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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    OverflowError
Message:      value too large to convert to int32_t
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1816, in _prepare_split_single
                  for key, table in generator:
                                    ^^^^^^^^^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 613, in wrapped
                  for item in generator(*args, **kwargs):
                              ~~~~~~~~~^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/packaged_modules/json/json.py", line 291, in _generate_tables
                  io.BytesIO(batch), read_options=paj.ReadOptions(block_size=block_size)
                                                  ~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^
                File "pyarrow/_json.pyx", line 54, in pyarrow._json.ReadOptions.__init__
                File "pyarrow/_json.pyx", line 79, in pyarrow._json.ReadOptions.block_size.__set__
                  self.options.block_size = value
              OverflowError: value too large to convert to int32_t
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1369, in compute_config_parquet_and_info_response
                  parquet_operations, partial, estimated_dataset_info = stream_convert_to_parquet(
                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~^
                      builder, max_dataset_size_bytes=max_dataset_size_bytes
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  )
                  ^
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 948, in stream_convert_to_parquet
                  builder._prepare_split(split_generator=splits_generators[split], file_format="parquet")
                  ~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1683, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~^
                      gen_kwargs=gen_kwargs, job_id=job_id, **_prepare_split_args
                      ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
                  ):
                  ^
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1869, in _prepare_split_single
                  raise DatasetGenerationError("An error occurred while generating the dataset") from e
              datasets.exceptions.DatasetGenerationError: An error occurred while generating the dataset

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diffusion_itr_id
string
data_id
string
prompt_ids
list
answer_trajectory_ids
list
teacher_output_ids
list
itr_0
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 13708, 766, 397, 1249, 8253, 279, 2790, 882, 45744, 7391, 20956, 916, 279, 4236, 2849, 11, 358, 3278, 1438, 1495, 1059, 3920, 4115, 369, 1817, 1899, 323, 1221, 2629, 1105, 705, 382, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_1
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 279, 7920, 3920, 882, 553, 220, 18, 311, 1477, 279, 7794, 3920, 882, 382, 1925, 6602, 11, 45744, 19476, 4279, 315, 279, 882, 1340, 7391, 389, 7794, 13, 358, 3278, 1896, 279, 7794, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_2
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 438, 1340, 1521, 504, 7920, 311, 6602, 10856, 13, 358, 3278, 912, 705, 279, 3920, 3039, 504, 7920, 11, 7794, 11, 323, 6602, 323, 1221, 1990, 429, 2790, 369, 279, 9001, 382, 23949, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_3
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 20956, 916, 279, 4236, 2849, 11, 582, 3278, 11047, 1059, 3920, 4115, 369, 1817, 1899, 323, 1221, 2629, 1105, 705, 382, 14374, 14822, 14319, 12, 8304, 12478, 1447, 16, 13, 3070, 40519, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_4
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 882, 624, 256, 481, 74216, 25, 17767, 220, 17, 1124, 1318, 90, 4115, 92, 1124, 15136, 220, 18, 284, 220, 21, 1124, 1318, 90, 4115, 92, 1124, 692, 18, 13, 3070, 34620, 25, 1019, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_5
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 92, 284, 220, 18, 1124, 1318, 90, 4115, 92, 1124, 692, 19, 13, 3070, 17053, 408, 25, 1019, 256, 481, 3070, 1462, 7659, 1122, 66963, 93566, 279, 10856, 3920, 882, 504, 7920, 11, 7...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_6
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 16, 1124, 1318, 90, 4115, 92, 1124, 340, 256, 481, 3070, 17053, 408, 19173, 4120, 66963, 17767, 220, 16, 16, 1124, 1318, 90, 4115, 92, 1124, 15136, 220, 17, 284, 220, 17, 17, 112...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_7
bucket_0045_data_29
[ [ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13,...
[ [ 220, 21, 1124, 1318, 90, 320, 37788, 9139, 488, 220, 18, 1124, 1318, 90, 320, 34620, 9139, 488, 220, 17, 17, 1124, 1318, 90, 320, 17053, 408, 9139, 284, 220, 18, 18, 1124, 1318, ...
[ 151644, 8948, 198, 2610, 525, 1207, 16948, 11, 3465, 553, 54364, 14817, 13, 1446, 525, 264, 10950, 17847, 13, 151645, 198, 151644, 872, 198, 11095, 3001, 1616, 20956, 369, 458, 7006, 13, 2932, 19476, 369, 220, 17, 4115, 389, 7920, 323, ...
itr_8
bucket_0045_data_29
[[151644,8948,198,2610,525,1207,16948,11,3465,553,54364,14817,13,1446,525,264,10950,17847,13,151645,(...TRUNCATED)
[[339,7181,284,220,18,353,10840,7316,220,671,2326,3039,7920,594,3920,882,198,1626,48878,284,270,7181(...TRUNCATED)
[151644,8948,198,2610,525,1207,16948,11,3465,553,54364,14817,13,1446,525,264,10950,17847,13,151645,1(...TRUNCATED)
itr_9
bucket_0045_data_29
[[151644,8948,198,2610,525,1207,16948,11,3465,553,54364,14817,13,1446,525,264,10950,17847,13,151645,(...TRUNCATED)
[[882,198,5035,3009,284,10840,7316,488,270,7181,488,79313,488,9001,271,2,8213,279,2790,3920,882,198,(...TRUNCATED)
[151644,8948,198,2610,525,1207,16948,11,3465,553,54364,14817,13,1446,525,264,10950,17847,13,151645,1(...TRUNCATED)
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