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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: double
pass@8_ci95: list<item: double>
child 0, item: double
pass@8_sd_boot: double
pass@16: double
pass@16_ci95: list<item: double>
child 0, item: double
pass@16_sd_boot: double
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<aime2024_0: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list (... 8176 chars omitted)
child 0, aime2024_0: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list<item: int64>, answ (... 161 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: string>
child 0, item: string
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: s
...
child 0, k: int64
child 1, expected_tokens: double
child 2, pass_at_k: double
child 3, majority_at_k: double
child 27, 28: 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 28, 29: 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 29, 30: 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 30, 31: 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 31, 32: 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
completion: string
correct: bool
problem_key: string
hit_token_cap: bool
label: string
rollout_index: int64
finish_reason: string
steer: string
output_tokens: int64
committed: bool
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: double
pass@8_ci95: list<item: double>
child 0, item: double
pass@8_sd_boot: double
pass@16: double
pass@16_ci95: list<item: double>
child 0, item: double
pass@16_sd_boot: double
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<aime2024_0: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list (... 8176 chars omitted)
child 0, aime2024_0: struct<rollout_index: list<item: int64>, correct: list<item: int64>, tokens: list<item: int64>, answ (... 161 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: string>
child 0, item: string
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: s
...
child 0, k: int64
child 1, expected_tokens: double
child 2, pass_at_k: double
child 3, majority_at_k: double
child 27, 28: 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 28, 29: 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 29, 30: 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 30, 31: 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 31, 32: 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
completion: string
correct: bool
problem_key: string
hit_token_cap: bool
label: string
rollout_index: int64
finish_reason: string
steer: string
output_tokens: int64
committed: bool
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 datasetNeed help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
aime2024_0 | 0 | none | base | run | false | false | false | stop | 2 | 7,168 | |
aime2024_0 | 1 | none | base | run | true | false | false | stop | 359 | 7,168 | 1. First, we need to find the value of $t$.
2. We know that when Aya walks at $s$ kilometers per hour, the walk takes her 4 hours including $t$ minutes spent in the coffee shop. Therefore, the total time in hours is $4 + \frac{t}{60}$.
3. Similarly, when Aya walks at $s + 2$ kilometers per hour, the walk takes her 2 h... |
aime2024_0 | 2 | none | base | run | false | false | true | length | 7,168 | 7,168 | 1. Convert $t$ to hours: $t = \frac{t}{60}$.
2. Let $x$ be the number of minutes spent walking. Then the total time for the walk is $x + \frac{t}{60}$ hours.
3. For the first scenario, the time spent walking is $4 - \frac{t}{60}$ hours and the time spent in the coffee shop is $\frac{t}{60}$ hours.
4. For the second sc... |
aime2024_0 | 3 | none | base | run | false | false | false | stop | 287 | 7,168 | Let $m$ be the number of minutes the walk takes her when she walks at $s+\frac{1}{2}$ kilometers per hour. Since the walk takes her 2 hours and 24 minutes, the total time is 2.4 hours. Therefore, the time spent walking is $2.4-0.4=2$ hours, and the time spent in the coffee shop is $0.4$ hours. Using the formula $t=\fr... |
aime2024_0 | 4 | none | base | run | false | false | true | length | 7,168 | 7,168 | Let's first convert the given information into mathematical expressions.
1. When walking at $s$ km/hour, the walk takes 4 hours and $t$ minutes. This can be written as:
$$
4 \times 60 + t = 9s \quad \text{(in minutes)}
$$
2. When walking at $s+2$ km/hour, the walk takes 2 hours and 24 minutes, including $t$... |
aime2024_0 | 5 | none | base | run | false | false | false | stop | 374 | 7,168 | Let $s$ be the original speed and $t$ be the time spent in the coffee shop.
From the first scenario, we have $s=4.5$ km/h and $t=24$ minutes.
From the second scenario, we have $s+2=2.4$ km/h and $t=24$ minutes.
We are given that $s+\frac{1}{2}$ km/h and we need to find the time spent in the coffee shop.
Let $t'$ be th... |
aime2024_0 | 6 | none | base | run | false | false | true | length | 7,168 | 7,168 | Let $t$ be the number of minutes spent in the coffee shop.
From the first scenario, the total time for the walk and the time spent in the coffee shop is $4$ hours and $t$ minutes.
From the second scenario, the total time for the walk and the time spent in the coffee shop is $2$ hours and $24$ minutes.
Let $s$ be the... |
aime2024_0 | 7 | none | base | run | false | false | true | length | 7,168 | 7,168 | Let's break down the information given in the problem:
1. When walking at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, including $t$ minutes spent in the coffee shop.
2. When walking at a constant speed of $s+2$ kilometers per hour, the walk takes her 2 hours and 24 minutes, including $t$ ... |
aime2024_0 | 8 | none | base | run | false | false | true | length | 7,168 | 7,168 | Let $t$ be the number of minutes spent in the coffee shop.
From the first condition, we have $4 \text{ hours} = \frac{4}{60} \text{ days} = \frac{1}{15} \text{ days}$.
From the second condition, we have $2 \text{ hours} = \frac{2}{60} \text{ days} = \frac{1}{30} \text{ days}$.
From the first condition, we have $4 \tex... |
aime2024_0 | 9 | none | base | run | true | false | false | stop | 797 | 7,168 | Let $x$ be the number of minutes Aya spends in the coffee shop. We are given the following information:
1. When Aya walks at a speed of $s$ km/hour, the walk takes her 4 hours and $x$ minutes, which is equivalent to $4 \times 60 + x = 240 + x$ minutes.
