Dataset Viewer
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| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 1477, 279, 26313, 979, 279, 1985, 315, 678, 1846, 3(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['321']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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[0]
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[]
| "[([\"<think>\\nOkay, so I need to find the remainder when the product of all those terms from k=0 t(...TRUNCATED) |
{'extracted_predictions': ['1', '1'], 'extracted_golds': ['321', '321']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 11625, 419, 3491, 911, 264, 21669, 2855, 355, 1640,(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['480']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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[]
| "[([\"<think>\\nOkay, so I need to solve this problem about a rhombus inscribed in a hyperbola. The (...TRUNCATED) |
{'extracted_predictions': ['0', '0'], 'extracted_golds': ['480', '480']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 1077, 594, 1430, 311, 21403, 419, 17047, 3491, 13, 88190, 11, 773, 582, (...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['104']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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| "[(['<think>\\nOkay, let\\'s try to tackle this geometry problem. Hmm, so we have two rectangles, AB(...TRUNCATED) |
{'extracted_predictions': ['184', '184'], 'extracted_golds': ['104', '104']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 1077, 594, 1430, 311, 7071, 700, 419, 3491, 13, 2055, 11, 29405, 21895, (...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['055']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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| "[([\"<think>\\nOkay, let's try to figure out this problem. So, Alice picks a set A of positive inte(...TRUNCATED) |
{'extracted_predictions': ['2', '2 (1004'], 'extracted_golds': ['55', '55']}
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[0]
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| "[[(151665, 198, 32313, 11, 1077, 594, 1430, 311, 21403, 419, 3491, 3019, 553, 3019, 13, 2055, 11, 5(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['236']
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[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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0
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[0]
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[]
| "[([\"<think>\\nOkay, let's try to tackle this problem step by step. So, we have a list of positive (...TRUNCATED) |
{'extracted_predictions': ['9', '9'], 'extracted_golds': ['236', '236']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 11625, 419, 3491, 911, 9271, 279, 10578, 315, 279, (...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['721']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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0
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[0]
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[]
| "[(['<think>\\nOkay, so I need to solve this problem about finding the radius of the smallest sphere(...TRUNCATED) |
{'extracted_predictions': ['1.84100000000000', '1.841'], 'extracted_golds': ['721', '721']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 11625, 419, 27853, 32507, 291, 2248, 3491, 13, 6771(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['104']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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0
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[0]
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[]
| "[([\"<think>\\nOkay, so I need to solve this tetrahedron problem. Let me start by understanding wha(...TRUNCATED) |
{'extracted_predictions': ['3', '3'], 'extracted_golds': ['104', '104']}
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[0]
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[]
| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 1477, 279, 7772, 3204, 1931, 949, 315, 279, 7493, 3(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['540']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
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[0]
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[]
| "[(['<think>\\nOkay, so I need to find the largest possible real part of the expression (75 + 117i)z(...TRUNCATED) |
{'extracted_predictions': ['550', '550'], 'extracted_golds': ['540', '540']}
|
[0]
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[]
| "[[(151665, 198, 32313, 11, 773, 358, 1184, 311, 1477, 279, 1372, 315, 12716, 389, 458, 220, 23, 87,(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['294']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
|
0
|
0
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[0]
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[]
| "[(['<think>\\nOkay, so I need to find the number of paths on an 8x8 grid that start at the lower le(...TRUNCATED) |
{'extracted_predictions': ['16', '16'], 'extracted_golds': ['294', '294']}
|
[0]
|
|
[]
| "[[(151665, 198, 32313, 11, 1077, 594, 1490, 13, 2055, 11, 279, 3491, 374, 911, 10826, 315, 362, 545(...TRUNCATED) | "Solve the following math problem efficiently and clearly. The last line of your response should be(...TRUNCATED) | "<|im_start|>system\nPlease reason step by step, and put your final answer within \\boxed{}.<|im_end(...TRUNCATED) |
['073']
|
[]
| "[[151644, 8948, 198, 5501, 2874, 3019, 553, 3019, 11, 323, 2182, 697, 1590, 4226, 2878, 1124, 79075(...TRUNCATED) |
{'extractive_match': 0.0}
|
0
|
0
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[0]
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[]
| "[([\"<think>\\nOkay, let's see. So, the problem is about residents of Aimeville, and we need to fin(...TRUNCATED) |
{'extracted_predictions': ['234', '234'], 'extracted_golds': ['73', '73']}
|
[0]
|
End of preview. Expand
in Data Studio
Dataset Card for Evaluation run of Lansechen/Qwen2.5-3B-Distill-om220k-fem32768-batch32-epoch3-8192
Dataset automatically created during the evaluation run of model Lansechen/Qwen2.5-3B-Distill-om220k-fem32768-batch32-epoch3-8192.
The dataset is composed of 3 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 9 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
An additional configuration "results" store all the aggregated results of the run.
To load the details from a run, you can for instance do the following:
from datasets import load_dataset
data = load_dataset("Lansechen/details_Lansechen__Qwen2.5-3B-Distill-om220k-fem32768-batch32-epoch3-8192",
"results",
split="train")
Latest results
These are the latest results from run 2025-03-24T15:12:21.570975(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
{
"all": {
"extractive_match": 0.064,
"extractive_match_stderr": 0.010956646210971012
},
"custom|math_500|0": {
"extractive_match": 0.064,
"extractive_match_stderr": 0.010956646210971012
}
}
Dataset Details
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