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The dataset generation failed
Error code: DatasetGenerationError
Exception: CastError
Message: Couldn't cast
stage1_id: string
question_id: string
split: string
task: string
gsm8k_test_overlap: bool
prompt: string
other_answers: list<item: struct<model: string, final_answer: string>>
child 0, item: struct<model: string, final_answer: string>
child 0, model: string
child 1, final_answer: string
replaced_response_ids: list<item: string>
child 0, item: string
failed_teachers: list<item: string>
child 0, item: string
luna_failure_reason: string
generator: string
generator_alias: string
cot: string
reasoning_content: null
finish_reason: string
prompt_tokens: int64
completion_tokens: int64
final_answer: string
attempts: int64
status: string
failure_reason: null
created_at: string
to
{'stage1_id': Value('string'), 'question_id': Value('string'), 'split': Value('string'), 'task': Value('string'), 'gsm8k_test_overlap': Value('bool'), 'prompt': Value('string'), 'other_answers': List({'model': Value('string'), 'final_answer': Value('string')}), 'replaced_response_ids': List(Value('string')), 'failed_teachers': List(Value('string')), 'generator': Value('string'), 'generator_alias': Value('string'), 'cot': Value('string'), 'reasoning_content': Value('string'), 'finish_reason': Value('string'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'final_answer': Value('string'), 'attempts': Value('int64'), 'status': Value('string'), 'failure_reason': Value('string'), 'created_at': 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
stage1_id: string
question_id: string
split: string
task: string
gsm8k_test_overlap: bool
prompt: string
other_answers: list<item: struct<model: string, final_answer: string>>
child 0, item: struct<model: string, final_answer: string>
child 0, model: string
child 1, final_answer: string
replaced_response_ids: list<item: string>
child 0, item: string
failed_teachers: list<item: string>
child 0, item: string
luna_failure_reason: string
generator: string
generator_alias: string
cot: string
reasoning_content: null
finish_reason: string
prompt_tokens: int64
completion_tokens: int64
final_answer: string
attempts: int64
status: string
failure_reason: null
created_at: string
to
{'stage1_id': Value('string'), 'question_id': Value('string'), 'split': Value('string'), 'task': Value('string'), 'gsm8k_test_overlap': Value('bool'), 'prompt': Value('string'), 'other_answers': List({'model': Value('string'), 'final_answer': Value('string')}), 'replaced_response_ids': List(Value('string')), 'failed_teachers': List(Value('string')), 'generator': Value('string'), 'generator_alias': Value('string'), 'cot': Value('string'), 'reasoning_content': Value('string'), 'finish_reason': Value('string'), 'prompt_tokens': Value('int64'), 'completion_tokens': Value('int64'), 'final_answer': Value('string'), 'attempts': Value('int64'), 'status': Value('string'), 'failure_reason': Value('string'), 'created_at': 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.
stage1_id string | question_id string | split string | task string | gsm8k_test_overlap bool | prompt string | other_answers list | replaced_response_ids list | failed_teachers list | generator string | generator_alias string | cot string | reasoning_content string | finish_reason string | prompt_tokens int64 | completion_tokens int64 | final_answer string | attempts int64 | status string | failure_reason string | created_at string |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
hf:0008525e9273f3f878f8b121c5d73d169118db36f742ca16691cf8456f70dbf9 | 9bb315e4331d430fc50015d02046fd2ca5b7adf3eacf5fb45317b71de5626161 | train | mmlu | false | For which of these two scenarios does the main character (who uses I/me/my) do something clearly morally wrong, according to ordinary moral standards in the US as of 2020? Scenario 1 | I showed up to a beach party with board shorts on. Scenario 2 | I set up a feast for the homeless in front of the rich.
Choices (order... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D. Not wrong, Not wrong."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D. Not wrong, Not wrong."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final... | [
"5e991ea7619b2b12881162087199067a6d6c8db4056066611e244224e20c632f"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | Showing up to a beach party in board shorts is not clearly morally wrong. Setting up a feast for homeless people in front of the rich is also not clearly morally wrong; it may be charitable, even if intended as a pointed display.
Final answer: D | null | stop | 554 | 56 | D | 1 | ok | null | 2026-09-27T01:07:05.345749+00:00 |
hf:0011963906406cd457a769a79c1f3a5b31d1ff67ce4a34b4b85e6fbe21bf1e40 | a23110e7b7b65e1835a39635d5f74ff077ea928b24e05b26ff3f35bfad57ce3b | train | mmlu | false | As of 2017, what fraction of the population in Brazil used the internet in the past three months?
Choices (ordered label, text pairs):
[["A","18%"],["B","38%"],["C","58%"],["D","78%"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C."
},
{
"model": "claude... | [
"421321ea8af5384e03994a377dcdac1d61ef18a2774ebd34c6e64093552278e0"
] | [
"google/gemma-2-9b-it"
] | rerun-yibingwei/gpt-6-luna | luna | The question refers to the share of Brazil’s population that used the internet in the previous three months in 2017. That figure was about 67%, so the closest listed choice is 78%.
Final answer: D | null | stop | 497 | 48 | D | 1 | ok | null | 2026-09-27T01:07:06.283092+00:00 |
hf:0001a3154f7b2585c14c6916b3ecdeb0c43a9acb1fda66a828ac03d69282269e | 988382c667897cb2be434d21616d46b70d8a80d9e3967b2df1f5c514afa88671 | train | winogrande__round_2_fixes | false | The sponges performed worse at cleaning the tub in the bathroom when compared with the cloths. It's because the _ are cheaper.
Choices (ordered label, text pairs):
[["A","sponges"],["B","cloths"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A"
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "A"
},
{
"model": "claude-3-haiku-20240307",
"final_answer": "A"
},
{
"model": "google... | [
"ded27f4a1fe390cb20b75425f9508cb45acebb4c8e2a514356c1b59ccb015f1a"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | The sentence says sponges cleaned worse than cloths. The reason should refer to the cloths as cheaper, so the blank is “cloths.”
Final answer: B | null | stop | 489 | 38 | B | 1 | ok | null | 2026-09-27T01:07:07.291392+00:00 |
hf:001554d736633fe4836671358af855d6643566d135755cd2ac50dc205debcaf4 | 7862c1d504d2077778b52a1b368dcc7203f86f253b9581f79de618635eb0810f | train | stratqa | false | Is there a parody song about tabloid journalism?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( A ) True"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A) True"
},
{
"mode... | [
"7ff8264d5b54e0fe36e02f29bc1dac2a924712221b581b53dd577dcbb0c0d9c5"
] | [
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | Yes. Parody songs about tabloid journalism exist, so the statement is true.
Final answer: A | null | stop | 471 | 25 | A | 1 | ok | null | 2026-09-27T01:07:07.973648+00:00 |
hf:0011c2f990fc11df05a5b15144c0143425f50281a2ba2764c2f90d16966dc54a | bae8e0163480aee13080e674d2453aff8f0d4eb76cfb0c5b94711dc4f56c2a4c | train | mmlu_pro | false | Discuss three indicators of emotion.
Choices (ordered label, text pairs):
[["A","Mood swings, depression, anxiety"],["B","Social media usage, internet browsing habits, television viewing preferences"],["C","Intelligence, memory, reaction time"],["D","Speech patterns, tone of voice, cadence"],["E","Happiness, sadness, ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "G."
},
{
"model": "clau... | [
"af80f88e68f86691e34e2d645e6639217a0535b11595204f3e702915d0387135"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | Emotion can be identified through what people report feeling, behaviors others observe, and physiological responses such as changes in heart rate. Choice G lists these three broad indicators.
Final answer: G | null | stop | 577 | 40 | G | 1 | ok | null | 2026-09-27T01:07:09.061135+00:00 |
hf:0021d3c8a4839a3735f0db0ac2850535a0f008b4d1abdccf606f35dbd670eab0 | 32f85d7cc7260e7291b5ad88824daa478f5fa0701e54ec9e44b1022b8456a2ed | train | piqa | false | To add a cinnamon swirl into your loaf of bread
Choices (ordered label, text pairs):
[["A","After the first proving, before it goes into the loaf pan, roll the dough out into a flat rectangle. Using a butter knife, spread very soft butter across the top two thirds of the rectangle, leaving about a third unbuttered at ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A"
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "A"
},
{
"model": "claude-3-haiku-20240307",
"final_answer": "A"
},
{
"model": "google... | [
"494f73f70acc07891891ba7e8e61306bc27207d686c4f9cdcdf851a442adde9d"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | 1. The instructions call for spreading soft butter over the dough.
2. A butter knife is the appropriate tool for spreading butter; a fork is not.
Final answer: A | **Choosing a butter knife** | stop | 753 | 69 | A | 1 | ok | null | 2026-09-27T01:07:11.398615+00:00 |
hf:001e5dd793b387628175a05801da074e2d8fbc9bb6cfc4000b4bccd2f748b5c2 | b8a49e0e013008877cf571125c5296c501957b798b34d761c4ca1e6f209524c9 | train | mmlu_pro | false | One pound of a gas in a piston cylinder arrangement undergoes compression from 500psiato 50psia. The initial volume of the gas is 3 cu. ft per lb. The variation of p and v is such that pv^1.4 is a constant. Calculate the change in internal energy if the work performed is equal to the amount of heat transferred to the s... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "I."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "I."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[I]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "I."
},
{
"model": "clau... | [
"53e65869b254b719ea048a9e2c7eecc1e42be848ad08c996db53925da9293b38",
"6baed68aaf7c5eb3c6f46f72deb9379cc7ad4c6d61261644089426f28db6ebc5"
] | [
"google/gemma-2-9b-it",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | For a closed system, the first law gives \(\Delta U=Q-W_{\text{by}}\). Since the work performed equals the heat transferred to the surroundings, \(W_{\text{by}}=-Q\) (heat leaves while work is done on the gas). Thus the work and heat terms cancel, giving \(\Delta U=0\). The polytropic relation is not needed for this en... | null | stop | 642 | 94 | I | 2 | ok | null | 2026-09-27T01:07:17.998445+00:00 |
hf:002f5f3099aaedc7c045a097c4df328acc217826782f1daef00a44c59f9041f8 | 67b7a2465cfbff672480a0266b0d7d49826d3753143d2e97423586febef722bd | train | IAAR-Shanghai/VAR | false | i. By adjusting the launching angle for a ball thrown with a fixed initial speed $v_{0}$ from the origin, targets can be hit within the region given by
$$
z \leq z_{0}-k x^{2}
$$
You can use this fact without proving it. Find the constants $z_{0}$ and $k$. | [
{
"model": "google/gemma-2-2b-it",
"final_answer": "You need to use the information about the maximum height and the symmetry of the projectile's trajectory to determine the constants $z_0$ and $k$."
}
] | [
"de0f8a10e656539be6692d1e6f87fa9108b7104492b5be3a1937e8ae409288c0"
] | [
"google/gemma-2-9b-it"
] | rerun-jiang/gpt-6-luna | luna | For a launch angle \(\theta\), the projectile’s height at horizontal distance \(x\) is
\[
z=x\tan\theta-\frac{gx^2}{2v_0^2\cos^2\theta}.
\]
Writing \(u=\tan\theta\), this becomes
\[
z=xu-\frac{gx^2}{2v_0^2}(1+u^2).
