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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
counts: struct<label1|parity0: int64, label1|parity1: int64, label2|parity0: int64, label2|parity1: int64, l (... 44 chars omitted)
  child 0, label1|parity0: int64
  child 1, label1|parity1: int64
  child 2, label2|parity0: int64
  child 3, label2|parity1: int64
  child 4, label3|parity0: int64
  child 5, label3|parity1: int64
n_questions: struct<nothink_ans|parity0: int64, nothink_ans|parity1: int64, think_ans|parity0: int64, think_ans|p (... 118 chars omitted)
  child 0, nothink_ans|parity0: int64
  child 1, nothink_ans|parity1: int64
  child 2, think_ans|parity0: int64
  child 3, think_ans|parity1: int64
  child 4, think_cot|parity0: int64
  child 5, think_cot|parity1: int64
  child 6, think_gen|parity0: int64
  child 7, think_gen|parity1: int64
layers: struct<0: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: dou (... 29592 chars omitted)
  child 0, 0: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: double, cot:  (... 358 chars omitted)
      child 0, hnorm: double
      child 1, split_cos_think: double
      child 2, norm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
          child 0, think: double
          child 1, think_pool: double
          child 2, cot: double
          child 3, ans: double
          child 4, rand: double
      child 3, norm_over_hnorm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
          child 
...
, 63: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: double, cot:  (... 358 chars omitted)
      child 0, hnorm: double
      child 1, split_cos_think: double
      child 2, norm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
          child 0, think: double
          child 1, think_pool: double
          child 2, cot: double
          child 3, ans: double
          child 4, rand: double
      child 3, norm_over_hnorm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
          child 0, think: double
          child 1, think_pool: double
          child 2, cot: double
          child 3, ans: double
          child 4, rand: double
      child 4, cos: struct<think|think_pool: double, think|cot: double, think|ans: double, think|rand: double, think_poo (... 116 chars omitted)
          child 0, think|think_pool: double
          child 1, think|cot: double
          child 2, think|ans: double
          child 3, think|rand: double
          child 4, think_pool|cot: double
          child 5, think_pool|ans: double
          child 6, think_pool|rand: double
          child 7, cot|ans: double
          child 8, cot|rand: double
          child 9, ans|rand: double
qid: int64
n_cot: int64
text: string
finish: string
labels: list<item: int64>
  child 0, item: int64
output_ids: list<item: int64>
  child 0, item: int64
mode: string
prompt_ids: list<item: int64>
  child 0, item: int64
to
{'qid': Value('int64'), 'mode': Value('string'), 'prompt_ids': List(Value('int64')), 'output_ids': List(Value('int64')), 'labels': List(Value('int64')), 'text': Value('string'), 'finish': Value('string'), 'n_cot': Value('int64')}
because column names don't match
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.14/site-packages/datasets/builder.py", line 1827, 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 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 2378, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/usr/local/lib/python3.14/site-packages/datasets/table.py", line 2306, in cast_table_to_schema
                  raise CastError(
                  ...<3 lines>...
                  )
              datasets.table.CastError: Couldn't cast
              counts: struct<label1|parity0: int64, label1|parity1: int64, label2|parity0: int64, label2|parity1: int64, l (... 44 chars omitted)
                child 0, label1|parity0: int64
                child 1, label1|parity1: int64
                child 2, label2|parity0: int64
                child 3, label2|parity1: int64
                child 4, label3|parity0: int64
                child 5, label3|parity1: int64
              n_questions: struct<nothink_ans|parity0: int64, nothink_ans|parity1: int64, think_ans|parity0: int64, think_ans|p (... 118 chars omitted)
                child 0, nothink_ans|parity0: int64
                child 1, nothink_ans|parity1: int64
                child 2, think_ans|parity0: int64
                child 3, think_ans|parity1: int64
                child 4, think_cot|parity0: int64
                child 5, think_cot|parity1: int64
                child 6, think_gen|parity0: int64
                child 7, think_gen|parity1: int64
              layers: struct<0: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: dou (... 29592 chars omitted)
                child 0, 0: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: double, cot:  (... 358 chars omitted)
                    child 0, hnorm: double
                    child 1, split_cos_think: double
                    child 2, norm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
                        child 0, think: double
                        child 1, think_pool: double
                        child 2, cot: double
                        child 3, ans: double
                        child 4, rand: double
                    child 3, norm_over_hnorm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
                        child 
              ...
