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details_BEE-spoke-data__smol_llama-220M-GQA

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1
+ ---
2
+ pretty_name: Evaluation run of BEE-spoke-data/smol_llama-220M-GQA
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [BEE-spoke-data/smol_llama-220M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA)\
5
+ \ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
6
+ \nThe dataset is composed of 63 configuration, each one coresponding to one of the\
7
+ \ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
8
+ \ found as a specific split in each configuration, the split being named using the\
9
+ \ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
10
+ \nAn additional configuration \"results\" store all the aggregated results of the\
11
+ \ run (and is used to compute and display the aggregated metrics on the [Open LLM\
12
+ \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
13
+ \nTo load the details from a run, you can for instance do the following:\n```python\n\
14
+ from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_BEE-spoke-data__smol_llama-220M-GQA\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-23T17:30:41.856750](https://huggingface.co/datasets/open-llm-leaderboard/details_BEE-spoke-data__smol_llama-220M-GQA/blob/main/results_2023-12-23T17-30-41.856750.json)(note\
17
+ \ that their might be results for other tasks in the repos if successive evals didn't\
18
+ \ cover the same tasks. You find each in the results and the \"latest\" split for\
19
+ \ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.25795142962640294,\n\
20
+ \ \"acc_stderr\": 0.03080235085085749,\n \"acc_norm\": 0.25898812897491635,\n\
21
+ \ \"acc_norm_stderr\": 0.031585978490541275,\n \"mc1\": 0.2460220318237454,\n\
22
+ \ \"mc1_stderr\": 0.015077219200662588,\n \"mc2\": 0.44553738237393864,\n\
23
+ \ \"mc2_stderr\": 0.015343428436494402\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.2030716723549488,\n \"acc_stderr\": 0.011755899303705582,\n\
25
+ \ \"acc_norm\": 0.24829351535836178,\n \"acc_norm_stderr\": 0.012624912868089762\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.280920135431189,\n\
27
+ \ \"acc_stderr\": 0.004485300194072271,\n \"acc_norm\": 0.2976498705437164,\n\
28
+ \ \"acc_norm_stderr\": 0.004562902604938731\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.22,\n \"acc_stderr\": 0.04163331998932268,\n \
30
+ \ \"acc_norm\": 0.22,\n \"acc_norm_stderr\": 0.04163331998932268\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.18518518518518517,\n\
32
+ \ \"acc_stderr\": 0.03355677216313139,\n \"acc_norm\": 0.18518518518518517,\n\
33
+ \ \"acc_norm_stderr\": 0.03355677216313139\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.17105263157894737,\n \"acc_stderr\": 0.030643607071677088,\n\
35
+ \ \"acc_norm\": 0.17105263157894737,\n \"acc_norm_stderr\": 0.030643607071677088\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.23,\n\
37
+ \ \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.23,\n \
38
+ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.2943396226415094,\n \"acc_stderr\": 0.028049186315695248,\n\
40
+ \ \"acc_norm\": 0.2943396226415094,\n \"acc_norm_stderr\": 0.028049186315695248\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.20833333333333334,\n\
42
+ \ \"acc_stderr\": 0.033961162058453336,\n \"acc_norm\": 0.20833333333333334,\n\
43
+ \ \"acc_norm_stderr\": 0.033961162058453336\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036845,\n \
45
+ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036845\n },\n\
46
+ \ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.31,\n\
47
+ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
48
+ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
50
+ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2023121387283237,\n\
52
+ \ \"acc_stderr\": 0.03063114553919882,\n \"acc_norm\": 0.2023121387283237,\n\
53
+ \ \"acc_norm_stderr\": 0.03063114553919882\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.2549019607843137,\n \"acc_stderr\": 0.0433643270799318,\n\
55
+ \ \"acc_norm\": 0.2549019607843137,\n \"acc_norm_stderr\": 0.0433643270799318\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.27,\n \"acc_stderr\": 0.044619604333847415,\n \"acc_norm\": 0.27,\n\
58
+ \ \"acc_norm_stderr\": 0.044619604333847415\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.28085106382978725,\n \"acc_stderr\": 0.02937917046412482,\n\
60
+ \ \"acc_norm\": 0.28085106382978725,\n \"acc_norm_stderr\": 0.02937917046412482\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
62
+ \ \"acc_stderr\": 0.04049339297748141,\n \"acc_norm\": 0.24561403508771928,\n\
63
+ \ \"acc_norm_stderr\": 0.04049339297748141\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.19310344827586207,\n \"acc_stderr\": 0.032894455221273995,\n\
65
+ \ \"acc_norm\": 0.19310344827586207,\n \"acc_norm_stderr\": 0.032894455221273995\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.24867724867724866,\n \"acc_stderr\": 0.02226181769240017,\n \"\
68
+ acc_norm\": 0.24867724867724866,\n \"acc_norm_stderr\": 0.02226181769240017\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.24603174603174602,\n\
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+ \ \"acc_stderr\": 0.03852273364924315,\n \"acc_norm\": 0.24603174603174602,\n\
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+ \ \"acc_norm_stderr\": 0.03852273364924315\n },\n \"harness|hendrycksTest-global_facts|5\"\
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+ : {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
73
+ \ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
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+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.24838709677419354,\n\
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+ \ \"acc_stderr\": 0.024580028921481003,\n \"acc_norm\": 0.24838709677419354,\n\
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+ \ \"acc_norm_stderr\": 0.024580028921481003\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
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+ : {\n \"acc\": 0.270935960591133,\n \"acc_stderr\": 0.031270907132976984,\n\
78
+ \ \"acc_norm\": 0.270935960591133,\n \"acc_norm_stderr\": 0.031270907132976984\n\
79
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
80
+ \ \"acc\": 0.19,\n \"acc_stderr\": 0.03942772444036623,\n \"acc_norm\"\
81
+ : 0.19,\n \"acc_norm_stderr\": 0.03942772444036623\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
82
+ : {\n \"acc\": 0.21818181818181817,\n \"acc_stderr\": 0.03225078108306289,\n\
83
+ \ \"acc_norm\": 0.21818181818181817,\n \"acc_norm_stderr\": 0.03225078108306289\n\
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+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
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+ : 0.3181818181818182,\n \"acc_stderr\": 0.03318477333845331,\n \"\
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+ acc_norm\": 0.3181818181818182,\n \"acc_norm_stderr\": 0.03318477333845331\n\
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+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
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+ \ \"acc\": 0.3471502590673575,\n \"acc_stderr\": 0.034356961683613546,\n\
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+ \ \"acc_norm\": 0.3471502590673575,\n \"acc_norm_stderr\": 0.034356961683613546\n\
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+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
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+ \ \"acc\": 0.3282051282051282,\n \"acc_stderr\": 0.023807633198657262,\n\
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+ \ \"acc_norm\": 0.3282051282051282,\n \"acc_norm_stderr\": 0.023807633198657262\n\
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+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
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+ acc\": 0.27037037037037037,\n \"acc_stderr\": 0.027080372815145668,\n \
95
