Dataset Viewer
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
selected_components: 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
known_valid_question_ids: list<item: string>
child 0, item: string
reward_components: struct<influence_rewards: struct<gen_3269_199_b668ab78: double, gen_1868_722_27014e46: double, gen_1 (... 55134 c
...
d8456eef: double
child 859, gen_3043_684_b0e59ad1: double
child 860, gen_4612_1013_f92be7b6: double
child 861, gen_4761_612_1ac3b9a5: double
child 862, gen_2416_64_2307c0cc: double
child 863, gen_1403_240_bc5dbf8c: double
child 864, gen_2034_545_6c35ef2a: double
child 865, gen_9549_309_352d5d22: double
child 866, gen_102_501_156c1afc: double
child 867, gen_4172_591_df8f5ed7: double
child 868, gen_435_692_92a75bf4: double
child 869, gen_6953_998_1e42104f: double
child 870, gen_6755_182_83e0569d: double
child 871, gen_9379_830_6a319798: double
child 872, gen_778_947_b3b48da3: double
child 873, gen_13654_49_bec9a606: double
child 874, gen_4761_610_059861c7: double
child 875, gen_11493_454_e372a4d3: double
child 876, gen_6607_375_d4f44fb5: double
child 877, gen_3615_361_821e5f68: double
child 878, gen_4076_407_9d7d1464: double
child 879, gen_8617_239_aea6fff3: double
child 880, gen_9379_831_bd19d704: double
child 881, gen_6964_809_8ebaf714: double
child 882, gen_10954_574_8d3fb638: double
child 883, gen_10282_819_0d8cf4aa: double
child 884, gen_13365_956_8d505f99: double
child 885, gen_4052_911_5d5b3ac1: double
child 886, gen_13654_52_6d9b54ba: double
child 887, gen_6917_426_4859b858: double
child 888, gen_13232_59_f69aa82c: double
child 889, gen_1203_508_f7000c19: 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_3269_199_b668ab78': Value('float64'), 'gen_1868_722_27014e46': Value('float64'), 'gen_11124_772_68b39930': Value('float64'), 'gen_548_152_d41f1bff': Value('float64'), 'gen_2099_356_1be441a8': Value('float64'), 'gen_6953_992_478ad1dd': Value('float64'), 'gen_12461_111_a3f4e14f': Value('float64'), 'gen_7205_215_3b70bc30': Value('float64'), 'gen_10992_94_965bcd88': Value('float64'), 'gen_2099_355_28062573': Value('float64'), 'gen_10832_624_33533b78': Value('float64'), 'gen_4076_401_1a82dfe6': Value('float64'), 'gen_10524_24_cdaae6e6': Value('float64'), 'gen_4076_402_6ae69fa6': Value('float64'), 'gen_9903_189_c428e08f': Value('float64'), 'gen_4761_613_f395b94a': Value('float64'), 'gen_9025_838_2e8efd06': Value('float64'), 'gen_4010_446_4ac657e5': Value('float64'), 'gen_639_78_9bbb4922': Value('float64'), 'gen_895_750_076c6690': Value('float64'), 'gen_7205_212_ca69aa13': Value('float64'), 'gen_11124_768_a4a454c5': Value('float64'), 'gen_1835_640_a60d63a0': Value('float64'), 'gen_1835_647_a27ea1f8': Value('float64'), 'gen_7483_673_943a7097': Value('float64'), 'gen_1868_726_01539e96':
...
800_942_a8c7acb2': Value('float64'), 'gen_2034_546_aeb6bf07': Value('float64'), 'gen_8617_237_dd8ca0d6': Value('float64'), 'gen_1203_504_d8456eef': Value('float64'), 'gen_3043_684_b0e59ad1': Value('float64'), 'gen_4612_1013_f92be7b6': Value('float64'), 'gen_4761_612_1ac3b9a5': Value('float64'), 'gen_2416_64_2307c0cc': Value('float64'), 'gen_1403_240_bc5dbf8c': Value('float64'), 'gen_2034_545_6c35ef2a': Value('float64'), 'gen_9549_309_352d5d22': Value('float64'), 'gen_102_501_156c1afc': Value('float64'), 'gen_4172_591_df8f5ed7': Value('float64'), 'gen_435_692_92a75bf4': Value('float64'), 'gen_6953_998_1e42104f': Value('float64'), 'gen_6755_182_83e0569d': Value('float64'), 'gen_9379_830_6a319798': Value('float64'), 'gen_778_947_b3b48da3': Value('float64'), 'gen_13654_49_bec9a606': Value('float64'), 'gen_4761_610_059861c7': Value('float64'), 'gen_11493_454_e372a4d3': Value('float64'), 'gen_6607_375_d4f44fb5': Value('float64'), 'gen_3615_361_821e5f68': Value('float64'), 'gen_4076_407_9d7d1464': Value('float64'), 'gen_8617_239_aea6fff3': Value('float64'), 'gen_9379_831_bd19d704': Value('float64'), 'gen_6964_809_8ebaf714': Value('float64'), 'gen_10954_574_8d3fb638': Value('float64'), 'gen_10282_819_0d8cf4aa': Value('float64'), 'gen_13365_956_8d505f99': Value('float64'), 'gen_4052_911_5d5b3ac1': Value('float64'), 'gen_13654_52_6d9b54ba': Value('float64'), 'gen_6917_426_4859b858': Value('float64'), 'gen_13232_59_f69aa82c': Value('float64'), 'gen_1203_508_f7000c19': 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
selected_components: 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
known_valid_question_ids: list<item: string>
child 0, item: string
reward_components: struct<influence_rewards: struct<gen_3269_199_b668ab78: double, gen_1868_722_27014e46: double, gen_1 (... 55134 c
...