\]
The greatest reachable height at fixed \(x\) occurs when differentiating with respect to \(u\) gives \... | **Deriving the trajectory envelope** | stop | 515 | 462 | \(z_0=\frac{v_0^2}{g},\quad k=\frac{g}{2v_0^2}\) | 1 | ok | null | 2026-09-27T01:07:21.739490+00:00 |
hf:009b6aa910860809723d08e5af956b2c40debaa60774c067c7f59255baea3e79 | c7624ddc109cd59b6e7bbfe60c3854700ff66a41e5aa9c47a606df2514c8ecb5 | train | IAAR-Shanghai/VAR | false | Find $g(x)$, with terms in order of decreasing degree, if we have that \[8x^4-7x^2+8x-7+g(x)=x + 1.\] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "-8x^4 + 7x^2 - 7x + 8"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "-8x^4 + 7x^2 - 7x + 8"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "-8x^4 + 7x^2 - 7x + 8"
},
{
"model": "Qwen/Qwen2-7B-Instruct... | [
"f4f25b41adf669dc26acf6f84f3b700ca6652c726dc46c4e8e89d7a6d853d8d6"
] | [
"THUDM/chatglm3-6b"
] | rerun-jiang/gpt-6-luna | luna | Subtract \(8x^4-7x^2+8x-7\) from both sides:
\[
g(x)=x+1-(8x^4-7x^2+8x-7).
\]
Distribute the minus sign and combine like terms:
\[
g(x)=-8x^4+7x^2-7x+8.
\]
Final answer: \(-8x^4+7x^2-7x+8\) | **Subtracting the polynomials** | stop | 485 | 182 | \(-8x^4+7x^2-7x+8\) | 1 | ok | null | 2026-09-27T01:07:26.462124+00:00 |
hf:0021a9508b73b7e09d536c45d80e969644e5831e4a2df210498f258c609b3d00 | 5c64d309e00fb75dc616fbb3539bc706ae64644cc233d736b1d2be0dafb9d562 | train | math | false | Let $F(z)=\frac{z+i}{z-i}$ for all complex numbers $z\not= i,$ and let $z_n=F(z_{n-1})$ for all positive integers $n.$ Given that $z_0=\frac 1{137}+i,$ find $z_{2002}.$ | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "\\frac{1}{137} + i"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "$\\boxed{z_2}$. I hope it is correct. However, without the exact calculation of $z_2$, we cannot provide a numerical answer. The key insight is recognizing the per... | [
"95a6f0599c16f92ed9339c40a1419314b63e4d618aaba654f1c9ddbbf8ca7ff1",
"45ce662d4e07d71dee53160b06abd215ec7a7a5992e65821c2ab08c0f2c82a89",
"9763ed293382f80e9ad6522f5777cc8f9d2e5c6d7494e12e9398fc8b3780a571",
"65f9cdad77c469cc3161d36f38e29973e1defc9970f72c78c2386158377fb34b"
] | [
"google/gemini-1.5-flash-001",
"google/gemma-2-9b-it",
"google/gemma-2-9b-it",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | Represent \(F\) by the matrix
\[
A=\begin{pmatrix}1&i\\1&-i\end{pmatrix},
\]
whose trace is \(t=1-i\) and determinant is \(-2i=t^2\). By the Cayley–Hamilton theorem,
\[
A^2-tA+t^2I=0,
\]
so \(A^3=-t^3I\). A nonzero scalar multiple of a matrix represents the same Möbius transformation; hence \(F^3\) is the identity.
Si... | **Computing Möbius iterates****Verifying the third iterate** | stop | 511 | 775 | \(1+274i\) | 1 | ok | null | 2026-09-27T01:07:26.831793+00:00 |
hf:0061344bddf08ee2780e66b3c76867f7d08f58adb74bb3e5b17934c58acccc2c | ce6880d4ef56442910f30f72cfff0706c6a3b386c93f9bcb476dadd550739251 | train | math | false | Compute the area of the region that lies above the graph of $y = |x - 1| + |x - 3|$ but below the graph of $y = 8.$ | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "92"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "21"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "18"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "20"
},
{
"model": "claude... | [
"2d9b1f9d4057e3630c1a181886553244559d2f007b5efdcd9fc789d0d3ee109f"
] | [
"google/gemma-2-9b-it"
] | rerun-yibingwei/gpt-6-luna | luna | The graph is piecewise:
\[
y=|x-1|+|x-3|=
\begin{cases}
4-2x,&x\le 1,\\
2,&1\le x\le 3,\\
2x-4,&x\ge 3.
\end{cases}
\]
It meets \(y=8\) at \(x=-2\) and \(x=6\). The area between the graphs is two triangles and a rectangle:
\[
\frac12(3)(6)+(2)(6)+\frac12(3)(6)=30.
\]
Final answer: 30 | **Computing the bounded area** | stop | 482 | 265 | 30 | 1 | ok | null | 2026-09-27T01:07:30.104455+00:00 |
hf:009c8d2f3544df14a8e20e410808abd68cc8dc7ad91749e31d214388121b750f | a36c044f7f4442776e3f8b9dbfbdb411c3d32f2267e9c2f6cd3c8f572c8be61c | train | math | false | Bill walks $\frac{1}{2}$ mile south, then $\frac{3}{4}$ mile east, and finally $\frac{1}{2}$ mile south. How many miles is he, in a direct line, from his starting point? Express your answer as a decimal to the nearest hundredth. | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "1.25"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "1.25"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "1.25"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "1.25"
},
{
"model":... | [
"34e14027cd9976c51446fa6e1a711b5b1833036423dc33a0f27b6959edacd0a2"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | 1. Bill walks a total of \(\frac12+\frac12=1\) mile south and \(\frac34\) mile east.
2. These directions are perpendicular, so his direct distance is
\[
\sqrt{1^2+\left(\frac34\right)^2}
=\sqrt{1.5625}
=1.25\text{ miles}.
\]
Final answer: 1.25 | **Calculating net distance** | stop | 505 | 136 | 1.25 | 1 | ok | null | 2026-09-27T01:07:30.412472+00:00 |
hf:00bb475b50785ba0eaa0d6a9791e08a44946ed8fbe1ccd8e821715b4dd32452d | 9a1dbfc0e64550f55af84567f3416fb0d662ca334454b9053ebc843dea13dd25 | train | IAAR-Shanghai/VAR | false | 她极其同情高广厚。这个厚道人整天埋头为学校的事操劳，还得要做家务，听丽英的奚落和咒骂。老高对她是很关心的，经常把劈好的柴摞在她门前，帮助她买粮，磨面，担水……这一切都使她在心里很受感动。在这段话中，index = 84 处的“她”是否表示 index = 34 处的“丽英”？请回答：Yse / No。 | [
{
"model": "deepseek-ai/DeepSeek-R1-Distill-Qwen-14B",
"final_answer": "Yes."
},
{
"model": "google/gemma-2-2b-it",
"final_answer": "No."
}
] | [
"bb2fb3739d208b19940971800bb25884045b9230d97d9bccb74fa17c0ddcae2b"
] | [
"deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
] | rerun-jiang/gpt-6-luna | luna | “她”同情高广厚，而高广厚还要听“丽英的奚落和咒骂”，说明丽英是奚落他的人，前后指代的不是同一人。因此，index = 84 的“她”不表示 index = 34 处的“丽英”。
Final answer: No | **我正在核对“她”的指代对象** | stop | 567 | 315 | No | 1 | ok | null | 2026-09-27T01:07:34.323280+00:00 |
hf:0011991c59ad2b2e1fa9df6c3b429c026aa945d5e30ba54af18afa878e046256 | 095dee24c279ae94c7c451614ed101856c47e539a9ebd5b61de2f2e8a3e222c9 | train | mmlu_pro | false | Imagine gaseous $\mathrm{Ar}$ at $298 \mathrm{~K}$ confined to move in a two-dimensional plane of area $1.00 \mathrm{~cm}^2$. What is the value of the translational partition function?
Choices (ordered label, text pairs):
[["A","7.5 x $10^{16}$"],["B","1.2 x $10^{18}$"],["C"," 3.9 $10^{17}$"],["D","5.3 $10^{17}$"],["E... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[G]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[F]."
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "C."
},
{
"model": ... | [
"7a1f148f6e0f618ea964b11087c9cb1d92c32488f332885ae11444a7a102f16f"
] | [
"google/gemma-2-9b-it"
] | rerun-jiang/gpt-6-luna | luna | For one Ar atom confined to a two-dimensional area, the translational partition function is
\[
q_{\mathrm{trans}}=A\frac{2\pi m kT}{h^2}.
\]
Using \(A=1.00\times10^{-4}\,\mathrm{m^2}\), \(m=39.948\,u=6.63\times10^{-26}\,\mathrm{kg}\), \(T=298\,\mathrm K\), \(k=1.381\times10^{-23}\,\mathrm{J\,K^{-1}}\), and \(h=6.626\... | **Calculating 2D partition function** | stop | 629 | 349 | C | 1 | ok | null | 2026-09-27T01:07:38.079723+00:00 |
hf:00086e5493672444e2099e1bc3d8390eee1d5bdfac70f719b3292d5542881c6b | 3c028bf352298b14bb3975d2f0f6bb182d760183cc6a116d68a411b0d98562b9 | train | musique_all | false | When did the luxury division of the manufacturer change the body style of RX 350? | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "The luxury division of the manufacturer changed the body style of the RX 350 in late 2010, with the facelift being unveiled at the March 2012 Geneva Motor Show."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "2012"
},
{
"mo... | [
"f8e10be5b902851a7f6dc02c45965139c671aa4b9a647a5169a794f00efb199e"
] | [
"Qwen/Qwen2-72B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | Lexus, Toyota’s luxury division, redesigned the RX 350’s body style for the 2016 model year.
Final answer: 2016 model year | **Checking RX 350 redesign** | stop | 458 | 334 | 2016 model year | 1 | ok | null | 2026-09-27T01:07:39.861851+00:00 |
hf:004d899f66cc7898ee0a2f65923d1f253c23d8a10e03a61c828c01aeb4f6a5c0 | 4a07241016a4cebf7fdb066ac1619399bb25a23d493a2f35f792b1a843c628ac | train | CohereLabs/fusion-synth-data-s1kx | false | A2 Trouvez la densité du nombre d'électrons $ n_ {e} $ à l'équilibre lorsque les deux ioniseurs externes sont activés simultanément. | [
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "\\[ n_e = \\sqrt{\\frac{G_1 + G_2}{\\beta}} \\]"
},
{
"model": "CohereFusion/kimik2",
"final_answer": "n_e = \\sqrt{\\dfrac{S_1 + S_2}{\\alpha}}"
}
] | [
"e8c8219af399cd542d8bf2df8f078726dc9cb00ab3d152ecd10c36e6b23ef8ba"
] | [
"CohereFusion/command-a"
] | rerun-jiang/gpt-6-luna | luna | À l’équilibre, le taux total de production d’électrons égale le taux de recombinaison. Si les ioniseurs produisent chacun à des taux \(S_1\) et \(S_2\), et si la recombinaison a un coefficient \(\alpha\), alors
\[
S_1+S_2=\alpha n_e^2,
\qquad
n_e=\sqrt{\frac{S_1+S_2}{\alpha}}.