+ \ \"acc_norm\": 0.27037037037037037,\n \"acc_norm_stderr\": 0.027080372815145668\n\
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+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
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+ \ \"acc\": 0.3319327731092437,\n \"acc_stderr\": 0.030588697013783663,\n\
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+ \ \"acc_norm\": 0.3319327731092437,\n \"acc_norm_stderr\": 0.030588697013783663\n\
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+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
100
+ : 0.31125827814569534,\n \"acc_stderr\": 0.037804458505267334,\n \"\
101
+ acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.037804458505267334\n\
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+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
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+ : 0.3119266055045872,\n \"acc_stderr\": 0.019862967976707245,\n \"\
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+ acc_norm\": 0.3119266055045872,\n \"acc_norm_stderr\": 0.019862967976707245\n\
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+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
106
+ : 0.48148148148148145,\n \"acc_stderr\": 0.034076320938540516,\n \"\
107
+ acc_norm\": 0.48148148148148145,\n \"acc_norm_stderr\": 0.034076320938540516\n\
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+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
109
+ : 0.24509803921568626,\n \"acc_stderr\": 0.03019028245350195,\n \"\
110
+ acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.03019028245350195\n\
111
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
112
+ acc\": 0.2911392405063291,\n \"acc_stderr\": 0.02957160106575337,\n \
113
+ \ \"acc_norm\": 0.2911392405063291,\n \"acc_norm_stderr\": 0.02957160106575337\n\
114
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.17937219730941703,\n\
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+ \ \"acc_stderr\": 0.025749819569192783,\n \"acc_norm\": 0.17937219730941703,\n\
116
+ \ \"acc_norm_stderr\": 0.025749819569192783\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
117
+ : {\n \"acc\": 0.25190839694656486,\n \"acc_stderr\": 0.03807387116306086,\n\
118
+ \ \"acc_norm\": 0.25190839694656486,\n \"acc_norm_stderr\": 0.03807387116306086\n\
119
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
120
+ \ 0.2396694214876033,\n \"acc_stderr\": 0.03896878985070417,\n \"\
121
+ acc_norm\": 0.2396694214876033,\n \"acc_norm_stderr\": 0.03896878985070417\n\
122
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.23148148148148148,\n\
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+ \ \"acc_stderr\": 0.04077494709252626,\n \"acc_norm\": 0.23148148148148148,\n\
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+ \ \"acc_norm_stderr\": 0.04077494709252626\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
125
+ : {\n \"acc\": 0.2392638036809816,\n \"acc_stderr\": 0.033519538795212696,\n\
126
+ \ \"acc_norm\": 0.2392638036809816,\n \"acc_norm_stderr\": 0.033519538795212696\n\
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+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.26785714285714285,\n\
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+ \ \"acc_stderr\": 0.04203277291467764,\n \"acc_norm\": 0.26785714285714285,\n\
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+ \ \"acc_norm_stderr\": 0.04203277291467764\n },\n \"harness|hendrycksTest-management|5\"\
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+ : {\n \"acc\": 0.22330097087378642,\n \"acc_stderr\": 0.04123553189891431,\n\
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+ \ \"acc_norm\": 0.22330097087378642,\n \"acc_norm_stderr\": 0.04123553189891431\n\
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+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.19658119658119658,\n\
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+ \ \"acc_stderr\": 0.02603538609895129,\n \"acc_norm\": 0.19658119658119658,\n\
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+ \ \"acc_norm_stderr\": 0.02603538609895129\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
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+ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720684,\n \
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+ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720684\n \
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+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.20306513409961685,\n\
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+ \ \"acc_stderr\": 0.01438552507661158,\n \"acc_norm\": 0.20306513409961685,\n\
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+ \ \"acc_norm_stderr\": 0.01438552507661158\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
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+ : {\n \"acc\": 0.21965317919075145,\n \"acc_stderr\": 0.0222896388526179,\n\
141
+ \ \"acc_norm\": 0.21965317919075145,\n \"acc_norm_stderr\": 0.0222896388526179\n\
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+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n\
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+ \ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\
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+ \ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness|hendrycksTest-nutrition|5\"\
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+ : {\n \"acc\": 0.2647058823529412,\n \"acc_stderr\": 0.025261691219729487,\n\
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+ \ \"acc_norm\": 0.2647058823529412,\n \"acc_norm_stderr\": 0.025261691219729487\n\
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+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.21543408360128619,\n\
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+ \ \"acc_stderr\": 0.023350225475471414,\n \"acc_norm\": 0.21543408360128619,\n\
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+ \ \"acc_norm_stderr\": 0.023350225475471414\n },\n \"harness|hendrycksTest-prehistory|5\"\
150
+ : {\n \"acc\": 0.2191358024691358,\n \"acc_stderr\": 0.023016705640262203,\n\
151
+ \ \"acc_norm\": 0.2191358024691358,\n \"acc_norm_stderr\": 0.023016705640262203\n\
152
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
153
+ acc\": 0.2801418439716312,\n \"acc_stderr\": 0.026789172351140242,\n \
154
+ \ \"acc_norm\": 0.2801418439716312,\n \"acc_norm_stderr\": 0.026789172351140242\n\
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+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.24771838331160365,\n\
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+ \ \"acc_stderr\": 0.01102549929144374,\n \"acc_norm\": 0.24771838331160365,\n\
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+ \ \"acc_norm_stderr\": 0.01102549929144374\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
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+ : {\n \"acc\": 0.4485294117647059,\n \"acc_stderr\": 0.030211479609121593,\n\
159
+ \ \"acc_norm\": 0.4485294117647059,\n \"acc_norm_stderr\": 0.030211479609121593\n\
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+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
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+ acc\": 0.22549019607843138,\n \"acc_stderr\": 0.016906615927288135,\n \
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+ \ \"acc_norm\": 0.22549019607843138,\n \"acc_norm_stderr\": 0.016906615927288135\n\
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+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.21818181818181817,\n\
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+ \ \"acc_stderr\": 0.03955932861795833,\n \"acc_norm\": 0.21818181818181817,\n\
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+ \ \"acc_norm_stderr\": 0.03955932861795833\n },\n \"harness|hendrycksTest-security_studies|5\"\
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+ : {\n \"acc\": 0.39183673469387753,\n \"acc_stderr\": 0.03125127591089165,\n\
167