2. When Aya walks at a speed of $s + 2$ km/hour, the walk takes h... |
aime2024_0 | 10 | none | base | run | true | false | false | stop | 366 | 7,168 | Let $x$ be the number of minutes spent in the coffee shop when walking at a constant speed of $s+1/2$ kilometers per hour. We are given that the walk takes her 2 hours and 24 minutes, which is equivalent to $2 \times 60 + 24 = 144$ minutes. Therefore, $t = 144 - x$.
Now, let's use the given information to set up two ... |
aime2024_0 | 11 | none | base | run | false | false | true | length | 7,168 | 7,168 | The problem gives us two scenarios for Aya's walk: one where she walks at a constant speed of $s$ kilometers per hour, taking 4 hours and $t$ minutes, and another where she walks at a constant speed of $s+2$ kilometers per hour, taking 2 hours and 24 minutes. We need to find the number of minutes the walk takes her wh... |
aime2024_0 | 12 | none | base | run | false | false | false | stop | 476 | 7,168 | 1. We know that Aya's walk takes 4 hours, including $t$ minutes spent in the coffee shop. This means her walk takes 240 minutes.
2. We also know that Aya's walk takes 2 hours and 24 minutes, including $t$ minutes spent in the coffee shop. This means her walk takes 144 minutes.
3. We need to find the value of $t$. Sinc... |
aime2024_0 | 13 | none | base | run | true | false | false | stop | 1,321 | 7,168 | First, we convert the given time to hours. When walking at a constant speed of $s$ kilometers per hour, the walk takes her 4 hours, including $t$ minutes spent in the coffee shop. This means the total walk time is 4 hours and $t$ minutes, which is equivalent to $4 + \frac{t}{60}$ hours. Similarly, when walking at a sp... |
aime2024_0 | 14 | none | base | run | true | false | false | stop | 147 | 7,168 | Let $x$ be the number of minutes the walk takes her when she walks at a constant speed of $s+\frac{1}{2}$ kilometers per hour. Then the walk takes her $x+t$ hours, including $t$ minutes spent in the coffee shop. Since $x+t$ hours is equal to $\frac{x+t}{60}$ hours, we have \begin{align*}
\frac{x+t}{60} &= 4+\frac{t}{6... |
aime2024_0 | 15 | none | base | run | true | false | false | stop | 480 | 7,168 | We are given that Aya walks $s$ kilometers per hour and that the walk takes her 4 hours, including $t$ minutes spent in the coffee shop. We are also given that when she walks $s+2$ kilometers per hour, the walk takes her 2 hours and 24 minutes, including $t$ minutes spent in the coffee shop. We want to find the number... |
aime2024_1 | 0 | none | base | run | false | false | true | length | 7,168 | 7,168 | 1. Let the coordinates of $A$, $B$, and $C$ be $A(0,0)$, $B(5,0)$, and $C(0,9)$, respectively. Then, the circumcircle $\omega$ can be found using the circumradius formula.
2. The coordinates of the circumcenter $O$ can be found by solving the perpendicular bisectors of the sides of triangle $ABC$.
3. The coordinates o... |
aime2024_1 | 1 | none | base | run | true | false | false | stop | 613 | 7,168 | 1. The problem gives us a triangle $ABC$ inscribed in a circle $\omega$. The tangents at $B$ and $C$ intersect at point $D$, and the line $AD$ intersects $\omega$ at $P$. We are given $AB = 5$, $BC = 9$, and $AC = 10$. We are to find $AP$ in the form $\frac{m}{n}$, where $m$ and $n$ are relatively prime integers, and ... |
aime2024_1 | 2 | none | base | run | true | false | false | stop | 882 | 7,168 | 1. **Understand the Given Information:**
- Triangle $ABC$ is inscribed in a circle $\omega$.
- The tangents to $\omega$ at $B$ and $C$ intersect at point $D$.
- Line $AD$ intersects $\omega$ again at point $P$.
- Sides of the triangle: $AB = 5$, $BC = 9$, $AC = 10$.
2. **Identify Key Geometric Properties:... |
aime2024_1 | 3 | none | base | run | false | false | true | length | 7,168 | 7,168 | 1. First, we draw the tangents to the circle $\omega$ at points $B$ and $C$, which intersect at point $D$. Then, the line $AD$ intersects the circle $\omega$ again at point $P$.
2. Using the properties of the tangents, we know that $DB = DC$. Since $\triangle ABC$ is inscribed in circle $\omega$, we can use the tange... |
aime2024_1 | 4 | none | base | run | true | false | false | stop | 628 | 7,168 | 1. Let $O$ be the center of $\omega$. Since $AB=5$, $BC=9$, and $AC=10$, we can use the Law of Cosines to find $\angle ABC$:
$AB^2 + AC^2 - 2 \cdot AB \cdot AC \cdot \cos(\angle ABC) = BC^2$
$25 + 100 - 90 \cdot \cos(\angle ABC) = 81$
$125 - 90 \cdot \cos(\angle ABC) = 81$
$45 = 90 \cdot \cos(\angle ABC)$
$\cos(\... |
End of preview.
rollouts-mt-control — evaluation rollouts
Model: reasoning-cues/olmo3-7b-mt-control. Tokenizer used for answer positions: reasoning-cues/olmo3-7b-mt-control.
Protocol: 32 rollouts per problem (two seeded batches of 16), temperature 0.6, top-p 0.95,
budget 31,744 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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