\]
Final answer: \(\displaystyle n_e=\sqrt... | **Je vérifie les paramètres manquants** | stop | 479 | 370 | \(\displaystyle n_e=\sqrt{\frac{S_1+S_2}{\alpha}}\) | 1 | ok | null | 2026-09-27T01:07:40.096787+00:00 |
hf:005a8ffe992240f0537f1a065e9effd78eb22d7045d9025f25c39193a642086d | e906b1ac9ce1150e5376aeb06bd5a76fb3e0bf48a0e047851875e1325a059d71 | train | CohereLabs/fusion-synth-data-s1kx | false | Angesichts der restlichen Reaktionskomponenten: | [
{
"model": "CohereFusion/command-a",
"final_answer": "Es ist nicht möglich, eine Antwort zu geben, da die Frage unvollständig ist."
},
{
"model": "CohereFusion/command-a",
"final_answer": "**Antwort:** Unbeantwortbar aufgrund unvollständiger Frage."
},
{
"model": "CohereFusion/deepseek-v... | [
"355ced0d20b898bd4c2b835dea62451b740b3aadf6c0d684bb15b3505f3ba847"
] | [
"CohereFusion/command-a"
] | rerun-yibingwei/gpt-6-luna | luna | Die Reaktionskomponenten und die eigentliche Frage fehlen; daher lässt sich die Reaktion nicht bestimmen.
Final answer: Nicht bestimmbar. | **Checking missing components** | stop | 452 | 150 | Nicht bestimmbar. | 1 | ok | null | 2026-09-27T01:07:43.221910+00:00 |
hf:00b7e1641eb67766e6900eb3123f58d41fd26bc69d638b18eafcfd856fba1d89 | 6976f7f7e7c0ac11d97555050577ca8c09e6948787b40e810c6c0b15505a698b | train | CohereLabs/fusion-synth-data-geofactx | false | Ni kanuni gani ya sarufi inayoamua uundaji wa vitenzi vya kusababisha katika Kiswahili? | [
{
"model": "CohereFusion/command-a",
"final_answer": "Kanuni ya kusababisha."
},
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "kanuni ya kuongeza kiambishi cha kusababisha"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "Tamati -sha/-za"
},
{
"model": "Coh... | [
"fc72f4ffeaa3fe10eb68b6200e53a0879fa051f4b4f4347f188c94f747e36d43"
] | [
"CohereFusion/kimik2"
] | rerun-jiang/gpt-6-luna | luna | 1. Vitenzi vya kusababisha huonyesha kuwa mtenda anasababisha mtu au kitu kingine kufanya kitendo au kubadilika.
2. Katika Kiswahili, kwa kawaida huundwa kwa kuongeza kiambishi tamati cha usababishi kwenye mzizi wa kitenzi. Viambishi vya kawaida ni **-isha/-esha** na **-za/-sha**, kutegemea muundo na historia ya mzizi.... | null | stop | 466 | 180 | Vitenzi vya kusababisha huundwa kwa kuongeza kiambishi tamati cha usababishi—kwa kawaida **-isha/-esha** au **-za/-sha**—kwenye mzizi wa kitenzi. | 1 | ok | null | 2026-09-27T01:07:45.363783+00:00 |
hf:0072da1aff51715cf4b6153ee52a42308d3cdebedc55f264bca9ee727f95d4fb | c1a838f7bdf735924b61d46b63a18db0a9474e6aa18e6e4481a1b2e20413b626 | train | CohereLabs/fusion-synth-data-s1kx | false | Für eine Sequenz $ x_1, x_2, \ ldots, x_n $ von realen Zahlen definieren wir seinen $ \ textit {price} $ als \ [\ max_ {1 \ le i \ le n} | x_1 +\ cdots +x_i | Fleißiger Dave prüft alle möglichen Arten und findet den minimalen möglichen Preis $ D $. Greedy George hingegen wählt $ x_1 $ so, dass $ | x_1 | $ so klein wie ... | [
{
"model": "CohereFusion/qwen3",
"final_answer": "G ≥ D"
}
] | [
"9ff7b4820f66fe7b043a1a6b8d0e5c7389b3628b81b6e5b26692c34c64f718a1"
] | [
"CohereFusion/command-a"
] | rerun-jiang/gpt-6-luna | luna | Die Aufgabenstellung definiert \(D\) und \(G\), enthält aber keine Frage dazu. Daher ist keine eindeutige Lösung bestimmbar.
Final answer: Die konkrete Frage fehlt. | **Inferring the missing question****Checking the greedy bound** | stop | 665 | 840 | Die konkrete Frage fehlt. | 1 | ok | null | 2026-09-27T01:08:05.825403+00:00 |
hf:009cea018fb65f58cb9d456e12b2d304acfe81dda62441d9ee2f4a23200a9ff0 | 2e20b5b4de8b0a97a37cfca3457d747caa9e53f4a8778ad5bd3c5bc8dcfd04a5 | train | CohereLabs/fusion-synth-data-s1kx | false | $ X $ మరియు $ y $ మెట్రిక్ ఖాళీలు మరియు $ f: x \ లాంగ్రైట్రో y $ నిరంతర ఫంక్షన్ అని అనుకుందాం. $ F_1: x \ సార్లు \ MATHBB R \ లాంగ్ రైట్ y \ times \ mathbb r $ సమీకరణంతో $ f_1 (x, t) = (f (x), t) all అన్ని $ X for X $ మరియు $ T \ for \ mathbb r in లో $ t \ ఒక క్లోజ్డ్ ఫంక్షన్. ప్రతి కాంపాక్ట్ సెట్ $ k \ సబ్సెట్క్ y ... | [
{
"model": "CohereFusion/command-a",
"final_answer": "f^{-1}(K) \\text{ is compact in } X"
},
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "$f^{-1}(K)$ కాంపాక్ట్."
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "$f^{-1}(K)$"
}
] | [
"b372406e2e1758104cf598bf04cd4c008b02582f3f4088755c92fac94f5040cb"
] | [
"CohereFusion/qwen3"
] | rerun-yibingwei/gpt-6-luna | luna | నిరూపణ:
1. \(f^{-1}(K)\) మూసిన సమితి. నిజానికి, \(K\) కాంపాక్ట్ కాబట్టి \(Y\)లో మూసినది; \(f\) నిరంతరత్వం వల్ల దాని ప్రీ-ఇమేజ్ మూసినది.
2. \(f^{-1}(K)\) కాంపాక్ట్ కాదని అనుకుందాం. ఇది మెట్రిక్ స్థలం కాబట్టి, \(f^{-1}(K)\)లో అభిసరణ ఉపశ్రేణి లేని ఒక శ్రేణి \((x_n)\) ఉంటుంది. \(f(x_n)\in K\), మరియు \(K\) కాంపాక్ట్ కావడం... | **Checking closedness of f****సంక్షిప్త మెట్రిక్ సమానత్వాన్ని రూపొందిస్తున్నాను** | stop | 622 | 1,001 | \(f^{-1}(K)\) \(X\)లో కాంపాక్ట్. | 1 | ok | null | 2026-09-27T01:08:06.017205+00:00 |
hf:004be67fbd263e04d35d619e9263b5e18a9312424979f1293194eabc0081877f | 2de1aa0815fffa091a95d90d46f55ebae49e92c057eec19dffa3e46bdca6d280 | train | mmlu | false | What is another way of writing-'six feet'?
Choices (ordered label, text pairs):
[["A","6'"],["B","6"],["C","6''"],["D","6#"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B."
},
{
"model": "claude... | [
"6c5a648c2cd61ef4ec0955524307c95b9d8ac1f1416431c45b45ef46832c91ff"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | A single prime mark (′) is commonly used to abbreviate feet. Therefore, six feet is written as 6′.
Final answer: A | null | stop | 485 | 34 | A | 1 | ok | null | 2026-09-27T01:27:44.390653+00:00 |
hf:005a8e37ff23ac4f16ef7d6ec3a80787cf85ccb2ae5247911b9cad5b278ad4e1 | 5006281835ac631fcfc92572e76490ce78b053fdc139f944cffc7b2d23ed9ab1 | train | mmlu | false | This question refers to the following information.
As a Jew, I have never believed in collective guilt. Only the guilty were guilty.
Children of killers are not killers but children. I have neither the desire nor the authority to judge today's generation for the unspeakable crimes committed by the generation of Hitler.... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[A]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "clau... | [
"20fce36176b92aec40585a4ba45a6fdc652aa7f4270c81e8f87c159a4b39afbc"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | Wiesel says that remembering the past helps a community come to terms with its history and prevents it from continuing to traumatize the living. This supports the idea that remembering was necessary for Germans to reconcile themselves with their history. He does not say it would guarantee the Holocaust never happened a... | null | stop | 718 | 71 | A | 1 | ok | null | 2026-09-27T01:27:45.557407+00:00 |
hf:00724bfd684a493ea8f2432dd3d97e0076fc47a53be04afe2405f4113cfd98c6 | 7a0437b0ab1291fb427773f2c1c0b8ffe717967af2e30c4546333aa3777159f7 | train | mmlu | false | A number $x$ factors as $107\cdot109^5$, and $107$ and $109$ are primes. What is the exponent of $109$ in the prime factorization of $x^{11}$?
Choices (ordered label, text pairs):
[["A","9"],["B","55"],["C","21"],["D","11"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B."
},
{
"model": "claude... | [
"a1a1661d464062466ef7f94d3190876e4fadb99820b21aac305bda44766ba199"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-jiang/gpt-6-luna | luna | In \(x=107\cdot109^5\), the exponent of \(109\) is \(5\). Raising \(x\) to the 11th power multiplies each prime’s exponent by \(11\), so \(5\cdot11=55\). This corresponds to choice B.
Final answer: B | null | stop | 518 | 72 | B | 1 | ok | null | 2026-09-27T01:27:45.643918+00:00 |
hf:0103f2e15eb275952c6b0f9d58c81687b07a2a1281f9d68a79f5b6216f18fd99 | 81c2f93d6f5ee1d232cbca6d77f070d47d0ccd340a73ee18c1d472110edf0f7c | train | gsm8k | true | In the first half of a soccer match, team A scores 4 goals while team B scores 2 goals fewer than team A. In the second half, team A scores 1/4 of the number of goals scored by team B, which scores 4 times the number of goals it scored in the first half. What's the total number of goals scored in the match? | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "16"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "16"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "16"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "16"
},
{
"model": "claude... | [
"211faa4578342ca2daed936f8801fecbb4091d77a3317a3eda513d8c03086083",
"434422657d4183ad0a991274a95c6b2d5ec4bacc8605d61cd37ab6431d8673ef"
] | [
"meta-llama/Llama-2-7b-chat-hf",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | In the first half, team A scores 4 goals, so team B scores \(4-2=2\).
In the second half, team B scores \(4\times2=8\) goals. Team A scores \(\frac14\times8=2\) goals.
Total goals: \(4+2+8+2=16\).