+ \ \"acc_norm\": 0.39183673469387753,\n \"acc_norm_stderr\": 0.03125127591089165\n\
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+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.23880597014925373,\n\
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+ \ \"acc_stderr\": 0.03014777593540922,\n \"acc_norm\": 0.23880597014925373,\n\
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+ \ \"acc_norm_stderr\": 0.03014777593540922\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909281,\n \
172
+ \ \"acc_norm\": 0.24,\n \"acc_norm_stderr\": 0.04292346959909281\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.22289156626506024,\n\
174
+ \ \"acc_stderr\": 0.03240004825594688,\n \"acc_norm\": 0.22289156626506024,\n\
175
+ \ \"acc_norm_stderr\": 0.03240004825594688\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.2222222222222222,\n \"acc_stderr\": 0.03188578017686398,\n\
177
+ \ \"acc_norm\": 0.2222222222222222,\n \"acc_norm_stderr\": 0.03188578017686398\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2460220318237454,\n\
179
+ \ \"mc1_stderr\": 0.015077219200662588,\n \"mc2\": 0.44553738237393864,\n\
180
+ \ \"mc2_stderr\": 0.015343428436494402\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.5098658247829518,\n \"acc_stderr\": 0.014049749833367585\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.006823351023502654,\n \
183
+ \ \"acc_stderr\": 0.0022675371022544723\n }\n}\n```"
184
+ repo_url: https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA
185
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
186
+ point_of_contact: clementine@hf.co
187
+ configs:
188
+ - config_name: harness_arc_challenge_25
189
+ data_files:
190
+ - split: 2023_12_23T17_30_41.856750
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2023-12-23T17-30-41.856750.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2023-12-23T17-30-41.856750.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2023_12_23T17_30_41.856750
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2023-12-23T17-30-41.856750.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2023-12-23T17-30-41.856750.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2023_12_23T17_30_41.856750
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2023-12-23T17-30-41.856750.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2023-12-23T17-30-41.856750.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2023_12_23T17_30_41.856750
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T17-30-41.856750.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T17-30-41.856750.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T17-30-41.856750.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T17-30-41.856750.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T17-30-41.856750.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T17-30-41.856750.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T17-30-41.856750.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T17-30-41.856750.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T17-30-41.856750.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T17-30-41.856750.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T17-30-41.856750.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T17-30-41.856750.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T17-30-41.856750.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T17-30-41.856750.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T17-30-41.856750.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T17-30-41.856750.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T17-30-41.856750.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T17-30-41.856750.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T17-30-41.856750.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T17-30-41.856750.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T17-30-41.856750.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T17-30-41.856750.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T17-30-41.856750.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T17-30-41.856750.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T17-30-41.856750.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T17-30-41.856750.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T17-30-41.856750.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T17-30-41.856750.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T17-30-41.856750.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T17-30-41.856750.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T17-30-41.856750.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T17-30-41.856750.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T17-30-41.856750.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T17-30-41.856750.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T17-30-41.856750.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T17-30-41.856750.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T17-30-41.856750.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T17-30-41.856750.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T17-30-41.856750.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T17-30-41.856750.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T17-30-41.856750.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T17-30-41.856750.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T17-30-41.856750.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T17-30-41.856750.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T17-30-41.856750.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T17-30-41.856750.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T17-30-41.856750.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T17-30-41.856750.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T17-30-41.856750.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T17-30-41.856750.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T17-30-41.856750.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T17-30-41.856750.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T17-30-41.856750.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T17-30-41.856750.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T17-30-41.856750.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T17-30-41.856750.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T17-30-41.856750.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T17-30-41.856750.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T17-30-41.856750.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T17-30-41.856750.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T17-30-41.856750.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T17-30-41.856750.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T17-30-41.856750.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T17-30-41.856750.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T17-30-41.856750.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T17-30-41.856750.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T17-30-41.856750.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T17-30-41.856750.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T17-30-41.856750.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T17-30-41.856750.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T17-30-41.856750.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T17-30-41.856750.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T17-30-41.856750.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T17-30-41.856750.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T17-30-41.856750.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T17-30-41.856750.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T17-30-41.856750.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T17-30-41.856750.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T17-30-41.856750.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T17-30-41.856750.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T17-30-41.856750.