_525_3474935e': Value('float64'), 'gen_4076_405_fa8301a1': Value('float64'), 'gen_4761_610_059861c7': Value('float64'), 'gen_2737_289_6048dc25': Value('float64'), 'gen_11633_299_83d99e3f': Value('float64'), 'gen_345_341_0db31404': Value('float64'), 'gen_3615_363_27a7ac08': Value('float64'), 'gen_9821_436_eeda9c22': Value('float64'), 'gen_3978_648_32793b11': Value('float64'), 'gen_639_77_f5e4203a': Value('float64'), 'gen_11958_166_5ff4c3e9': Value('float64'), 'gen_13447_207_92bf8e97': Value('float64'), 'gen_9831_870_61a82227': Value('float64'), 'gen_6755_183_a5a58ed5': Value('float64'), 'gen_719_482_d67bd3e9'
...
en_13101_1000_c46adcdc': Value('float64'), 'gen_4632_269_902b1538': Value('float64'), 'gen_13101_1004_aaffb56f': Value('float64'), 'gen_9745_636_c2eeafa3': Value('float64'), 'gen_6964_810_f4bbb168': Value('float64'), 'gen_639_75_aba33247': Value('float64'), 'gen_8861_126_955da6f4': Value('float64'), 'gen_4052_906_dd243ec5': Value('float64'), 'gen_1299_330_83f2ab64': Value('float64'), 'gen_4761_615_a528bbd5': Value('float64'), 'gen_5685_117_2b32cb31': Value('float64'), 'gen_13046_760_69f1f928': Value('float64'), 'gen_9379_825_aef32589': Value('float64'), 'gen_4052_905_862e79e3': Value('float64'), 'gen_10992_88_a15d706a': Value('float64'), 'gen_719_480_dff99e65': Value('float64'), 'gen_418_456_5fd93dab': Value('float64'), 'gen_1908_539_848ba994': Value('float64'), 'gen_13631_793_c745707a': Value('float64'), 'gen_4632_264_3b997d3c': Value('float64'), 'gen_8617_238_4a7eba7a': Value('float64'), 'gen_9640_982_272ba9f9': Value('float64'), 'gen_2737_293_08a6b8c8': Value('float64'), 'gen_9903_187_f0132fc6': Value('float64'), 'gen_345_336_a8fc32a6': Value('float64'), 'gen_1835_642_163bbf52': Value('float64'), 'gen_418_458_b5e57e1f': Value('float64'), 'gen_4076_403_9ffde1eb': Value('float64'), 'gen_1166_470_85faa5fa': Value('float64'), 'gen_2416_65_ba65a87d': Value('float64'), 'gen_3390_326_3eb6b374': Value('float64'), 'gen_1453_604_52de3e96': Value('float64'), 'gen_418_461_c2119b07': Value('float64'), 'gen_9549_310_7d3a1c6e': Value('float64'), 'gen_548_152_f1ae892c': Value('float64')}}
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 489, 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_4076_404_e82bc8b7: double, gen_10282_818_2df5e31d: double, gen_2416_67_30b5bae9: double, (... 27469 chars omitted)
child 0, gen_4076_404_e82bc8b7: double
child 1, gen_10282_818_2df5e31d: double
child 2, gen_2416_67_30b5bae9: double
child 3, gen_11124_770_0e17f5f7: double
child 4, gen_10732_272_074c2c36: double
child 5, gen_1188_171_ee460461: double
child 6, gen_13452_492_f4d6d0f8: double
child 7, gen_9115_381_fbab100d: double
child 8, gen_769_594_49a90c98: double
child 9, gen_4052_908_3b3a8a5a: double
child 10, gen_11493_453_ee960b0b: double
child 11, gen_2342_525_3474935e: double
child 12, gen_4076_405_fa8301a1: double
child 13, gen_4761_610_059861c7: double
...
