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The dataset generation failed
Error code:   DatasetGenerationError
Exception:    CastError
Message:      Couldn't cast
pass@1: double
pass@1_ci95: list<item: double>
  child 0, item: double
pass@1_sd_boot: double
pass@1_by_rollout_index: list<item: double>
  child 0, item: double
pass@1_sd_rollouts: double
pass@8: null
pass@16: null
cap_rate: double
n_problems: int64
n_rollouts: int64
rollouts_per_problem: int64
max_tokens_used: list<item: int64>
  child 0, item: int64
prompt_style: list<item: null>
  child 0, item: null
median_output_tokens: int64
mean_output_tokens: double
expected_problems: int64
complete: bool
files: list<item: string>
  child 0, item: string
per_problem: struct<precalculus__8ee539: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tok (... 141546 chars omitted)
  child 0, precalculus__8ee539: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list<item: int64>, answ (... 159 chars omitted)
      child 0, rollout_index: list<item: int64>
          child 0, item: int64
      child 1, correct: list<item: int64>
          child 0, item: int64
      child 2, tokens: list<item: int64>
          child 0, item: int64
      child 3, answer: list<item: null>
          child 0, item: null
      child 4, hit_cap: list<item: int64>
          child 0, item: int64
      child 5, answer_end_frac: list<item: double>
          child 0, item: double
      child 6, answer_marker: list<item: string>
          child 0, item: string
      child 7, answer_end_tokens: list<item: int64>
          child 0, item: int64
  child 1, intermediate_algebra__f4
...
em: string>
          child 0, item: string
      child 7, answer_end_tokens: list<item: int64>
          child 0, item: int64
cell: string
arm: string
arm_prefix: string
tokenizer: string
uses_exec_correct: bool
source: string
aggregate_by_k: struct<1: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>, 2: st (... 258 chars omitted)
  child 0, 1: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
      child 0, k: int64
      child 1, expected_tokens: double
      child 2, pass_at_k: double
      child 3, majority_at_k: double
  child 1, 2: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
      child 0, k: int64
      child 1, expected_tokens: double
      child 2, pass_at_k: double
      child 3, majority_at_k: double
  child 2, 3: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
      child 0, k: int64
      child 1, expected_tokens: double
      child 2, pass_at_k: double
      child 3, majority_at_k: double
  child 3, 4: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
      child 0, k: int64
      child 1, expected_tokens: double
      child 2, pass_at_k: double
      child 3, majority_at_k: double
aggregate_by_k_doc: string
committed: bool
hit_token_cap: bool
label: string
correct: bool
completion: string
problem_key: string
rollout_index: int64
output_tokens: int64
steer: string
finish_reason: string
to
{'problem_key': Value('string'), 'rollout_index': Value('int64'), 'arm': Value('string'), 'steer': Value('string'), 'label': Value('string'), 'committed': Value('bool'), 'correct': Value('bool'), 'hit_token_cap': Value('bool'), 'finish_reason': Value('string'), 'output_tokens': Value('int64'), 'max_tokens_used': Value('int64'), 'completion': Value('string')}
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
              pass@1: double
              pass@1_ci95: list<item: double>
                child 0, item: double
              pass@1_sd_boot: double
              pass@1_by_rollout_index: list<item: double>
                child 0, item: double
              pass@1_sd_rollouts: double
              pass@8: null
              pass@16: null
              cap_rate: double
              n_problems: int64
              n_rollouts: int64
              rollouts_per_problem: int64
              max_tokens_used: list<item: int64>
                child 0, item: int64
              prompt_style: list<item: null>
                child 0, item: null
              median_output_tokens: int64
              mean_output_tokens: double
              expected_problems: int64
              complete: bool
              files: list<item: string>
                child 0, item: string
              per_problem: struct<precalculus__8ee539: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tok (... 141546 chars omitted)
                child 0, precalculus__8ee539: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list<item: int64>, answ (... 159 chars omitted)
                    child 0, rollout_index: list<item: int64>
                        child 0, item: int64
                    child 1, correct: list<item: int64>
                        child 0, item: int64
                    child 2, tokens: list<item: int64>
                        child 0, item: int64
                    child 3, answer: list<item: null>
                        child 0, item: null
                    child 4, hit_cap: list<item: int64>
                        child 0, item: int64
                    child 5, answer_end_frac: list<item: double>
                        child 0, item: double
                    child 6, answer_marker: list<item: string>
                        child 0, item: string
                    child 7, answer_end_tokens: list<item: int64>
                        child 0, item: int64
                child 1, intermediate_algebra__f4
              ...