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T17-30-41.856750.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T17-30-41.856750.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T17-30-41.856750.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T17-30-41.856750.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T17-30-41.856750.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T17-30-41.856750.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T17-30-41.856750.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T17-30-41.856750.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T17-30-41.856750.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T17-30-41.856750.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T17-30-41.856750.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T17-30-41.856750.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T17-30-41.856750.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T17-30-41.856750.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T17-30-41.856750.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T17-30-41.856750.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T17-30-41.856750.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T17-30-41.856750.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T17-30-41.856750.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T17-30-41.856750.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T17-30-41.856750.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T17-30-41.856750.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T17-30-41.856750.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T17-30-41.856750.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T17-30-41.856750.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T17-30-41.856750.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T17-30-41.856750.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T17-30-41.856750.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T17-30-41.856750.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T17-30-41.856750.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T17-30-41.856750.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T17-30-41.856750.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T17-30-41.856750.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2023_12_23T17_30_41.856750
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T17-30-41.856750.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-23T17-30-41.856750.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2023_12_23T17_30_41.856750
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T17-30-41.856750.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-23T17-30-41.856750.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2023_12_23T17_30_41.856750
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T17-30-41.856750.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-23T17-30-41.856750.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2023_12_23T17_30_41.856750
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T17-30-41.856750.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-23T17-30-41.856750.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2023_12_23T17_30_41.856750
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T17-30-41.856750.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-23T17-30-41.856750.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2023_12_23T17_30_41.856750
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T17-30-41.856750.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-23T17-30-41.856750.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2023_12_23T17_30_41.856750
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T17-30-41.856750.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-23T17-30-41.856750.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2023_12_23T17_30_41.856750
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T17-30-41.856750.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-23T17-30-41.856750.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2023_12_23T17_30_41.856750
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T17-30-41.856750.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-23T17-30-41.856750.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2023_12_23T17_30_41.856750
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T17-30-41.856750.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-23T17-30-41.856750.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2023_12_23T17_30_41.856750
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T17-30-41.856750.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-23T17-30-41.856750.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2023_12_23T17_30_41.856750
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T17-30-41.856750.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-23T17-30-41.856750.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2023_12_23T17_30_41.856750
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T17-30-41.856750.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-23T17-30-41.856750.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2023_12_23T17_30_41.856750
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T17-30-41.856750.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-23T17-30-41.856750.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2023_12_23T17_30_41.856750
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T17-30-41.856750.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-23T17-30-41.856750.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2023_12_23T17_30_41.856750
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T17-30-41.856750.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-23T17-30-41.856750.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2023_12_23T17_30_41.856750
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T17-30-41.856750.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-23T17-30-41.856750.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2023_12_23T17_30_41.856750
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T17-30-41.856750.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-23T17-30-41.856750.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2023_12_23T17_30_41.856750
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T17-30-41.856750.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-23T17-30-41.856750.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2023_12_23T17_30_41.856750
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T17-30-41.856750.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-23T17-30-41.856750.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2023_12_23T17_30_41.856750
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T17-30-41.856750.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-23T17-30-41.856750.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2023_12_23T17_30_41.856750
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T17-30-41.856750.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-23T17-30-41.856750.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2023_12_23T17_30_41.856750
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T17-30-41.856750.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-23T17-30-41.856750.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2023_12_23T17_30_41.856750
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T17-30-41.856750.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-23T17-30-41.856750.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2023_12_23T17_30_41.856750
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T17-30-41.856750.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-23T17-30-41.856750.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2023_12_23T17_30_41.856750
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T17-30-41.856750.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-23T17-30-41.856750.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2023_12_23T17_30_41.856750