Final answer: 16 | null | stop | 517 | 83 | 16 | 1 | ok | null | 2026-09-27T01:27:45.713904+00:00 |
hf:01094f3628cdac3c397510dde65619d0980752d429ac8a446cd1289284b46156 | fb4207d425c9a8604116a5dd0fd56cdf655db9fa807b1faf854a25b979b47b99 | train | mmlu | false | Suppose that Alice and Bob sent confidential text messages to one another last month through an encrypted messaging system. Alice and Bob are worried that an adversary might compromise one of their computers today, while they are taking the 6.858 final exam, and would then be able to decrypt those messages. Which of th... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C. Forward secrecy ensures that if a key is compromised in the future, past communications remain secure. ... | [
"290101dda8d9440fff145d3d788f3d22a479ce3f1ef39f5bbc07ab1cfe8f01ed"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-jiang/gpt-6-luna | luna | Forward secrecy ensures that compromising a device’s current keys does not reveal messages encrypted in the past. Authentication verifies identities, deniability concerns proof of who sent a message, and backward secrecy protects future messages after a key compromise.
Final answer: C | null | stop | 552 | 53 | C | 1 | ok | null | 2026-09-27T01:27:45.763214+00:00 |
hf:00dd9457038c395d85a9561a9e512dae9632f2f0d56c56abd96e948572a05b24 | 5848dc7118445a494c472ec9e88c5c695c4ddd238d177e83e5314ab6033a9f58 | train | mmlu | false | The position that abortion is murder is held by certain people in which religion?
Choices (ordered label, text pairs):
[["A","Orthodox Jews"],["B","Fundamentalist Protestants"],["C","Eastern Orthodox Christians"],["D","all of the above"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D. all of the above."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B."
},
{
... | [
"8e2129f4c1bc1981f84e2dad9dd723f97eececc85310cd35652abd99dac0de4e"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-jiang/gpt-6-luna | luna | The belief that abortion is equivalent to murder is held by some people in each of these religious communities. Since the question asks which religion it is held in, the best choice is **all of the above**.
Final answer: D | null | stop | 497 | 50 | D | 1 | ok | null | 2026-09-27T01:27:46.121693+00:00 |
hf:00bd72d76301d79d0b3f4f3800534b0107a388d6974d84a893116e2d048b6e9c | 62276deefdbd1019c77b8a37e1bff594f1b0cc5cf949e3f477f502bf24f5b5c9 | train | mmlu_pro | false | A law school advertised in various law journals for a legal ethics and jurisprudence professor. Although a number of lawyers applied for the position, one of the applicants submitted a particularly impressive resume. The dean of faculty for the law school immediately wrote to the applicant to offer him the position. In... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C. parol evidence is admissible to show the dean's personal guarantee of additional sick days."
},
{
... | [
"a18bcd798a7cee55b32e2305a0a90ab8e4e36743ae39a833ed9d8581fdbaf6b2"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | 1. The signed contract expressly provides for five paid sick days and appears to contain the employment terms.
2. The dean’s earlier oral promise would add to or vary that written sick-leave provision.
3. Because the promise was made before the contract was signed, the parol evidence rule generally bars using it to con... | null | stop | 1,230 | 209 | I | 1 | ok | null | 2026-09-27T01:27:47.581239+00:00 |
hf:003e7dd9f0d3b6b66a8f5efbb7ee2079100c45c68bc28c49e3893c808961dfc4 | bd44442cb7bb84b076f30d103f660e1a8a465cd791232182a9c8cb9510676f49 | train | mmlu_pro | false | Across what potential difference in V does an electron have to be accelerated to reach the speed v = 1.8 x 10^7 m/s? Calculate this relativistically.
Choices (ordered label, text pairs):
[["A","750.0"],["B","924.0"],["C","1300.0"],["D","800.0"],["E","870.0"],["F","1050.0"],["G","1100.0"],["H","980.0"],["I","1200.0"],[... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[B]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[B]."
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "B."
},
{
"model": ... | [
"84b952b3894a026f0d5e150e50bcb08fd5cb96b7376918f06024dbccf265b507",
"285c8b71b4164c53209d5535f68aa7bb449852bd22b12d9577a2901caa4db59b",
"e9ddb6da772ef3ad9e190a615c7c266bb684cbdbfca36d2058054d31f9da8376",
"f39332bbad7982310fbc618ddd3fa3de5770897fe2ad8713621ab5d4a0167c8c"
] | [
"Qwen/Qwen2-72B-Instruct",
"google/gemma-2-9b-it",
"google/gemma-2-9b-it",
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | The electron’s kinetic energy is supplied by the electric potential difference:
\[
e\Delta V=(\gamma-1)m_ec^2,\qquad
\gamma=\frac{1}{\sqrt{1-v^2/c^2}}.
\]
With \(v=1.8\times10^7\ \text{m/s}\), \(v/c\approx0.0600\), so \(\gamma\approx1.001806\). Using \(m_ec^2/e\approx510{,}999\ \text{V}\),
\[
\Delta V=(\gamma-1)\frac{m... | null | stop | 562 | 214 | B | 1 | ok | null | 2026-09-27T01:27:47.748537+00:00 |
hf:01041f3475f99be98f017961a55fbd26ac3535768175f412661fa714cfb00aad | 310c868bc03f8d32c6fce7a825e45b71497a7f8f397a94c6100053e38140fb1b | train | mmlu_pro | false | An x-ray tube with a copper target is found to be emitting lines other than those due to copper. TheK_\alphaline of copper is known to have a wavelength of 1.5405 \AA, and the other two K_\alphalines observed have wavelengths of 0.7092 \AA and 1.6578 \AA. Identify the impurities.
Choices (ordered label, text pairs):
[... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "E."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D."
},
{
"model": "clau... | [
"74ab00ede7e86f8b33402f247ba6c7c27c112e7ba7a60db92c5c70cfd3053d52",
"7bb11fb37324726bf8e74498a4f87855bf3ed0337aef92c1f6d7a5634b5b090f"
] | [
"google/gemma-2-9b-it",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | Using Moseley’s law for characteristic \(K_\alpha\) lines, the wavelength decreases as atomic number increases. Copper’s line at \(1.5405\,\text{\AA}\) provides a reference:
- \(0.7092\,\text{\AA}\) is much shorter, indicating an element heavier than copper; among the listed choices, molybdenum (\(Z=42\)) is a match.
... | null | stop | 610 | 143 | E | 1 | ok | null | 2026-09-27T01:27:48.166116+00:00 |
hf:009a08cb3805dda2ec2866d4e37de9b849bc8b1ecbe871c66d090da71389bcda | 321b11e0a725c9456e13878e11bb9a62e5c1a032ec18d5802bb9ad78cde1ddaa | train | mmlu_pro | false | 6.3-5. Let $Y_1 < Y_2 < \cdots < Y_8$ be the order statistics of eight independent observations from a continuous-type distribution with 70 th percentile $\pi_{0.7}=27.3$.
(a) Determine $P\left(Y_7<27.3\right)$.
Choices (ordered label, text pairs):
[["A","0.7890"],["B","0.3456"],["C"," $0.2553$"],["D","0.1975"],["E",... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "I."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[A]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[C]."
},
{
"model": "cl... | [
"8d3c2f282aa8105a6c23c7731c6ff5344c3d0d99e534d4145d446890408478d7"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | Since \(27.3\) is the 70th percentile and the distribution is continuous, each observation is below \(27.3\) with probability \(0.7\). Thus the number below \(27.3\) has a \(\mathrm{Binomial}(8,0.7)\) distribution.
The event \(Y_7<27.3\) means at least 7 observations are below \(27.3\). Therefore,
\[
P(Y_7<27.3)=\bino... | null | stop | 605 | 247 | C | 1 | ok | null | 2026-09-27T01:27:48.696796+00:00 |
hf:009527353e67c9b274fc409558ce571713806e5c9359f5d4d87d4de6f1c95e52 | 87d52aabfcfb2c739c54d28f8ddd21a90bb286a314417621231d3ef5be000b18 | train | mmlu_pro | false | 4 liters of octane gasoline weigh 3.19 kg. Calculate what volume of air is required for its complete combustion at S.T.P.
Choices (ordered label, text pairs):
[["A","22,102.28 liters air"],["B","58,650.00 liters air"],["C","49,350.25 liters air"],["D","65,292.15 liters air"],["E","39,175.40 liters air"],["F","26,116.9... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[J], assuming there was an error in the calculation or the question setup."
},
{
"model": "Qwen/Qw... | [
"390e157f08a1d1f67f8586132efff47bb7f0dafa91a19ee8de2319c1f082c02a",
"32d3c7450a583db9e5a322201d91fb8a84a1586f52dd138a6fd996d144c203b1"
] | [
"google/gemini-1.5-flash-001",
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | Octane is \( \mathrm{C_8H_{18}} \), and complete combustion is:
\[
2\mathrm{C_8H_{18}}+25\mathrm{O_2}\rightarrow16\mathrm{CO_2}+18\mathrm{H_2O}.
\]
Moles of octane:
\[
\frac{3190\text{ g}}{114\text{ g/mol}} \approx 27.98\text{ mol}.
\]
Thus oxygen required is \(27.98\times12.5\approx349.8\) mol. At STP, this occupies ... | null | stop | 590 | 241 | E | 1 | ok | null | 2026-09-27T01:27:48.767795+00:00 |
hf:011d99ed424cd4aacd6b736df169ac74699958c72fbaabeb9958ddf346aa9c51 | 104ef5d805e9ae87f4eb805d53ee8e6dd23c5113078cf3dfd314d35c4899f931 | train | mmlu_pro | false | Instead of asking why the act of destroying the environment might be immoral, Hill wants to ask
Choices (ordered label, text pairs):
[["A","how the decision to preserve the environment benefits the environment."],["B","how the destruction of the environment affects the economy."],["C","why people who preserve the envi... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "E."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D."
},
{
"model": "clau... | [
"d3dee23431f0346adc0d473d6f712d6f1d641faf57ded5f7f79c8e7376c97478",
"d85e3560fdea4236a021f59d9b836f524fd4944f4c566e10782a27b93f685559",
"66f55fc01386f925f1e15b23512ea5ae15651d87002b361ecce222d6467760d7"
] | [
"meta-llama/Llama-2-7b-chat-hf",
"meta-llama/Llama-2-7b-chat-hf",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | Hill shifts the focus from judging the act itself to considering what the act reveals about a person’s character. So he asks why people who destroy the environment might be bad people.
Final answer: G | null | stop | 598 | 134 | G | 1 | ok | null | 2026-09-27T01:27:48.855129+00:00 |
hf:0105a32fd390123903bbaa5e2d42192f938cecabb7722f1b84249298ca45e6be | 1e57e1ddfec9d21846a15f2881470e890cd54540936d7f844543a519a565976b | train | CohereLabs/fusion-synth-data-s1kx | false | Нейтрино являются чрезвычайно легкими частицами и редко взаимодействуют с веществом. Солнце испускает нейтрино, каждый с энергией $ 8 \ Times 10^{-14} \ mathrm {~ J} $ и достигает плотности потока $ 10^{11} $ Neutrinos $/\ \ left (\ mathrm {s} \ mathrm {cm}^{2} \ справа) $ на поверхности Земля. | [
{
"model": "CohereFusion/command-a",
"final_answer": "1"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "$8 \\times 10^{-3}$"
},
{
"model": "CohereFusion/kimik2",
"final_answer": "80 Вт/м²"
},
{
"model": "CohereFusion/qwen3",
"final_answer": "$ 8 \\times 10^{-3}... | [
"5697aa862b69131ac85b25135223f837215bb5253f2778648cf39fb0029c0bcb"
] | [
"CohereFusion/deepseek-v3"
] | rerun-jiang/gpt-6-luna | luna | Поток энергии равен произведению энергии одного нейтрино на число нейтрино, проходящих через единицу площади за секунду:
\[
(8\times10^{-14}\,\mathrm J)(10^{11}\,\mathrm{s^{-1}cm^{-2}})
=8\times10^{-3}\,\mathrm{W/cm^2}.