              , 63: struct<hnorm: double, split_cos_think: double, norm: struct<think: double, think_pool: double, cot:  (... 358 chars omitted)
                    child 0, hnorm: double
                    child 1, split_cos_think: double
                    child 2, norm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
                        child 0, think: double
                        child 1, think_pool: double
                        child 2, cot: double
                        child 3, ans: double
                        child 4, rand: double
                    child 3, norm_over_hnorm: struct<think: double, think_pool: double, cot: double, ans: double, rand: double>
                        child 0, think: double
                        child 1, think_pool: double
                        child 2, cot: double
                        child 3, ans: double
                        child 4, rand: double
                    child 4, cos: struct<think|think_pool: double, think|cot: double, think|ans: double, think|rand: double, think_poo (... 116 chars omitted)
                        child 0, think|think_pool: double
                        child 1, think|cot: double
                        child 2, think|ans: double
                        child 3, think|rand: double
                        child 4, think_pool|cot: double
                        child 5, think_pool|ans: double
                        child 6, think_pool|rand: double
                        child 7, cot|ans: double
                        child 8, cot|rand: double
                        child 9, ans|rand: double
              qid: int64
              n_cot: int64
              text: string
              finish: string
              labels: list<item: int64>
                child 0, item: int64
              output_ids: list<item: int64>
                child 0, item: int64
              mode: string
              prompt_ids: list<item: int64>
                child 0, item: int64
              to
              {'qid': Value('int64'), 'mode': Value('string'), 'prompt_ids': List(Value('int64')), 'output_ids': List(Value('int64')), 'labels': List(Value('int64')), 'text': Value('string'), 'finish': Value('string'), 'n_cot': Value('int64')}
              because column names don't match
              
              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 1694, 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 1879, 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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qid
int64
mode
string
prompt_ids
list
output_ids
list
labels
list
text
string
finish
string
n_cot
int64
5,716
think
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[ 1596, 1144, 4087, 49969, 22445, 23104, 13, 14235, 1683, 15060, 13, 2570, 16561, 25, 4170, 314, 65615, 682, 1330, 6734, 10201, 364, 8495, 314, 3177, 579, 6522, 6734, 3674, 357, 321, 6734, 3674, 417, 13, 8020, 22940, 494, 6734, 3674, 357,...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
We need answer governmental accounting classification. Need think carefully. User asks: City of Cobb has two trust funds for benefit of city's library trust fund A and trust fund B. Only earnings from trust fund A can be expended and both principal and interest from trust fund B can be expended. How should city report ...
stop
1,691
12,193
think
[ 248045, 8678, 198, 24342, 286, 4879, 369, 716, 310, 830, 11553, 13, 5044, 1683, 15060, 1472, 279, 3274, 11, 9307, 1328, 30800, 11, 2814, 47675, 25605, 11, 321, 60445, 55404, 11, 27224, 11, 321, 30246, 303, 279, 1534, 4087, 13, 248046, ...
[ 1596, 1144, 4087, 4145, 5081, 5576, 13, 14235, 1534, 3443, 93365, 25, 1543, 13, 15380, 25, 357, 17190, 1324, 1785, 682, 1204, 1599, 17955, 13, 14147, 25, 357, 8, 220, 15, 417, 8, 220, 16, 351, 8, 220, 17, 414, 8, 220, 16, 15, 13...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
We need answer simple multiple choice. Need final format ANSW: X. Question: A Binary number system has how many digits. Options: A) 0 B) 1 C) 2 D) 10. Binary has two digits 0 and 1. So C. Ensure exact format 'ANSWER: C'. </think> ANSWER: C<|im_end|>
stop
68
2,582
think
[ 248045, 8678, 198, 24342, 286, 4879, 369, 716, 310, 830, 11553, 13, 5044, 1683, 15060, 1472, 279, 3274, 11, 9307, 1328, 30800, 11, 2814, 47675, 25605, 11, 321, 60445, 55404, 11, 27224, 11, 321, 30246, 303, 279, 1534, 4087, 13, 248046, ...
[ 1596, 1144, 4087, 20232, 48, 13, 14235, 1683, 15060, 13, 2570, 16561, 25, 328, 32, 4252, 4952, 883, 279, 3988, 16096, 9407, 314, 40063, 494, 2086, 3992, 10428, 369, 6040, 424, 1, 4507, 82170, 328, 8761, 424, 3158, 14147, 357, 11667, 1...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
We need answer MCQ. Need think carefully. User asks: "A correct statement about the early babbling of infants from different language communities is chat it" probably typo "that it". Options A-J. Need choose letter. We need know developmental psycholinguistics: early babbling is universal, same across languages until? ...
stop
862
2,617
think
[ 248045, 8678, 198, 24342, 286, 4879, 369, 716, 310, 830, 11553, 13, 5044, 1683, 15060, 1472, 279, 3274, 11, 9307, 1328, 30800, 11, 2814, 47675, 25605, 11, 321, 60445, 55404, 11, 27224, 11, 321, 30246, 303, 279, 1534, 4087, 13, 248046, ...