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T17-30-41.856750.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-23T17-30-41.856750.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2023_12_23T17_30_41.856750
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T17-30-41.856750.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-23T17-30-41.856750.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2023_12_23T17_30_41.856750
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T17-30-41.856750.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-23T17-30-41.856750.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2023_12_23T17_30_41.856750
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T17-30-41.856750.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-23T17-30-41.856750.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2023_12_23T17_30_41.856750
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T17-30-41.856750.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-23T17-30-41.856750.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2023_12_23T17_30_41.856750
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T17-30-41.856750.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-23T17-30-41.856750.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2023_12_23T17_30_41.856750
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T17-30-41.856750.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-23T17-30-41.856750.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2023_12_23T17_30_41.856750
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T17-30-41.856750.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-23T17-30-41.856750.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2023_12_23T17_30_41.856750
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T17-30-41.856750.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-23T17-30-41.856750.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2023_12_23T17_30_41.856750
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T17-30-41.856750.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-23T17-30-41.856750.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2023_12_23T17_30_41.856750
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T17-30-41.856750.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-23T17-30-41.856750.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2023_12_23T17_30_41.856750
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T17-30-41.856750.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-23T17-30-41.856750.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2023_12_23T17_30_41.856750
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T17-30-41.856750.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2023-12-23T17-30-41.856750.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2023_12_23T17_30_41.856750
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T17-30-41.856750.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-23T17-30-41.856750.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2023_12_23T17_30_41.856750
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T17-30-41.856750.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-23T17-30-41.856750.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2023_12_23T17_30_41.856750
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T17-30-41.856750.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-23T17-30-41.856750.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2023_12_23T17_30_41.856750
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T17-30-41.856750.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-23T17-30-41.856750.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2023_12_23T17_30_41.856750
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T17-30-41.856750.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-23T17-30-41.856750.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2023_12_23T17_30_41.856750
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T17-30-41.856750.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-23T17-30-41.856750.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2023_12_23T17_30_41.856750
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T17-30-41.856750.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-23T17-30-41.856750.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2023_12_23T17_30_41.856750
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T17-30-41.856750.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-23T17-30-41.856750.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2023_12_23T17_30_41.856750
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T17-30-41.856750.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-23T17-30-41.856750.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2023_12_23T17_30_41.856750
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T17-30-41.856750.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-23T17-30-41.856750.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2023_12_23T17_30_41.856750
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T17-30-41.856750.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-23T17-30-41.856750.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2023_12_23T17_30_41.856750
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T17-30-41.856750.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-23T17-30-41.856750.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2023_12_23T17_30_41.856750
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T17-30-41.856750.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-23T17-30-41.856750.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2023_12_23T17_30_41.856750
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T17-30-41.856750.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-23T17-30-41.856750.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2023_12_23T17_30_41.856750
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T17-30-41.856750.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-23T17-30-41.856750.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2023_12_23T17_30_41.856750
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T17-30-41.856750.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-23T17-30-41.856750.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2023_12_23T17_30_41.856750
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T17-30-41.856750.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-23T17-30-41.856750.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2023_12_23T17_30_41.856750
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T17-30-41.856750.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-23T17-30-41.856750.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2023_12_23T17_30_41.856750
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2023-12-23T17-30-41.856750.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2023-12-23T17-30-41.856750.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2023_12_23T17_30_41.856750
799
+ path:
800
+ - '**/details_harness|winogrande|5_2023-12-23T17-30-41.856750.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2023-12-23T17-30-41.856750.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2023_12_23T17_30_41.856750
807
+ path:
808
+ - results_2023-12-23T17-30-41.856750.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2023-12-23T17-30-41.856750.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of BEE-spoke-data/smol_llama-220M-GQA
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [BEE-spoke-data/smol_llama-220M-GQA](https://huggingface.co/BEE-spoke-data/smol_llama-220M-GQA) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
819
+
820
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
821
+
822
+ The dataset has been created from 1 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.