\]
Так как \(1\,\mathrm{W/cm^2}=10^4\,\mathrm{W/m^2}\), получаем \(80\,\mathrm{W/m^2}\).
Final answ... | null | stop | 538 | 239 | \(80\,\mathrm{W/m^2}\) | 1 | ok | null | 2026-09-27T01:27:48.881610+00:00 |
hf:013b4b9bfaec3f6b1cfa4a37fbeea88fc107924c7f8edf85ddb37bafa4ae7e8d | 7400422c1d159733ab26be03b6001ee88ef7dc5922fb7fe2d97bfd5aa4bc42e1 | train | mmlu_pro | false | Operant extinction would NOT be the treatment-of-choice when:
Choices (ordered label, text pairs):
[["A","the behavior has been reinforced on a continuous schedule."],["B","the behavior is not causing significant distress or dysfunction."],["C","the behavior is a part of the individual's cultural or religious practice... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C. the behavior is a part of the individual's cultural or religious practices."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C."
},
{
"model": "Qwe... | [
"97c9ec19dbc585ebe2efaf095747809aadc8f806e0994896d655b74fa42f82ae"
] | [
"google/gemini-1.5-flash-001"
] | rerun-yibingwei/gpt-6-luna | luna | Operant extinction is most appropriate when the target behavior is problematic and its reinforcement can be withheld safely. It may cause an initial temporary increase in the behavior (an extinction burst), which can be unsafe or unacceptable in some cases.
Final answer: E | null | stop | 547 | 53 | E | 1 | ok | null | 2026-09-27T01:27:49.178858+00:00 |
hf:00d2e2c5be68ee7fb0d2d5925a5d5b76fc29dc3c74a595d026cc5d790aa3f0be | 6abe8f869d41573ccf531221405b11a6f399f9a50b41bf7f3b99a31772c52ac8 | train | CohereLabs/fusion-synth-data-s1kx | false | Acha $ n \ geq 2 $ iwe ya asili. Fafanua $ $ x = \ {(a_1, a_2, \ cdots, a_n) | a_k \ in \ {0,1,2, \ cdots, k \}, k = 1,2, \ cdots, n \} $ $. | [
{
"model": "CohereFusion/command-a",
"final_answer": "(n+1)!"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "$(n+1)!$"
},
{
"model": "CohereFusion/kimik2",
"final_answer": "{(a₁, a₂, ..., aₙ) | aₖ ∈ {0,1,2,...,k}, k = 1,2,...,n}"
},
{
"model": "CohereFusion/qwen3",... | [
"85d6854d1f80c3366fe613b7a037601759c918dfbfdbcd6a83b93d90b2fee134"
] | [
"CohereFusion/deepseek-v3"
] | rerun-jiang/gpt-6-luna | luna | Kwa kila \(k\), kipengele \(a_k\) kina \(k+1\) chaguo. Chaguo za viwianishi ni huru, kwa hiyo
\[
|X|=\prod_{k=1}^{n}(k+1)=2\cdot3\cdots(n+1)=(n+1)!.
\]
Final answer: \((n+1)!\) | null | stop | 517 | 271 | \((n+1)!\) | 1 | ok | null | 2026-09-27T01:27:49.337197+00:00 |
hf:00afed59ffbcdc888ae5f5745b025902333b4c3004d259540fae1baa4b2fd6e3 | 99e9f0906401186ff078fe2d46895d0459d62bcecca11024d414cb61608b1dd8 | train | contexthub_deductive_level4 | false | The universe had a beginning in time; it has not always existed eternally in the past. Everything that begins to exist has a cause. Since the universe began to exist, it must have a cause for its existence. That cause must be outside the universe itself. It must be immaterial and timeless - a transcendent cause. A tr... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A. True."
},
{
"model": "google/gemma-2-9b-it",
"final_answer": "B**."
},
{
"model": "google/gemma-2-9b-it",
"final_answer": "B. False**."
},
{
"mod... | [
"a7df599b2f92787b5d511596e9061d0a8442b836bc8090fb0235efef315e8433"
] | [
"Qwen/Qwen2-7B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | 1. The passage presents philosophical arguments for God’s existence, but it does not ask a specific question.
2. The claims are not established as universally true merely by being asserted, so “True” or “False” is not a clear assessment of the passage as a whole.
3. The best choice is **N/A**.
Final answer: C | null | stop | 746 | 205 | C | 1 | ok | null | 2026-09-27T01:27:49.356184+00:00 |
hf:00caa47525fec78df6d5fade134e22975be176603522b897dfb0b52405a59b5b | 9d310950e1b23d82912f0af108735378f7fd9b59f687ca041f3baa754649e991 | train | mmlu_pro | false | Planets X, Y and Z take 360, 450 and 540 days, respectively, to rotate around the same sun. If the three planets are lined up in a ray having the sun as its endpoint, what is the minimum positive number of days before they are all in the exact same locations again?
Choices (ordered label, text pairs):
[["A","2700"],["... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[G]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[G]."
},
{
"model": "cl... | [
"2244c6c5c92bf9c47b5c3d29d78bac2e442f39bb8a6098145f27c60550337565",
"77250fce78fa8f0e1706680811fc7fbb143850c938f96f449bb5cd189283e369"
] | [
"mistralai/Mistral-7B-Instruct-v0.3",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | For all three planets to return to their exact starting locations, the elapsed time must be a common multiple of their orbital periods. The minimum such time is their least common multiple:
- \(360 = 2^3 \cdot 3^2 \cdot 5\)
- \(450 = 2 \cdot 3^2 \cdot 5^2\)
- \(540 = 2^2 \cdot 3^3 \cdot 5\)
Thus, \(\operatorname{LCM}... | null | stop | 572 | 273 | G | 1 | ok | null | 2026-09-27T01:27:49.394758+00:00 |
hf:00b9a609de1226127ecd3660ea21cf1d07d6cc5ad76cdc87e95fd70aca7f114f | 932b16d2fe1f2604cd4025f2f1a96124d8fa9557a24f5f861e51c402de741d60 | train | contexthub_abductive_level4 | false | John has a well-maintained road bike and the weather is clear and sunny, making for ideal conditions for a long bike ride. Although John did not sleep well and is feeling a bit tired, he is considering whether to go for a ride given the nice conditions. John decides to head out, packing plenty of water, snacks and plan... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "C. N/A, because the question doesn't ask for a specific fact or opinion but rather seems to be asking for ... | [
"e93cae5a8ba9b52fbc4862797a6021df994fb172a2472339c96f793f95c86721"
] | [
"Qwen/Qwen2-7B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | The prompt provides a scenario but no specific statement to judge as true or false, so the answer is not applicable.
Final answer: C | null | stop | 711 | 182 | C | 1 | ok | null | 2026-09-27T01:27:50.128170+00:00 |
hf:015e4f43aa32219c433836e241042cecab7ad0e73fe0777cc78693c49ee1182d | c4718dd63b7e4d69a847c3446028551d7e0c0ef88ef4b19b8d3c729e276249cc | train | mmlu | false | A strong movement away from all religions is called
Choices (ordered label, text pairs):
[["A","secularism."],["B","heathenism."],["C","sacrilege."],["D","nationalism."]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A. secularism."
},
{
"mod... | [
"72c16416a73c7bd3c80837072ea2946fdf9f7643d70c6300c69a94ac0e3dba6c"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | A strong movement away from all religions is called **secularism**. The other choices refer to nonreligious people, irreverence toward something sacred, or devotion to one’s nation.
Final answer: A | null | stop | 493 | 47 | A | 1 | ok | null | 2026-09-27T01:27:50.269556+00:00 |
hf:0103830e12518578423ee3118296d57c04ade064f491c598e512c204aaac1b8c | c0c69f8daae9ccf7047a49f1527ce301e26dfbfe4b4ed10b15263a7d06d499bb | train | op_musr | false | Which location is the most likely place Lisa would look to find the manuscript given the story?
Choices (ordered label, text pairs):
[["A","cupboard"],["B","desk"],["C","drawer"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A: cupboard"
},
{
"model": "... | [
"609b2be017c9887af3e0887a6500bed26b36586745d6cfd689d402be8d4057c8"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-jiang/gpt-6-luna | luna | 1. A manuscript is a written document, often kept where someone works on it.
2. Of the choices, a desk is the most likely place.
Final answer: B | null | stop | 485 | 143 | B | 1 | ok | null | 2026-09-27T01:27:51.009316+00:00 |
hf:0098c7d215d8459f5dc0c83c651a6d3f195dff8bcec464a8eb6d7a1dc1220311 | bb11f92054458cfeaa59324b37548f089868346d263ce1631877a7120fc1967c | train | contexthub_deductive_level3 | false | The city launched a new recycling program, and residents started separating their waste into recyclables and trash. If residents separated waste or the city launched the recycling program, then the amount of waste sent to landfills decreased. The city did not build a new waste-to-energy incinerator plant, and air pollu... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B. False."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A. True."
},
{
"model": "google/gemma-2-9b-it",
"final_answer": "B**."
},
{
"mo... | [
"5b6576c55410af642fefcbd82af8c0fe8987178498347976b9a061f503ff1852"
] | [
"Qwen/Qwen2-7B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | 1. The program launched and residents separated waste, so the landfill-decrease condition is met.
2. The city did not build an incinerator, and air pollution did not increase.
3. Nothing states whether the efforts had a net positive environmental impact.
4. Therefore, we cannot determine whether the city needs to re-ev... | null | stop | 596 | 280 | C | 1 | ok | null | 2026-09-27T01:27:51.128819+00:00 |
hf:017cfc1f4b6dc78232d452aec73ad69b3de22893ed80b4242e4cb86635b5f30c | 7d9c2334906b4432234b34266f753c92ce78ff7360d81817b52c09ac9bdb24a8 | train | stratqa | false | Is Jenny McCarthy in same industry as her cousin?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( B ) False"
},
{
"model": "... | [
"9646b350109efe7cf9ba2699575056f4018bbf8e5281ff388d38f8dd940e2c0b"
] | [
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | Jenny McCarthy is an actress and television personality. Her cousin, Melissa McCarthy, is also an actress and comedian, so they work in the same industry.
Final answer: A | null | stop | 472 | 40 | A | 1 | ok | null | 2026-09-27T01:27:51.590555+00:00 |
hf:01697aca8fb0056d1b8cf5d44ad99a73d2cf9eb808575f877b713af2d19bd783 | 28e26e2dbd02f2b829e21b72008eac3095a5ae331c89a5b0f748622c6a4ba56d | train | mmlu_pro | false | A man has a concave shaving mirror whose focal. length is 20 in. How far should the mirror be held from his face in order to give an image of two-fold magnification?
