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"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['A']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 0.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, so I've got this organic chemistry problem here. It looks a bit complicated, b(...TRUNCATED)
{'extracted_predictions': ['D', 'D'], 'extracted_golds': ['A', 'A']}
[0]
[]
"[[(151648, 198, 32313, 11, 773, 358, 2776, 3330, 518, 419, 17356, 29803, 3405, 911, 34948, 264, 709(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['D']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 0.0}
0
0
[0]
[]
"[(['<think>\\nOkay, so I\\'m looking at this organic chemistry question about naming a benzene ring(...TRUNCATED)
{'extracted_predictions': ['C', 'C'], 'extracted_golds': ['D', 'D']}
[0]
[]
"[[(151648, 198, 32313, 11, 358, 3003, 2684, 419, 30128, 29026, 3491, 311, 11625, 13, 6771, 752, 143(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['A']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 1.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, I've got this quantum mechanics problem to solve. Let me try to break it down (...TRUNCATED)
{'extracted_predictions': ['A', 'A'], 'extracted_golds': ['A', 'A']}
[0]
[]
"[[(151648, 198, 32313, 11, 1077, 752, 1744, 1526, 419, 3019, 553, 3019, 13, 2055, 11, 279, 3405, 37(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['A']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 1.0}
0
0
[0]
[]
"[(['<think>\\nOkay, let me think through this step by step. So, the question is about designing a m(...TRUNCATED)
{'extracted_predictions': ['A', 'A'], 'extracted_golds': ['A', 'A']}
[0]
[]
"[[(151648, 198, 32313, 11, 1077, 594, 21403, 419, 3491, 13, 1084, 594, 264, 2699, 16965, 448, 678, (...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['B']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 1.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, let's tackle this problem. It's a bit complicated with all these reactions and(...TRUNCATED)
{'extracted_predictions': ['B', 'B'], 'extracted_golds': ['B', 'B']}
[0]
[]
"[[(151648, 198, 32313, 11, 358, 2776, 4460, 311, 11625, 419, 17356, 29803, 3491, 13, 6771, 752, 134(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['C']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 0.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, I'm trying to solve this organic chemistry problem. Let me read through it aga(...TRUNCATED)
{'extracted_predictions': ['A', 'A'], 'extracted_golds': ['C', 'C']}
[0]
[]
"[[(151648, 198, 32313, 11, 358, 3003, 2684, 419, 3491, 1588, 11, 323, 358, 2776, 9966, 311, 7071, 7(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['C']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 0.0}
0
0
[0]
[]
"[(['<think>\\nOkay, I\\'ve got this problem here, and I\\'m supposed to figure out what the algorit(...TRUNCATED)
{'extracted_predictions': ['D', 'D'], 'extracted_golds': ['C', 'C']}
[0]
[]
"[[(151648, 198, 32313, 11, 773, 358, 2776, 4460, 311, 3535, 419, 910, 3298, 7806, 80, 3405, 13, 677(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['D']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 1.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, so I'm trying to understand this ChIP-seq question. Let's break it down. The q(...TRUNCATED)
{'extracted_predictions': ['D', 'D'], 'extracted_golds': ['D', 'D']}
[0]
[]
"[[(151648, 198, 32313, 11, 773, 358, 3003, 2684, 419, 15552, 8500, 304, 4065, 315, 752, 11, 323, 27(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['C']
[]
"[[3706, 6029, 1890, 32, 1890, 6029, 1706, 5049, 1162, 22254, 828, 22254, 1890, 32, 828, 21614, 7749(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 0.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, so I've got this DNA sequence in front of me, and the question is asking about(...TRUNCATED)
{'extracted_predictions': ['B', 'B'], 'extracted_golds': ['C', 'C']}
[0]
[]
"[[(151648, 198, 32313, 11, 773, 358, 3003, 2525, 3941, 419, 29803, 3491, 11, 323, 26044, 11, 432, 5(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
"<|begin▁of▁sentence|><|User|>Given the following question and four candidate answers (A(...TRUNCATED)
['C']
[]
"[[151646, 151646, 151644, 22043, 279, 2701, 3405, 323, 3040, 9144, 11253, 320, 32, 11, 425, 11, 356(...TRUNCATED)
"Given the following question and four candidate answers (A, B, C and D), choose the best answer.\n\(...TRUNCATED)
{'extractive_match': 1.0}
0
0
[0]
[]
"[([\"<think>\\nOkay, so I've come across this chemistry problem, and honestly, it's a bit tricky, b(...TRUNCATED)
{'extracted_predictions': ['C', 'C'], 'extracted_golds': ['C', 'C']}
[0]

Dataset Card for Evaluation run of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B

Dataset automatically created during the evaluation run of model deepseek-ai/DeepSeek-R1-Distill-Qwen-7B.

The dataset is composed of 1 configuration, each one coresponding to one of the evaluated task.

The dataset has been created from 2 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("lewtun/details_deepseek-ai__DeepSeek-R1-Distill-Qwen-7B",
    "results",
    split="train")

Latest results

These are the latest results from run 2025-02-05T14:49:38.490278(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": 0.45454545454545453,
        "extractive_match_stderr": 0.03547601494006936
    },
    "lighteval|gpqa:diamond|0": {
        "extractive_match": 0.45454545454545453,
        "extractive_match_stderr": 0.03547601494006936
    }
}

Dataset Details

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