823
+
824
+ An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
825
+
826
+ To load the details from a run, you can for instance do the following:
827
+ ```python
828
+ from datasets import load_dataset
829
+ data = load_dataset("open-llm-leaderboard/details_BEE-spoke-data__smol_llama-220M-GQA",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2023-12-23T17:30:41.856750](https://huggingface.co/datasets/open-llm-leaderboard/details_BEE-spoke-data__smol_llama-220M-GQA/blob/main/results_2023-12-23T17-30-41.856750.json)(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):
837
+
838
+ ```python
839
+ {
840
+ "all": {
841
+ "acc": 0.25795142962640294,
842
+ "acc_stderr": 0.03080235085085749,
843
+ "acc_norm": 0.25898812897491635,
844
+ "acc_norm_stderr": 0.031585978490541275,
845
+ "mc1": 0.2460220318237454,
846
+ "mc1_stderr": 0.015077219200662588,
847
+ "mc2": 0.44553738237393864,
848
+ "mc2_stderr": 0.015343428436494402
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.2030716723549488,
852
+ "acc_stderr": 0.011755899303705582,
853
+ "acc_norm": 0.24829351535836178,
854
+ "acc_norm_stderr": 0.012624912868089762
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.280920135431189,
858
+ "acc_stderr": 0.004485300194072271,
859
+ "acc_norm": 0.2976498705437164,
860
+ "acc_norm_stderr": 0.004562902604938731
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.22,
864
+ "acc_stderr": 0.04163331998932268,
865
+ "acc_norm": 0.22,
866
+ "acc_norm_stderr": 0.04163331998932268
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.18518518518518517,
870
+ "acc_stderr": 0.03355677216313139,
871
+ "acc_norm": 0.18518518518518517,
872
+ "acc_norm_stderr": 0.03355677216313139
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.17105263157894737,
876
+ "acc_stderr": 0.030643607071677088,
877
+ "acc_norm": 0.17105263157894737,
878
+ "acc_norm_stderr": 0.030643607071677088
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.23,
882
+ "acc_stderr": 0.04229525846816505,
883
+ "acc_norm": 0.23,
884
+ "acc_norm_stderr": 0.04229525846816505
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.2943396226415094,
888
+ "acc_stderr": 0.028049186315695248,
889
+ "acc_norm": 0.2943396226415094,
890
+ "acc_norm_stderr": 0.028049186315695248
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.20833333333333334,
894
+ "acc_stderr": 0.033961162058453336,
895
+ "acc_norm": 0.20833333333333334,
896
+ "acc_norm_stderr": 0.033961162058453336
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.2,
900
+ "acc_stderr": 0.04020151261036845,
901
+ "acc_norm": 0.2,
902
+ "acc_norm_stderr": 0.04020151261036845
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.31,
906
+ "acc_stderr": 0.04648231987117316,
907
+ "acc_norm": 0.31,
908
+ "acc_norm_stderr": 0.04648231987117316
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.28,
912
+ "acc_stderr": 0.04512608598542128,
913
+ "acc_norm": 0.28,
914
+ "acc_norm_stderr": 0.04512608598542128
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.2023121387283237,
918
+ "acc_stderr": 0.03063114553919882,
919
+ "acc_norm": 0.2023121387283237,
920
+ "acc_norm_stderr": 0.03063114553919882
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.2549019607843137,
924
+ "acc_stderr": 0.0433643270799318,
925
+ "acc_norm": 0.2549019607843137,
926
+ "acc_norm_stderr": 0.0433643270799318
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.27,
930
+ "acc_stderr": 0.044619604333847415,
931
+ "acc_norm": 0.27,
932
+ "acc_norm_stderr": 0.044619604333847415
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.28085106382978725,
936
+ "acc_stderr": 0.02937917046412482,
937
+ "acc_norm": 0.28085106382978725,
938
+ "acc_norm_stderr": 0.02937917046412482
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.24561403508771928,
942
+ "acc_stderr": 0.04049339297748141,
943
+ "acc_norm": 0.24561403508771928,
944
+ "acc_norm_stderr": 0.04049339297748141
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.19310344827586207,
948
+ "acc_stderr": 0.032894455221273995,
949
+ "acc_norm": 0.19310344827586207,
950
+ "acc_norm_stderr": 0.032894455221273995
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.24867724867724866,
954
+ "acc_stderr": 0.02226181769240017,
955
+ "acc_norm": 0.24867724867724866,
956
+ "acc_norm_stderr": 0.02226181769240017
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.24603174603174602,
960
+ "acc_stderr": 0.03852273364924315,
961
+ "acc_norm": 0.24603174603174602,
962
+ "acc_norm_stderr": 0.03852273364924315
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.31,
966
+ "acc_stderr": 0.04648231987117316,
967
+ "acc_norm": 0.31,
968
+ "acc_norm_stderr": 0.04648231987117316
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.24838709677419354,
972
+ "acc_stderr": 0.024580028921481003,
973
+ "acc_norm": 0.24838709677419354,
974
+ "acc_norm_stderr": 0.024580028921481003
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.270935960591133,
978
+ "acc_stderr": 0.031270907132976984,
979
+ "acc_norm": 0.270935960591133,
980
+ "acc_norm_stderr": 0.031270907132976984
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.19,
984
+ "acc_stderr": 0.03942772444036623,
985
+ "acc_norm": 0.19,
986
+ "acc_norm_stderr": 0.03942772444036623
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.21818181818181817,
990
+ "acc_stderr": 0.03225078108306289,
991
+ "acc_norm": 0.21818181818181817,
992