Choices (ordered label, text pairs):
[["A","8 in."],["B","25 in."],["C","10 in."],["D","40 in."],["E","5 in."],["F","12 in."],["G","30 in."],["H","35 in.... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "I."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "J."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[C]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[J]."
},
{
"model": "cl... | [
"d5f0e1210b44f487fb51e4eadfde5d1d4819fd5cca6b16ee98f8c9baf1726de4"
] | [
"google/gemma-2-9b-it"
] | rerun-yibingwei/gpt-6-luna | luna | For a concave mirror, \(1/f=1/u+1/v\), and the magnification magnitude is \(m=|v/u|=2\).
For the usual shaving-mirror image (upright and virtual), \(v=-2u\). Thus
\[
\frac1{20}=\frac1u-\frac1{2u}=\frac1{2u},
\]
so \(u=10\) inches.
Final answer: C | null | stop | 560 | 101 | C | 1 | ok | null | 2026-09-27T01:27:51.708512+00:00 |
hf:01709b2d0ab89a05cbb98349b36ebc999517ed8e993cbb75b5152d0b6616fade | 794ed49703a6d2d95e39b326d5743bdc8490582467d4dffd5c556a6620f0ae71 | train | stratqa | false | Is John Cazale's 1970s partner yet to debut in a Coen brothers movie?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B) False"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( B ) False"
},
{
"mo... | [
"9d4b2ead6cc746935fe0fd913aa18a28b409824ac7a7f8063f1f4c7cc4a8d429"
] | [
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | John Cazale’s partner in the 1970s was Meryl Streep. She appeared in the Coen brothers’ *The Giver*? No—Streep has not appeared in a Coen brothers movie. So the statement is true.
Final answer: A | null | stop | 482 | 61 | A | 1 | ok | null | 2026-09-27T01:27:51.960862+00:00 |
hf:006148712a7da462e29e137a04044afab15d71698dcd22506cb3b9674e28a59e | 6c2c4e1b94fab199b632e810f3cab7460c9d7e70ac2033a024865e19420e896e | train | mmlu_pro | false | Evaluate$$\lceil\sqrt{5}\rceil + \lceil\sqrt{6}\rceil + \lceil\sqrt{7}\rceil + \cdots + \lceil\sqrt{29}\rceil$$Note: For a real number $x,$ $\lceil x \rceil$ denotes the smallest integer that is greater than or equal to $x.$
Choices (ordered label, text pairs):
[["A","112"],["B","210"],["C","130"],["D","113"],["E","11... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[J]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "cl... | [
"77c20f6c185a6f3e437b9699421779f678af18f9d7fd86d7e20c005486140d14",
"09c7a72fb7a3b4ebf531de411100b4d75729ce5dbe92d561eaf45d9cc0ae852f",
"c1159923a59d1ce27818e807896e7fba8fdf95962d889334fc52b01d7791a93a",
"55eebcbe2dfbdb4a202fa71e604523304c7811f5ddb7448770d6ff7cb91152fb",
"5ab7443f9e769ce76868551efd005e89339... | [
"gpt-4o-2024-08-06",
"gpt-4o-mini-2024-07-18",
"gpt-4o-mini-2024-07-18",
"meta-llama/Llama-2-7b-chat-hf",
"meta-llama/Meta-Llama-3.1-8B-Instruct",
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | Group the integers by the value of their ceiling square root:
- For \(5\le n\le 9\), \(\lceil\sqrt n\rceil=3\), contributing \(5\cdot3=15\).
- For \(10\le n\le16\), it is \(4\), contributing \(7\cdot4=28\).
- For \(17\le n\le25\), it is \(5\), contributing \(9\cdot5=45\).
- For \(26\le n\le29\), it is \(6\), contributi... | null | stop | 584 | 260 | A | 1 | ok | null | 2026-09-27T01:27:52.652544+00:00 |
hf:01a3a0f52476d6b3a81d60b9557ed1368eb3eb17115022d9e894e8e2a2c5bae9 | a3bbd622a239fde8ed4633d42967b966ffb6470f8097f29ccb55b270fec4c203 | train | CohereLabs/fusion-synth-data-geofactx | false | เทศกาลดนตรีประจำปีอะไรที่จัดขึ้นในนิวออร์ลีนส์ รัฐลุยเซียนา | [
{
"model": "CohereFusion/command-a",
"final_answer": "Mardi Gras"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "New Orleans Jazz & Heritage Festival"
},
{
"model": "CohereFusion/kimik2",
"final_answer": "New Orleans Jazz & Heritage Festival"
},
{
"model": "CohereF... | [
"f159473d0dd497aa4a15c9d542eefa18da66839899629872fe6192077d597b69"
] | [
"CohereFusion/deepseek-v3"
] | rerun-jiang/gpt-6-luna | luna | 1. คำถามถามถึงเทศกาลดนตรีประจำปีที่จัดขึ้นในนิวออร์ลีนส์ รัฐลุยเซียนา
2. เทศกาลที่เป็นที่รู้จักมากที่สุดคือ New Orleans Jazz & Heritage Festival หรือที่เรียกสั้น ๆ ว่า Jazz Fest
Final answer: New Orleans Jazz & Heritage Festival (Jazz Fest) | null | stop | 471 | 84 | New Orleans Jazz & Heritage Festival (Jazz Fest) | 1 | ok | null | 2026-09-27T01:27:52.706218+00:00 |
hf:009e55ac63113a4c3834c41295cabe6a995ea8681550e0c68988f1de31f57105 | 5d1174b6c90600f28f33287fe9be0f3b380752ef44ae9a9853d203b9a55dfd9e | train | mmlu_pro | false | Determine the maximum theoretical height to which water at 150°F may be raised by a vacuum at sea level.
Choices (ordered label, text pairs):
[["A","29.85 ft"],["B","42.67 ft"],["C","55.16 ft"],["D","18.95 ft"],["E","75.5 ft"],["F","34.59 ft"],["G","61.2 ft"],["H","50 ft"],["I","8.56 ft"],["J","26.03 ft"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[H]."
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "J."
},
{
"model": "... | [
"e6e7debe9cb5cc17c5def08002913b1601f257b57243580b2b231c450d248b61",
"0e359a7b19e148d793cae7f13c627e511950a00651c4ac7a5045b6b1b3742480",
"57d40a304fe6991c1a201ba2a7d28a4a67e2b05afcba6902b941f3a56aa45b55",
"c08fe78735a73c830507364b6b6a9e0ada03d58931f3ae6036c9f5918164cc28"
] | [
"Qwen/Qwen2-7B-Instruct",
"google/gemma-2-9b-it",
"google/gemma-2-9b-it",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | At 150°F, water’s vapor pressure is about 3.63 psia, and its specific weight is about 61.2 lb/ft³. The maximum lift is the pressure difference between the atmosphere and the vapor pressure expressed as a water column:
\[
h=\frac{(14.7-3.63)(144)}{61.2}\approx 26.03\text{ ft}.
\]
Final answer: J | null | stop | 551 | 403 | J | 1 | ok | null | 2026-09-27T01:27:52.937900+00:00 |
hf:0105708e1f2adca750fdc87cbbc5647824269d2507deeaca22f6cddab3d8d788 | 897022401256121e3c7f5879d51936e434d15ab4619e2e1de193ccbbb22674ff | train | contexthub_abductive_level3 | false | If the bowlers are not getting much bounce or the pitch is not dry and hard, then the batting team has an advantage. If the fielding team won the toss or chose to bowl first, they want to take advantage of early pitch conditions. If the opening batsmen are out of form or the opening bowlers are bowling well, the openin... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "C."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "google... | [
"fc835297281cd951839ed6f7015c9047827014d26542dc3903e717481bcf38a4"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | 1. A low score follows if the team is struggling early or is on the back foot because the pitch favors bowling.
2. Since the team is **not** headed for a low score, those conditions did not occur.
3. But the rules do not establish that a pitch that is not dry and hard must favor batting enough to prevent a low score. T... | null | stop | 673 | 431 | C | 1 | ok | null | 2026-09-27T01:27:53.044909+00:00 |
hf:01b95ff562751ba437b98161868c5a0135a56123bbc47f5d92c6d1006b00ac4c | c7b4cb55eedb3441666c51bf0244adcbb3369485f2479338869d00aec11e80a4 | train | mmlu_pro | false | Explain the two arguments that have always been advanced fora special policy towards farmers.
Choices (ordered label, text pairs):
[["A","Climate change adaptation and biotechnology"],["B","International trade and subsidies competition"],["C","Agricultural sustainability and urbanization pressures"],["D","Land reform ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "H."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "G."
},
{
"model": "claude... | [
"aad3f3fd07a5fbb906bcaca4673bb247bc5449c66fb04c8cafe679b4407af91d"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | A special policy toward farmers has traditionally been justified by two concerns: ensuring national security through a reliable food supply, and preserving rural life and communities.
Final answer: F | null | stop | 562 | 37 | F | 1 | ok | null | 2026-09-27T01:27:53.113943+00:00 |
hf:00bd752ac044115ef99b6310d111b1b143be17d1f5658b64d2f1b7647ad69096 | 5c817f6d6cb711735d9c38b60b68d1a7914f42737d02d277efa15aee5f40a88f | train | mmlu | false | A 15-year-old girl comes to the emergency department because, she says, "something has been sticking out of my bottom since I had a bowel movement this morning." She has not had previous episodes, although for more than 1 year she has had occasional difficulty passing stools. She is not in pain but is afraid to move he... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "D."
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "A."
},
{
"model": "cla... | [
"a6e9dca8cd46f0db49baa371d4b7a86b2283fad2c46110fb879d2e988c38300a"
] | [
"Qwen/Qwen2-72B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | A 15-year-old who is a parent is generally treated as an emancipated minor for purposes of consenting to her own medical care. Her consent is therefore sufficient to evaluate the rectal problem.
Final answer: A | null | stop | 671 | 459 | A | 1 | ok | null | 2026-09-27T01:27:53.146413+00:00 |
hf:01603ec11aa5f958d5cba16dbbd736e0927f2080f0154b2b686c2c2b96d78740 | 9730be8805536652977d447fbcb6e1854183e546d59c6acc358e93a738a67411 | train | mmlu_pro | false | A company with offices in five different countries is interested in estimating the proportion of its employees in favor of banning smoking on the office premises. It is known that the views of people from different countries on issues like smoking tend to vary due to the influence of different local social structures. ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "F."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[F]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "F. Stratified sample, because t... | [
"958cfc025621000c7f931cb0d8baa1c6b2b4630a8725192d6bb7807389806706"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | 1. Views may differ by country, so country should be accounted for in the sample.
2. Divide employees into groups by country, then randomly sample employees within each group to ensure all five countries are represented.