[ 1596, 1144, 4087, 264, 5081, 60514, 3296, 13, 14235, 1683, 15060, 13, 2570, 16561, 25, 63479, 29551, 369, 264, 4499, 5716, 310, 5138, 30794, 948, 25, 2519, 13, 14235, 4087, 3443, 93365, 622, 25, 1543, 13, 271, 15410, 38189, 29551, 318, ...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
We need answer a multiple-choice question. Need think carefully. User asks: Statistical regression is a potential threat to internal validity when: options. Need answer format ANSWER: X. Statistical regression (regression toward the mean) occurs when participants are selected based on extreme scores on pretest, so sub...
stop
155
4,223
think
[ 248045, 8678, 198, 24342, 286, 4879, 369, 716, 310, 830, 11553, 13, 5044, 1683, 15060, 1472, 279, 3274, 11, 9307, 1328, 30800, 11, 2814, 47675, 25605, 11, 321, 60445, 55404, 11, 27224, 11, 321, 30246, 303, 279, 1534, 4087, 13, 248046, ...
[ 1596, 1144, 11290, 28829, 14, 64510, 6605, 2253, 3377, 13, 14235, 3300, 1534, 4087, 3443, 93365, 622, 25, 1543, 13, 6558, 579, 22903, 15060, 13, 271, 30177, 25, 414, 52116, 44286, 9896, 440, 81206, 6605, 506, 33056, 7035, 321, 1669, 643...
[ 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1...
We need solve chemistry/physics gas law problem. Need provide final answer format ANSWER: X. Let's analyze carefully. Problem: Dumas bulb filled with chlorine gas at ambient pressure and found contain 7.1 g chlorine when temperature T K. Bulb then placed in second thermostat bath temperature 30°C hotter than first. St...
length
16,384
1,068
think
[248045,8678,198,24342,286,4879,369,716,310,830,11553,13,5044,1683,15060,1472,279,3274,11,9307,1328,(...TRUNCATED)
[1596,1144,4087,264,5081,5576,5598,5721,961,1768,3047,3296,13,14235,10229,10824,6148,4222,961,42604,(...TRUNCATED)
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)
"We need answer a multiple choice legal evidence admissibility question. Need identify LEAST likely (...TRUNCATED)
length
16,384
1,811
think
[248045,8678,198,24342,286,4879,369,716,310,830,11553,13,5044,1683,15060,1472,279,3274,11,9307,1328,(...TRUNCATED)
[1596,1144,4087,5598,5081,5576,13,14235,22903,13,26472,13,4543,2781,13,271,14162,25,11792,2253,56467(...TRUNCATED)
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)
"We need answer legal multiple choice. Need analyze. Done. Now reason.\n\nQuestion: Federal law proh(...TRUNCATED)
stop
11,137
12,180
think
[248045,8678,198,24342,286,4879,369,716,310,830,11553,13,5044,1683,15060,1472,279,3274,11,9307,1328,(...TRUNCATED)
[1596,1144,4087,5081,5576,13,14235,11290,13,21397,25,328,193137,1885,321,32346,2195,305,2077,513,923(...TRUNCATED)
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)
"We need answer multiple choice. Need solve. Problem: \"Benzene and iso-pentane are mixed at 1.5 atm(...TRUNCATED)
stop
10,788
2,374
think
[248045,8678,198,24342,286,4879,369,716,310,830,11553,13,5044,1683,15060,1472,279,3274,11,9307,1328,(...TRUNCATED)
[1596,1144,4087,264,5081,60514,74416,3296,13,14235,7936,1534,3443,93365,622,25,1543,13,6558,579,2290(...TRUNCATED)
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)
"We need answer a multiple-choice physiology question. Need produce final format ANSWER: X. Let's an(...TRUNCATED)
stop
317
6,409
think
[248045,8678,198,24342,286,4879,369,716,310,830,11553,13,5044,1683,15060,1472,279,3274,11,9307,1328,(...TRUNCATED)
[1596,1144,4087,20232,48,13,14235,1683,15060,13,2570,16561,25,15451,7911,682,4045,3816,430,1691,1761(...TRUNCATED)
[1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1(...TRUNCATED)
"We need answer MCQ. Need think carefully. User asks: Which factor has NOT received as much support (...TRUNCATED)
stop
9,820
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