+ "acc_norm_stderr": 0.03225078108306289
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.3181818181818182,
996
+ "acc_stderr": 0.03318477333845331,
997
+ "acc_norm": 0.3181818181818182,
998
+ "acc_norm_stderr": 0.03318477333845331
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.3471502590673575,
1002
+ "acc_stderr": 0.034356961683613546,
1003
+ "acc_norm": 0.3471502590673575,
1004
+ "acc_norm_stderr": 0.034356961683613546
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.3282051282051282,
1008
+ "acc_stderr": 0.023807633198657262,
1009
+ "acc_norm": 0.3282051282051282,
1010
+ "acc_norm_stderr": 0.023807633198657262
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.27037037037037037,
1014
+ "acc_stderr": 0.027080372815145668,
1015
+ "acc_norm": 0.27037037037037037,
1016
+ "acc_norm_stderr": 0.027080372815145668
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.3319327731092437,
1020
+ "acc_stderr": 0.030588697013783663,
1021
+ "acc_norm": 0.3319327731092437,
1022
+ "acc_norm_stderr": 0.030588697013783663
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.31125827814569534,
1026
+ "acc_stderr": 0.037804458505267334,
1027
+ "acc_norm": 0.31125827814569534,
1028
+ "acc_norm_stderr": 0.037804458505267334
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.3119266055045872,
1032
+ "acc_stderr": 0.019862967976707245,
1033
+ "acc_norm": 0.3119266055045872,
1034
+ "acc_norm_stderr": 0.019862967976707245
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.48148148148148145,
1038
+ "acc_stderr": 0.034076320938540516,
1039
+ "acc_norm": 0.48148148148148145,
1040
+ "acc_norm_stderr": 0.034076320938540516
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.24509803921568626,
1044
+ "acc_stderr": 0.03019028245350195,
1045
+ "acc_norm": 0.24509803921568626,
1046
+ "acc_norm_stderr": 0.03019028245350195
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.2911392405063291,
1050
+ "acc_stderr": 0.02957160106575337,
1051
+ "acc_norm": 0.2911392405063291,
1052
+ "acc_norm_stderr": 0.02957160106575337
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.17937219730941703,
1056
+ "acc_stderr": 0.025749819569192783,
1057
+ "acc_norm": 0.17937219730941703,
1058
+ "acc_norm_stderr": 0.025749819569192783
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.25190839694656486,
1062
+ "acc_stderr": 0.03807387116306086,
1063
+ "acc_norm": 0.25190839694656486,
1064
+ "acc_norm_stderr": 0.03807387116306086
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.2396694214876033,
1068
+ "acc_stderr": 0.03896878985070417,
1069
+ "acc_norm": 0.2396694214876033,
1070
+ "acc_norm_stderr": 0.03896878985070417
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.23148148148148148,
1074
+ "acc_stderr": 0.04077494709252626,
1075
+ "acc_norm": 0.23148148148148148,
1076
+ "acc_norm_stderr": 0.04077494709252626
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.2392638036809816,
1080
+ "acc_stderr": 0.033519538795212696,
1081
+ "acc_norm": 0.2392638036809816,
1082
+ "acc_norm_stderr": 0.033519538795212696
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.26785714285714285,
1086
+ "acc_stderr": 0.04203277291467764,
1087
+ "acc_norm": 0.26785714285714285,
1088
+ "acc_norm_stderr": 0.04203277291467764
1089
+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.22330097087378642,
1092
+ "acc_stderr": 0.04123553189891431,
1093
+ "acc_norm": 0.22330097087378642,
1094
+ "acc_norm_stderr": 0.04123553189891431
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.19658119658119658,
1098
+ "acc_stderr": 0.02603538609895129,
1099
+ "acc_norm": 0.19658119658119658,
1100
+ "acc_norm_stderr": 0.02603538609895129
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.29,
1104
+ "acc_stderr": 0.04560480215720684,
1105
+ "acc_norm": 0.29,
1106
+ "acc_norm_stderr": 0.04560480215720684
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.20306513409961685,
1110
+ "acc_stderr": 0.01438552507661158,
1111
+ "acc_norm": 0.20306513409961685,
1112
+ "acc_norm_stderr": 0.01438552507661158
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.21965317919075145,
1116
+ "acc_stderr": 0.0222896388526179,
1117
+ "acc_norm": 0.21965317919075145,
1118
+ "acc_norm_stderr": 0.0222896388526179
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.2424581005586592,
1122
+ "acc_stderr": 0.014333522059217889,
1123
+ "acc_norm": 0.2424581005586592,
1124
+ "acc_norm_stderr": 0.014333522059217889
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.2647058823529412,
1128
+ "acc_stderr": 0.025261691219729487,
1129
+ "acc_norm": 0.2647058823529412,
1130
+ "acc_norm_stderr": 0.025261691219729487
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.21543408360128619,
1134
+ "acc_stderr": 0.023350225475471414,
1135
+ "acc_norm": 0.21543408360128619,
1136
+ "acc_norm_stderr": 0.023350225475471414
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.2191358024691358,
1140
+ "acc_stderr": 0.023016705640262203,
1141
+ "acc_norm": 0.2191358024691358,
1142
+ "acc_norm_stderr": 0.023016705640262203
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.2801418439716312,
1146
+ "acc_stderr": 0.026789172351140242,
1147
+ "acc_norm": 0.2801418439716312,
1148
+ "acc_norm_stderr": 0.026789172351140242
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.24771838331160365,
1152
+ "acc_stderr": 0.01102549929144374,
1153
+ "acc_norm": 0.24771838331160365,
1154
+ "acc_norm_stderr": 0.01102549929144374