3. This is stratified sampling.
Final answer: F | null | stop | 738 | 142 | F | 1 | ok | null | 2026-09-27T01:27:53.307745+00:00 |
hf:016c9af13e479e9397e9af18442c76b22287ebaa12f08a78933edc484b3c5178 | 866ce7c6167cc5e4012c8d497df088f5a6488ea0726cf599793f97deac2e658f | train | agieval_lsat_rc | false | Passage AEvolutionary psychology has taught us to examine human behavior from the standpoint of the theory of evolution—to explain a given type of human behavior by examining how it contributes to the reproductive success of individuals exhibiting the behavior, and thereby to the proliferation of the genetic material r... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "therefore E."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "therefore E"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "therefore B"
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "t... | [
"3e6de5c27c69da97f9a744e0f5bb847021334a271c6ce0021d7080a5294aacd9",
"7fd09cc931d2a3c323ce0c43ca4f0b701350970634e8731300de9b6efc88415e"
] | [
"Qwen/Qwen2-7B-Instruct",
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-jiang/gpt-6-luna | luna | Passage A explains altruistic behavior by appealing to the evolutionary benefit of propagating genes. Passage B challenges this kind of explanation: the same behavior may be explained by a direct concern for another person, so the evolutionary explanation does not follow decisively from the behavior alone. Thus, B ques... | null | stop | 1,213 | 161 | E | 1 | ok | null | 2026-09-27T01:27:53.648909+00:00 |
hf:016f40f5b615e6ca80212e48e537c42ac31cfc7f1a1b3153ef357c4608dd0422 | fc65df73c0cb54c1b1fb1e9d86cc2bf433006bd628de6c83d2945da2c5d72aec | train | mmlu_pro | false | The indices of refraction of rock salt for theFraunhoferlines C, D, and F are 1.5404, 1.5441, and 1.5531, respectively. Calculate the value of the reciprocal of the dispersive power.
Choices (ordered label, text pairs):
[["A","72.84"],["B","47.84"],["C","12.84"],["D","27.84"],["E","22.84"],["F","52.84"],["G","42.84"],... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[A]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[F]."
},
{
"model": "cl... | [
"96f3e715acbcf8cca9e583c85dae68c0d3ed8d66f0ef451740b68c6274e91c82"
] | [
"meta-llama/Meta-Llama-3.1-70B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | The dispersive power is
\[
\omega=\frac{n_F-n_C}{n_D-1}
=\frac{1.5531-1.5404}{1.5441-1}.
\]
Thus its reciprocal is
\[
\frac{1}{\omega}=\frac{1.5441-1}{1.5531-1.5404}
=\frac{0.5441}{0.0127}\approx 42.84.
\]
Final answer: G | null | stop | 575 | 168 | G | 1 | ok | null | 2026-09-27T01:27:54.318417+00:00 |
hf:01d6d8bff347e7bfe68adf2655206eab312f5be198a104d5136cde5274c55d02 | 582d186c403fcf5e5b9de9fdd0a9f1ae28adfa7884901c1e8a1f517612b8c64f | train | stratqa | false | Is human jealousy exhibited in larger mammals?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( B ) False"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A"
},
{
"model": "... | [
"6fdd2f019f0543d549c77a16e6c3e44b147de319fb6cc8fedefef83757de18b2"
] | [
"meta-llama/Llama-2-7b-chat-hf"
] | rerun-yibingwei/gpt-6-luna | luna | Larger mammals can display jealousy-like behaviors, such as reacting when a social partner gives attention to a rival. So the statement is true.
Final answer: A | null | stop | 469 | 36 | A | 1 | ok | null | 2026-09-27T01:27:54.882216+00:00 |
hf:014c364d1f7b1da4278617979d9b7e3ee47283b402183edc325c5ab66502e795 | 2aa0a07358e7190902198bd6eb9ee0cc9a855be223e47c801f1a6e1029e0b449 | train | CohereLabs/fusion-synth-data-geofactx | false | กฎทางไวยากรณ์ใดที่ควบคุมการสร้างประโยคเงื่อนไขในภาษาสวาฮิลี | [
{
"model": "CohereFusion/command-a",
"final_answer": "กฎ verb agreement, word order, และ punctuati"
},
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "การใช้ปัจจัยแสดงเงื่อนไขและกาลที่เหมาะสม"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "กฎการใช้กาล (tense) และคำ... | [
"e74a08245c1a963cc822eb1561651d332c651213672add97eaf3adf73eb85c12",
"63dcde4b8fc070c27bf2c48e0d8112ab1a670ea5babedf179e07b32f8ac93281"
] | [
"CohereFusion/kimik2",
"CohereFusion/qwen3"
] | rerun-yibingwei/gpt-6-luna | luna | ประโยคเงื่อนไขในภาษาสวาฮิลีใช้คำเชื่อม **kama** (“ถ้า”) หรือ **ikiwa** (“หาก”) นำหน้าข้อความเงื่อนไข จากนั้นใช้รูปกริยาที่เหมาะกับกาลและความหมาย โดยรูปที่พบบ่อยสำหรับเหตุการณ์สมมติคือ **-nge-** เช่น *Ningekuwa na pesa, ningesafiri* (“ถ้าฉันมีเงิน ฉันก็จะเดินทาง”)
Final answer: ใช้ **kama** หรือ **ikiwa** นำหน้าข้อความ... | null | stop | 476 | 165 | ใช้ **kama** หรือ **ikiwa** นำหน้าข้อความเงื่อนไข และเลือกเครื่องหมายกริยา เช่น **-nge-** ตามกาลและความหมายของเงื่อนไข | 1 | ok | null | 2026-09-27T01:27:55.046989+00:00 |
hf:01062834e97670027fb054c313998110b85bfc4a62b196ad134b7542330b73b8 | 52caaa3254aff54fd14c8bc5770479304fed7516515477f46931a4db328b888f | train | mmlu_pro | false | Let $P(r,t,T)$ denote the price at time $t$ of $1 to be paid with certainty at time $T, t\leT$, if the short rate at time $t$ is equal to $r$. For a Vasicek model you are given: $P(0.04, 0, 2)=0.9445$, $P(0.05, 1, 3)=0.9321$, $P(r^*, 2, 4)=0.8960$. What is $r^*$?
Choices (ordered label, text pairs):
[["A","0.11"],["B"... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "G."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[B. 0.06], as it is the only option less than 0.05 and fits the decreasing price trend as the rate increas... | [
"fdbbae6976ad3b5af224517ba7584cb7d20657720f6d4d7f25430b1f24825fdc",
"496992cfd3a16c141ce29bd6382c4a7cdab5b1cb5b7c653c9891f25976b1155b"
] | [
"google/gemma-2-9b-it",
"meta-llama/Meta-Llama-3.1-8B-Instruct"
] | rerun-yibingwei/gpt-6-luna | luna | For a Vasicek model, the bond price for a fixed time to maturity has the form \(P(r)=A e^{-Br}\), with the same \(A,B\) for each two-year bond. Thus,
\[
B=\frac{\ln(0.9445/0.9321)}{0.05-0.04}\approx1.322.
\]
Using the price \(P(r^*)=0.8960\),
\[
r^*=0.04+\frac{\ln(0.9445/0.8960)}{1.322}\approx0.08.
\]
This corresponds ... | null | stop | 638 | 506 | E | 1 | ok | null | 2026-09-27T01:27:55.143433+00:00 |
hf:01ea0823cb9d59a6c222ff819235abcf7331e8791f5ed4cc0d7595ab7b9ef860 | 8d3825311276ab8c5b704f13ce9a9995830db38b9a2a175c339546ea5dcfb997 | train | CohereLabs/fusion-synth-data-geofactx | false | कौन सा संस्थान लॉस अलामोस नेशनल लेबोरेटरी (Los Alamos National Laboratory) का प्रबंधन करता है? | [
{
"model": "CohereFusion/command-a",
"final_answer": "Triad National Security, LLC"
},
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "ट्राइएड नेशनल सिक्योरिटी, एलएलसी"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "ट्राइटीज कॉर्पोरेशन"
},
{
"model": "Coher... | [
"5741dd482b1aa7f18adf7e9c01e652fa138bd263479801539adb973ca710705c"
] | [
"CohereFusion/qwen3"
] | rerun-jiang/gpt-6-luna | luna | 1. लॉस अलामोस नेशनल लेबोरेटरी अमेरिकी ऊर्जा विभाग के स्वामित्व में है।
2. इसका संचालन और प्रबंधन ट्रायड नेशनल सिक्योरिटी, LLC करती है।
Final answer: ट्रायड नेशनल सिक्योरिटी, LLC | null | stop | 471 | 63 | ट्रायड नेशनल सिक्योरिटी, LLC | 1 | ok | null | 2026-09-27T01:27:55.192660+00:00 |
hf:00f0e4d2ca32333ae9786ab97eb34d25bf09c62db1702fce510205340deb3c20 | 8fcc08462caf05dea5f2e840f1a706b0b9e347187fd46773509fd3ed48f31c0e | train | gsm8k_hard | true | In one hour, Ezra read twice as many books as Ahmed. Ezra has read 6540573 books this hour and decided to read 150 more. How many books have they read altogether? | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "9811009"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "9811009"
},
{
"model": "claude-3-5-sonnet-20240620",
"final_answer": "9811009 books"
},
{
"model": "claude-3-haiku-20240307",
"final_answer": "9810009.... | [
"1f8c3748cec8df5003454e525d196d875773e511b5105f2132d733b2a79d7f24"
] | [
"microsoft/Phi-3-small-8k-instruct"
] | rerun-jiang/gpt-6-luna | luna | 1. Ahmed read half as many as Ezra: \(6{,}540{,}573 \div 2 = 3{,}270{,}286.5\).
2. Ezra plans to read 150 more, bringing his total to \(6{,}540{,}573 + 150 = 6{,}540{,}723\).
3. Together, they will have read \(6{,}540{,}723 + 3{,}270{,}286.5 = 9{,}810{,}859.5\).
Final answer: 9810859.5 | null | stop | 480 | 489 | 9810859.5 | 1 | ok | null | 2026-09-27T01:27:55.510008+00:00 |
hf:01d41ff2ec33b05e6997d6ea8f22f5268f18b02ceccc8a5c01d86edc608098e2 | 6cffe35a865e08737108b153710f12bffa92fd527c4442baa8fc976e2f67847d | train | stratqa | false | Did John Lennon collaborate with the man who made the film Walden?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( B ) False"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B) False"
},
{
"mo... | [
"f92d6ca76a4b9bab028bd42977a6ded6d212da6f45aee8b3e205a276d49c11bf"
] | [
"meta-llama/Meta-Llama-3.1-70B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | The film *Walden* was made by experimental filmmaker Jonas Mekas. John Lennon collaborated with Mekas on the 1972 film *Imagine*.
Final answer: A | null | stop | 475 | 39 | A | 1 | ok | null | 2026-09-27T01:27:56.093554+00:00 |
hf:0061a33a5b844a770755bb7ebef22a1f23d2c66883dc3b5af6521da8cc81c981 | cd08b5718678ddce17cb493f11b6770c72563c7c4bf56baa7a2fe1f14ad10561 | train | agieval_lsat_lr | false | Juarez thinks that the sales proposal will be rejected by the committee if it is not rewritten before they see it. Juarez's opinion is very reliable on such matters. Thus, since the proposal will not be rewritten, it will probably be rejected by the committee.Q: The reasoning in which one of the following arguments is ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "therefore A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "therefore A and C"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "therefore (C)."