d8456eef: double
child 859, gen_3043_684_b0e59ad1: double
child 860, gen_4612_1013_f92be7b6: double
child 861, gen_4761_612_1ac3b9a5: double
child 862, gen_2416_64_2307c0cc: double
child 863, gen_1403_240_bc5dbf8c: double
child 864, gen_2034_545_6c35ef2a: double
child 865, gen_9549_309_352d5d22: double
child 866, gen_102_501_156c1afc: double
child 867, gen_4172_591_df8f5ed7: double
child 868, gen_435_692_92a75bf4: double
child 869, gen_6953_998_1e42104f: double
child 870, gen_6755_182_83e0569d: double
child 871, gen_9379_830_6a319798: double
child 872, gen_778_947_b3b48da3: double
child 873, gen_13654_49_bec9a606: double
child 874, gen_4761_610_059861c7: double
child 875, gen_11493_454_e372a4d3: double
child 876, gen_6607_375_d4f44fb5: double
child 877, gen_3615_361_821e5f68: double
child 878, gen_4076_407_9d7d1464: double
child 879, gen_8617_239_aea6fff3: double
child 880, gen_9379_831_bd19d704: double
child 881, gen_6964_809_8ebaf714: double
child 882, gen_10954_574_8d3fb638: double
child 883, gen_10282_819_0d8cf4aa: double
child 884, gen_13365_956_8d505f99: double
child 885, gen_4052_911_5d5b3ac1: double
child 886, gen_13654_52_6d9b54ba: double
child 887, gen_6917_426_4859b858: double
child 888, gen_13232_59_f69aa82c: double
child 889, gen_1203_508_f7000c19: 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_3269_199_b668ab78': Value('float64'), 'gen_1868_722_27014e46': Value('float64'), 'gen_11124_772_68b39930': Value('float64'), 'gen_548_152_d41f1bff': Value('float64'), 'gen_2099_356_1be441a8': Value('float64'), 'gen_6953_992_478ad1dd': Value('float64'), 'gen_12461_111_a3f4e14f': Value('float64'), 'gen_7205_215_3b70bc30': Value('float64'), 'gen_10992_94_965bcd88': Value('float64'), 'gen_2099_355_28062573': Value('float64'), 'gen_10832_624_33533b78': Value('float64'), 'gen_4076_401_1a82dfe6': Value('float64'), 'gen_10524_24_cdaae6e6': Value('float64'), 'gen_4076_402_6ae69fa6': Value('float64'), 'gen_9903_189_c428e08f': Value('float64'), 'gen_4761_613_f395b94a': Value('float64'), 'gen_9025_838_2e8efd06': Value('float64'), 'gen_4010_446_4ac657e5': Value('float64'), 'gen_639_78_9bbb4922': Value('float64'), 'gen_895_750_076c6690': Value('float64'), 'gen_7205_212_ca69aa13': Value('float64'), 'gen_11124_768_a4a454c5': Value('float64'), 'gen_1835_640_a60d63a0': Value('float64'), 'gen_1835_647_a27ea1f8': Value('float64'), 'gen_7483_673_943a7097': Value('float64'), 'gen_1868_726_01539e96':
...
800_942_a8c7acb2': Value('float64'), 'gen_2034_546_aeb6bf07': Value('float64'), 'gen_8617_237_dd8ca0d6': Value('float64'), 'gen_1203_504_d8456eef': Value('float64'), 'gen_3043_684_b0e59ad1': Value('float64'), 'gen_4612_1013_f92be7b6': Value('float64'), 'gen_4761_612_1ac3b9a5': Value('float64'), 'gen_2416_64_2307c0cc': Value('float64'), 'gen_1403_240_bc5dbf8c': Value('float64'), 'gen_2034_545_6c35ef2a': Value('float64'), 'gen_9549_309_352d5d22': Value('float64'), 'gen_102_501_156c1afc': Value('float64'), 'gen_4172_591_df8f5ed7': Value('float64'), 'gen_435_692_92a75bf4': Value('float64'), 'gen_6953_998_1e42104f': Value('float64'), 'gen_6755_182_83e0569d': Value('float64'), 'gen_9379_830_6a319798': Value('float64'), 'gen_778_947_b3b48da3': Value('float64'), 'gen_13654_49_bec9a606': Value('float64'), 'gen_4761_610_059861c7': Value('float64'), 'gen_11493_454_e372a4d3': Value('float64'), 'gen_6607_375_d4f44fb5': Value('float64'), 'gen_3615_361_821e5f68': Value('float64'), 'gen_4076_407_9d7d1464': Value('float64'), 'gen_8617_239_aea6fff3': Value('float64'), 'gen_9379_831_bd19d704': Value('float64'), 'gen_6964_809_8ebaf714': Value('float64'), 'gen_10954_574_8d3fb638': Value('float64'), 'gen_10282_819_0d8cf4aa': Value('float64'), 'gen_13365_956_8d505f99': Value('float64'), 'gen_4052_911_5d5b3ac1': Value('float64'), 'gen_13654_52_6d9b54ba': Value('float64'), 'gen_6917_426_4859b858': Value('float64'), 'gen_13232_59_f69aa82c': Value('float64'), 'gen_1203_508_f7000c19': 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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