hild 860, gen_8861_126_955da6f4: double
child 861, gen_4052_906_dd243ec5: double
child 862, gen_1299_330_83f2ab64: double
child 863, gen_4761_615_a528bbd5: double
child 864, gen_5685_117_2b32cb31: double
child 865, gen_13046_760_69f1f928: double
child 866, gen_9379_825_aef32589: double
child 867, gen_4052_905_862e79e3: double
child 868, gen_10992_88_a15d706a: double
child 869, gen_719_480_dff99e65: double
child 870, gen_418_456_5fd93dab: double
child 871, gen_1908_539_848ba994: double
child 872, gen_13631_793_c745707a: double
child 873, gen_4632_264_3b997d3c: double
child 874, gen_8617_238_4a7eba7a: double
child 875, gen_9640_982_272ba9f9: double
child 876, gen_2737_293_08a6b8c8: double
child 877, gen_9903_187_f0132fc6: double
child 878, gen_345_336_a8fc32a6: double
child 879, gen_1835_642_163bbf52: double
child 880, gen_418_458_b5e57e1f: double
child 881, gen_4076_403_9ffde1eb: double
child 882, gen_1166_470_85faa5fa: double
child 883, gen_2416_65_ba65a87d: double
child 884, gen_3390_326_3eb6b374: double
child 885, gen_1453_604_52de3e96: double
child 886, gen_418_461_c2119b07: double
child 887, gen_9549_310_7d3a1c6e: double
child 888, gen_548_152_f1ae892c: 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_4076_404_e82bc8b7': Value('float64'), 'gen_10282_818_2df5e31d': Value('float64'), 'gen_2416_67_30b5bae9': Value('float64'), 'gen_11124_770_0e17f5f7': Value('float64'), 'gen_10732_272_074c2c36': Value('float64'), 'gen_1188_171_ee460461': Value('float64'), 'gen_13452_492_f4d6d0f8': Value('float64'), 'gen_9115_381_fbab100d': Value('float64'), 'gen_769_594_49a90c98': Value('float64'), 'gen_4052_908_3b3a8a5a': Value('float64'), 'gen_11493_453_ee960b0b': Value('float64'), 'gen_2342_525_3474935e': Value('float64'), 'gen_4076_405_fa8301a1': Value('float64'), 'gen_4761_610_059861c7': Value('float64'), 'gen_2737_289_6048dc25': Value('float64'), 'gen_11633_299_83d99e3f': Value('float64'), 'gen_345_341_0db31404': Value('float64'), 'gen_3615_363_27a7ac08': Value('float64'), 'gen_9821_436_eeda9c22': Value('float64'), 'gen_3978_648_32793b11': Value('float64'), 'gen_639_77_f5e4203a': Value('float64'), 'gen_11958_166_5ff4c3e9': Value('float64'), 'gen_13447_207_92bf8e97': Value('float64'), 'gen_9831_870_61a82227': Value('float64'), 'gen_6755_183_a5a58ed5': Value('float64'), 'gen_719_482_d67bd3e9'
...
en_13101_1000_c46adcdc': Value('float64'), 'gen_4632_269_902b1538': Value('float64'), 'gen_13101_1004_aaffb56f': Value('float64'), 'gen_9745_636_c2eeafa3': Value('float64'), 'gen_6964_810_f4bbb168': Value('float64'), 'gen_639_75_aba33247': Value('float64'), 'gen_8861_126_955da6f4': Value('float64'), 'gen_4052_906_dd243ec5': Value('float64'), 'gen_1299_330_83f2ab64': Value('float64'), 'gen_4761_615_a528bbd5': Value('float64'), 'gen_5685_117_2b32cb31': Value('float64'), 'gen_13046_760_69f1f928': Value('float64'), 'gen_9379_825_aef32589': Value('float64'), 'gen_4052_905_862e79e3': Value('float64'), 'gen_10992_88_a15d706a': Value('float64'), 'gen_719_480_dff99e65': Value('float64'), 'gen_418_456_5fd93dab': Value('float64'), 'gen_1908_539_848ba994': Value('float64'), 'gen_13631_793_c745707a': Value('float64'), 'gen_4632_264_3b997d3c': Value('float64'), 'gen_8617_238_4a7eba7a': Value('float64'), 'gen_9640_982_272ba9f9': Value('float64'), 'gen_2737_293_08a6b8c8': Value('float64'), 'gen_9903_187_f0132fc6': Value('float64'), 'gen_345_336_a8fc32a6': Value('float64'), 'gen_1835_642_163bbf52': Value('float64'), 'gen_418_458_b5e57e1f': Value('float64'), 'gen_4076_403_9ffde1eb': Value('float64'), 'gen_1166_470_85faa5fa': Value('float64'), 'gen_2416_65_ba65a87d': Value('float64'), 'gen_3390_326_3eb6b374': Value('float64'), 'gen_1453_604_52de3e96': Value('float64'), 'gen_418_461_c2119b07': Value('float64'), 'gen_9549_310_7d3a1c6e': Value('float64'), 'gen_548_152_f1ae892c': Value('float64')}}
because column names don't matchNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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