},
{
"model": "claude-3-5-sonnet-20240620",
"final_ans... | [
"bf282c8cdd0fb9e6ac09e38da93b0ef08b69793ffb4a1f074b4c89660d4b243e"
] | [
"microsoft/Phi-3-small-8k-instruct"
] | rerun-yibingwei/gpt-6-luna | luna | The argument has this form: a reliable source says that if condition Q holds, outcome P will follow; Q holds; therefore, P will probably follow.
Choice C matches: the journal says the medication is safe if the company’s data are accurate, the journal is reliable, and the data are accurate. So the medication is probabl... | null | stop | 795 | 420 | C | 1 | ok | null | 2026-09-27T01:27:56.443524+00:00 |
hf:00f392b88bfbdb25d9e9557737354e4b71b8452aa158a88cad3fd7aea8bd70f2 | 4b4b67344d62535140ded199938f69942ba39bab6455305fda9e76892044d52a | train | musique_all | false | What day is the feast held, in the city that holds the headquarters of the only music company that is larger than the record label of Vilaiyaadu Mankatha? | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "It's unanswerable. The provided paragraphs do not contain information about the size of any music company, the record label of Vilaiyaadu Mankatha, or any feast day in any city."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "It's... | [
"8cad2fb0c9bf159da68f4d92e56540690bec009f6cf56818556ce1fe15dd3f4e"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | The soundtrack of *Vilaiyaadu Mankatha* was released by Sony Music. The larger music company is Universal Music Group, whose headquarters are in Santa Monica, California. The city’s namesake, Saint Monica, has her feast day on August 27.
Final answer: August 27 | null | stop | 476 | 430 | August 27 | 1 | ok | null | 2026-09-27T01:27:56.807588+00:00 |
hf:01880280f10db372e597b3ed26f6dd15e118a890265108345abe6a0fb62b6460 | 64c81328ff57730628c7dea55b3d2b73b908e5a40282d83d0a3e3311c1f8bf11 | train | contexthub_deductive_level3 | false | Jesus was crucified. If Jesus was not crucified, then he did not rise from the dead. Jesus performed miracles, and was not merely a moral teacher. If Jesus was only a moral teacher or he performed miracles, then he was the Son of God. If Jesus did not rise from the dead and he was the Son of God, then Christianity is f... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A. True."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A. True."
},
{
"model": "google/gemma-2-9b-it",
"final_answer": "C."
},
{
"model... | [
"803ed2d0604c67a45653f95d46c17af35ecbc922edcf32ef63da34d92d12b976"
] | [
"Qwen/Qwen2-7B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | 1. The Bible teaches about Jesus and the Apostles preached about him, so the early church proclaimed his message.
2. The early Christians were persecuted, so the early church faced opposition.
3. The message therefore spread despite challenges.
4. The prompt says that if the message spread despite challenges or Christi... | null | stop | 666 | 325 | A | 1 | ok | null | 2026-09-27T01:27:57.448176+00:00 |
hf:01bc673f6966633e98acf73ac6908f624954bf2a2cd0c8c26c27492f016fb7d8 | 0c9f0f02456f01cfe0e8df306139f79935a23a6dccbc3e95d17a877608305013 | train | mmlu_pro | false | Hershberg'sAccounting Service Inc. bought a computer for $6,300,000. The computer will last 35 years, after which time it will be worthless. Find the amount of depreciation for the first three years, using the sum-of-the-years'- digits method.
Choices (ordered label, text pairs):
[["A","$310,000, $300,000, $290,000"],... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "H."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "H."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[H]."
},
{
"model": "cl... | [
"1435463fcada1e3a0a07b0576a497caa1bbe8cd2e53c603db3f7d2eb46c591db",
"090439eb0af68011ce440651111c0a19bb4e12f7c0d15398e79c71a4d5ce11c3",
"95687e6c75d92e84fffb90bb55de391c82ced2ac0902719c75deee00f5fc4941"
] | [
"meta-llama/Llama-2-7b-chat-hf",
"meta-llama/Meta-Llama-3.1-8B-Instruct",
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-yibingwei/gpt-6-luna | luna | The sum of the years’ digits is \(35(36)/2 = 630\). Since the computer’s depreciable cost is \(\$6{,}300{,}000\), each year’s digit corresponds to \(\$6{,}300{,}000/630 = \$10{,}000\).
The first three years’ depreciation is:
- Year 1: \(35 \times \$10{,}000 = \$350{,}000\)
- Year 2: \(34 \times \$10{,}000 = \$340{,}00... | null | stop | 688 | 228 | H | 1 | ok | null | 2026-09-27T01:27:57.454006+00:00 |
hf:0078e731fd21eb5734efb5df4d8ecea1533fc92077fb12381cfd8b309ba15b92 | 15ca8a90cbe3a6d0700d6a2fd72e86f6d3d19c010a28a1908770bcdf9487e0b7 | train | mmlu | false | A person purchased a new car from a local auto dealership. Over the next month, the purchaser drove the car a little more than 1,000 miles. The purchaser noticed that the car made a squeaking noise when the brakes were applied, so the purchaser took the car back to the dealership to have the mechanic there take a look ... | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "D."
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "B."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "[D]."
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "A."
},
{
"model": "clau... | [
"36b2d985828ee887a8940564d4291459b251344ee5a3503ad576b340edba2a86"
] | [
"mistralai/Mistral-7B-Instruct-v0.3"
] | rerun-jiang/gpt-6-luna | luna | The dealership’s work on the brakes was a repair service, so it is not strictly liable merely because the brakes later failed. To recover on the facts given, the purchaser must show the mechanic negligently repaired the brakes and that this caused the crash and injuries.
Final answer: D | null | stop | 669 | 436 | D | 1 | ok | null | 2026-09-27T01:27:57.552604+00:00 |
hf:01bc01704eaf3820058513db5a70b197ef12f6e9efc9d5dd6d3bd63fa811b660 | 5b2e35a8ba1d9a3ea02dbb894e6c817e82697b5733dd24727e1d904c750cfacc | train | stratqa | false | Was Europa important to Stanley Kubrick?
Choices (ordered label, text pairs):
[["A","True"],["B","False"]] | [
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-72B-Instruct",
"final_answer": "A"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "B"
},
{
"model": "Qwen/Qwen2-7B-Instruct",
"final_answer": "( B ) False"
},
{
"model": "... | [
"0eea8040eb7eb8129ddbf216ed7b775c9f798429bdf35f430542a41f6669b6ab"
] | [
"meta-llama/Meta-Llama-3.1-70B-Instruct"
] | rerun-jiang/gpt-6-luna | luna | Europa was significant to Kubrick’s science-fiction vision: *2001: A Space Odyssey* focused on Jupiter and the possibility of extraterrestrial life in its vicinity.
Final answer: A | null | stop | 469 | 211 | A | 1 | ok | null | 2026-09-27T01:27:58.348927+00:00 |
hf:012bd603185b2e7193a48ed1082f970e23e61e83007251463602b0eae6e4c2bf | 469d64ec6eaeedfb76163a832721493c085521470e5ce5a1ca3cb689f46abb1e | train | CohereLabs/fusion-synth-data-s1kx | false | ii。半径が$ r_ {0} $から$ r_ {2} = 0.95 r_ {0} $に縮小するために必要な時間$ t_ {2} $を推定します。落下ガス粒子の位置での重力場の変化を無視します。 | [
{
"model": "CohereFusion/command-a",
"final_answer": "\\[ t_2 = \\sqrt{\\frac{0.1 r_0}{g}} \\]"
},
{
"model": "CohereFusion/deepseek-v3",
"final_answer": "$t_2 = \\frac{0.05 r_0}{v}$"
},
{
"model": "CohereFusion/gemma3-27b",
"final_answer": "情報不足のため、答えは出せません。"
},
{
"model": "... | [
"6a39eafb8f2a6ca04904d2f798e0c544f9dace02b43cec6be2a39e9c8e71b78c"
] | [
"CohereFusion/qwen3"
] | rerun-jiang/gpt-6-luna | luna | 重力加速度を初期位置での値 \(g_0\) として一定とみなします。初速ゼロなら、半径方向の移動距離 \(0.05r_0\) は
\[
0.05r_0=\frac12 g_0t_2^2
\]
なので、
\[
t_2=\sqrt{\frac{0.1r_0}{g_0}}.
\]
\(g_0=GM/r_0^2\) なら、\(t_2=\sqrt{0.1r_0^3/(GM)}\) です。
Final answer: \(\displaystyle t_2=\sqrt{\frac{0.1r_0}{g_0}}=\sqrt{\frac{0.1r_0^3}{GM}}\) | null | stop | 513 | 426 | \(\displaystyle t_2=\sqrt{\frac{0.1r_0}{g_0}}=\sqrt{\frac{0.1r_0^3}{GM}}\) | 1 | ok | null | 2026-09-27T01:27:58.597687+00:00 |
End of preview.
Missing-answer teacher reruns
Source: JonesLin/multi-model-cot-missing-answers, pinned at commit
f32e2f1fc0bcdfd7e0b61929cc494126526e09c9. Open-ended rows were excluded, then rows were deduplicated by
stage1_id within the original train and validation splits. The source has 10,945
eligible questions (10,715 train; 230 validation).
This dataset contains one Luna response per completed question. Requests use
rerun-yibingwei/gpt-6-luna and rerun-jiang/gpt-6-luna alternately; both
resolve to gpt-6-luna on CLI Proxy 7.3.17. The routed model ID used for each
request is recorded in generator.
When a Luna reply still fails the format checks after three replies, the same
question is retried with gpt-6-sol through the two prefixed Codex accounts.
Those records appear in data/sol_fallback.jsonl, with the original Luna
failure preserved in data/luna.jsonl and its reason copied into
luna_failure_reason on the fallback row. The fallback model ID is recorded
per row in generator.
System message, verbatim:
You are a careful expert problem solver.
User message template, verbatim ({prompt} is replaced with the original prompt):
{prompt}
Solve the problem above. Write your reasoning step by step in your reply; the written reasoning is what we keep, so do not rely on hidden reasoning. Keep it concise but complete.
End your reply with exactly one final line in this form:
Final answer: <answer>
Rules for <answer>:
- If the question lists labelled choices, give only the label of one listed choice, for example "Final answer: C".
- For math or numeric questions, give only the final value or expression.
- Otherwise, give the shortest complete answer.
Always commit to one answer, even if unsure. Do not ask for more information.
Generation settings: model defaults for sampling (no temperature, top-p, or
similar parameters); max_tokens=16384; 600-second request timeout. Full-run
concurrency: Luna 32 total across the two Codex accounts. Failed format checks
are retried for up to three model replies. HTTP 429 and 5xx errors use
exponential backoff. cot stores only the
assistant reply body; provider reasoning_content is a separate nullable field.
The scheduler keeps 32 CLI Proxy work batches active, each with up to eight
questions processed as independent model requests, and replaces a batch when
it finishes.
Run timestamps (UTC): 2026-09-27T01:07:05.345749+00:00 to 2026-09-27T02:18:43.651536+00:00. Snapshot status: final.
| File | Rows | Success | Failed |
|---|---|---|---|
data/luna.jsonl |
10945 | 10932 | 13 |
data/sol_fallback.jsonl |
13 | 13 | 0 |
Each row includes the source question metadata, source response IDs and failed
teachers, the generated response and final answer, usage, validation outcome,
and creation time. failed rows preserve the final raw reply and failure reason.
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