              em: string>
                        child 0, item: string
                    child 7, answer_end_tokens: list<item: int64>
                        child 0, item: int64
              cell: string
              arm: string
              arm_prefix: string
              tokenizer: string
              uses_exec_correct: bool
              source: string
              aggregate_by_k: struct<1: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>, 2: st (... 258 chars omitted)
                child 0, 1: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
                    child 0, k: int64
                    child 1, expected_tokens: double
                    child 2, pass_at_k: double
                    child 3, majority_at_k: double
                child 1, 2: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
                    child 0, k: int64
                    child 1, expected_tokens: double
                    child 2, pass_at_k: double
                    child 3, majority_at_k: double
                child 2, 3: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
                    child 0, k: int64
                    child 1, expected_tokens: double
                    child 2, pass_at_k: double
                    child 3, majority_at_k: double
                child 3, 4: struct<k: int64, expected_tokens: double, pass_at_k: double, majority_at_k: double>
                    child 0, k: int64
                    child 1, expected_tokens: double
                    child 2, pass_at_k: double
                    child 3, majority_at_k: double
              aggregate_by_k_doc: string
              committed: bool
              hit_token_cap: bool
              label: string
              correct: bool
              completion: string
              problem_key: string
              rollout_index: int64
              output_tokens: int64
              steer: string
              finish_reason: string
              to
              {'problem_key': Value('string'), 'rollout_index': Value('int64'), 'arm': Value('string'), 'steer': Value('string'), 'label': Value('string'), 'committed': Value('bool'), 'correct': Value('bool'), 'hit_token_cap': Value('bool'), 'finish_reason': Value('string'), 'output_tokens': Value('int64'), 'max_tokens_used': Value('int64'), 'completion': Value('string')}
              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 1880, 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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problem_key
string
rollout_index
int64
arm
string
steer
string
label
string
committed
bool
correct
bool
hit_token_cap
bool
finish_reason
string
output_tokens
int64
max_tokens_used
int64
completion
string
precalculus__8ee539
0
none
base
run
false
false
false
stop
1
7,168
precalculus__8ee539
1
none
base
run
false
false
true
length
7,168
7,168
and not on its own line. In this case, the line of the problem is the same as the line of the problem. For example, the line of the problem is the same as the line of the problem. For example, if $r$ is the same as the line of the problem, the line of the problem is the same as the line of the problem. In this cas...
precalculus__8ee539
2
none
base
run
false
false
true
length
7,168
7,168
only the answer is "yes." For example, if $r > 0$ and $0 \le \theta < 2 \pi.$ The following example shows the following example: if $r > 0$ and $r > 0$ and $r > 0$ then the solution $r > 0$ and $r > 0$ is the solution $r > 0$ and $r > 0$ then $r > 0$ and $r > 0$ and $r > 0$ then $r > 0$ and $r > 0$ then $r > 0$. If ...
precalculus__8ee539
3
none
base
run
false
false
true
length
7,168
7,168
the answer is $0 \le \theta < 1$. The problem is that the solution to this problem is to calculate the solution to this problem and get to the solution to the problem. If the solution to this problem is to use $r=\theta < 1$. The solution to this problem is to solve the problem. If the solution to this problem is t...