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.4485294117647059,
1158
+ "acc_stderr": 0.030211479609121593,
1159
+ "acc_norm": 0.4485294117647059,
1160
+ "acc_norm_stderr": 0.030211479609121593
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.22549019607843138,
1164
+ "acc_stderr": 0.016906615927288135,
1165
+ "acc_norm": 0.22549019607843138,
1166
+ "acc_norm_stderr": 0.016906615927288135
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.21818181818181817,
1170
+ "acc_stderr": 0.03955932861795833,
1171
+ "acc_norm": 0.21818181818181817,
1172
+ "acc_norm_stderr": 0.03955932861795833
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.39183673469387753,
1176
+ "acc_stderr": 0.03125127591089165,
1177
+ "acc_norm": 0.39183673469387753,
1178
+ "acc_norm_stderr": 0.03125127591089165
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.23880597014925373,
1182
+ "acc_stderr": 0.03014777593540922,
1183
+ "acc_norm": 0.23880597014925373,
1184
+ "acc_norm_stderr": 0.03014777593540922
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.24,
1188
+ "acc_stderr": 0.04292346959909281,
1189
+ "acc_norm": 0.24,
1190
+ "acc_norm_stderr": 0.04292346959909281
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.22289156626506024,
1194
+ "acc_stderr": 0.03240004825594688,
1195
+ "acc_norm": 0.22289156626506024,
1196
+ "acc_norm_stderr": 0.03240004825594688
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.2222222222222222,
1200
+ "acc_stderr": 0.03188578017686398,
1201
+ "acc_norm": 0.2222222222222222,
1202
+ "acc_norm_stderr": 0.03188578017686398
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.2460220318237454,
1206
+ "mc1_stderr": 0.015077219200662588,
1207
+ "mc2": 0.44553738237393864,
1208
+ "mc2_stderr": 0.015343428436494402
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.5098658247829518,
1212
+ "acc_stderr": 0.014049749833367585
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.006823351023502654,
1216
+ "acc_stderr": 0.0022675371022544723
1217
+ }
1218
+ }
1219
+ ```
1220
+
1221
+ ## Dataset Details
1222
+
1223
+ ### Dataset Description
1224
+
1225
+ <!-- Provide a longer summary of what this dataset is. -->
1226
+
1227
+
1228
+
1229
+ - **Curated by:** [More Information Needed]
1230
+ - **Funded by [optional]:** [More Information Needed]
1231
+ - **Shared by [optional]:** [More Information Needed]
1232
+ - **Language(s) (NLP):** [More Information Needed]
1233
+ - **License:** [More Information Needed]
1234
+
1235
+ ### Dataset Sources [optional]
1236
+
1237
+ <!-- Provide the basic links for the dataset. -->
1238
+
1239
+ - **Repository:** [More Information Needed]
1240
+ - **Paper [optional]:** [More Information Needed]
1241
+ - **Demo [optional]:** [More Information Needed]
1242
+
1243
+ ## Uses
1244
+
1245
+ <!-- Address questions around how the dataset is intended to be used. -->
1246
+
1247
+ ### Direct Use
1248
+
1249
+ <!-- This section describes suitable use cases for the dataset. -->
1250
+
1251
+ [More Information Needed]
1252
+
1253
+ ### Out-of-Scope Use
1254
+
1255
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1256
+
1257
+ [More Information Needed]
1258
+
1259
+ ## Dataset Structure
1260
+
1261
+ <!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
1262
+
1263
+ [More Information Needed]
1264
+
1265
+ ## Dataset Creation
1266
+
1267
+ ### Curation Rationale
1268
+
1269
+ <!-- Motivation for the creation of this dataset. -->
1270
+
1271
+ [More Information Needed]
1272
+
1273
+ ### Source Data
1274
+
1275
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1276
+
1277
+ #### Data Collection and Processing
1278
+
1279
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1280
+
1281
+ [More Information Needed]
1282
+
1283
+ #### Who are the source data producers?
1284
+
1285
+ <!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
1286
+
1287
+ [More Information Needed]
1288
+
1289
+ ### Annotations [optional]
1290
+
1291
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1292
+
1293
+ #### Annotation process
1294
+
1295
+ <!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
1296
+
1297
+ [More Information Needed]
1298
+
1299
+ #### Who are the annotators?
1300
+
1301
+ <!-- This section describes the people or systems who created the annotations. -->
1302
+
1303
+ [More Information Needed]
1304
+
1305
+ #### Personal and Sensitive Information
1306
+
1307
+ <!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
1308
+
1309
+ [More Information Needed]
1310
+
1311
+ ## Bias, Risks, and Limitations
1312
+
1313
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1314
+
1315
+ [More Information Needed]
1316
+
1317
+ ### Recommendations
1318
+
1319
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1320
+
1321
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1322
+
1323
+ ## Citation [optional]
1324
+
1325
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1326
+
1327
+ **BibTeX:**
1328
+
1329
+ [More Information Needed]
1330
+
1331
+ **APA:**
1332
+
1333
+ [More Information Needed]
1334
+
1335
+ ## Glossary [optional]
1336
+
1337
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1338
+
1339
+ [More Information Needed]
1340
+
1341
+ ## More Information [optional]
1342
+
1343
+ [More Information Needed]
1344
+
1345
+ ## Dataset Card Authors [optional]
1346
+
1347
+ [More Information Needed]
1348
+
1349
+ ## Dataset Card Contact
1350
+
1351
+ [More Information Needed]