intermediate_algebra__f4e837
0
none
base
run
false
false
true
length
7,168
7,168
but this time for $k = 1$. This can be done by using the following formula: $$\frac{p^2(\sum_{k = 1}^\infty \frac{1}{k^2} \quad \text{and} \quad q = \sum_{k = 1}^\infty \frac{1}{(1 + k)^3} \quad \text{and} \quad q = \sum_{k = 1}^\infty \frac{1}{(1 + k)^3} \quad \text{and} \quad q = \sum_{k = 1}^\infty \frac{1}{(1 + k...
intermediate_algebra__f4e837
1
none
base
run
false
false
true
length
7,168
7,168
then, we can use the following expression to find the solution and find the solution in this way. \[\sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q$; \[\sum_{j = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q$; \[\sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$; \[\sum_{k = 1}^\infty \fr...
intermediate_algebra__f4e837
2
none
base
run
false
false
true
length
7,168
7,168
and "Answer." \[\sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q = \sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q.$ Define $\sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q.$ By the above example, we have $\sum_{k = 1}^\infty \frac{1}{(j + k)^3}\]in terms of $p$ and $q.$ ...
intermediate_algebra__f4e837
3
none
base
run
false
false
false
stop
17
7,168
Please be careful with your answer. We will provide your answer with the following.
algebra__96e5cb
0
none
base
run
false
false
true
length
7,168
7,168
for example, if you can't have a solution, what is the solution. If $f(x) = \frac{3x}{x-1}$, what is the solution? If $f(x) = \frac{3x}{x-1}$, what is the solution? If $f(x) = \frac{3x}{x-1}$, what is the solution? If $f(x) = \frac{3x}{x-1}$, what is the solution? If $f(x) = \frac{3x}{x-1}$, what is the solution? If $...
algebra__96e5cb
1
none
base
run
false
false
false
stop
97
7,168
and then have your answer on its own line. If $f(x) = 1$ and $f(x) = 1$ then $f(x) = 1$ and $f(x) = 1$ and $f'(x) = 1$ and $f'(x) = 1$ and $f'(x) = 1$ and $f'(x) = 1$ and $f'(x) = 1$.
algebra__96e5cb
2
none
base
run
false
false
true
length
7,168
7,168
in this case, you are not sure of the answer to the problem. It is not necessary to make the same mistake, since it is not necessary to make the same mistake. However, it is not necessary to make the same mistake, since it is not necessary to make the same mistake. The other problem is the same as the other problem. F...
algebra__96e5cb
3
none
base
run
false
false
true
length
7,168
7,168
the answer will be the answer to the problem. In the above example, the answer will be the same as the answer to the problem. For example, if $f(x) = \frac{3x-2}{x-1}$, $f(x) = \frac{3x-1}{x-1}$, then $f'(x) = \frac{3x-1}{x-1}$, $f'(x) = \frac{3x-2}{x-1}$, $f'(x) = \frac{3x-2}{x-1}$, $f'(x) = \frac{3x-1}{x-1}$, $f'(x)...
number_theory__7ffac5
0
none
base
run
false
false
true
length
7,168
7,168
1. On the other hand, the answer is the question. The answer is the question. How many negative numbers are there in this problem? The following example shows that for every positive number 1. In this problem, the answer is the question. The answer is the answer, and the answer is the answer. The answer is the questi...
End of preview.

rollouts-olmo7b-ladder — evaluation rollouts

Model: Olmo-3-7B mid-training checkpoints (8,192 context). Tokenizer used for answer positions: allenai/Olmo-3-1025-7B. Protocol: 32 rollouts per problem (two seeded batches of 16), temperature 0.6, top-p 0.95, budget 7,168 generated tokens, seed 20260819. Prompts and grader: the paper's repository (sophicle/reason). Rollout jsonl files are kept as written (one graded rollout per line, with the completion), under the run directories as on disk (run/, run_regraded/, *_execgraded/); cell summaries are at <prompt>/<benchmark>/summary/<arm>.json.

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