Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_LeroyDyer__Mixtral_AI_128k_bioMedical

Dataset card Files Community
4
SaylorTwift HF staff commited on
Commit
537981d
•
1 Parent(s): 2bc4435

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1351 -0
README.md ADDED
@@ -0,0 +1,1351 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of LeroyDyer/Mixtral_AI_128k_bioMedical
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [LeroyDyer/Mixtral_AI_128k_bioMedical](https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical)\
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_LeroyDyer__Mixtral_AI_128k_bioMedical\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical/blob/main/results_2024-03-21T23-56-56.487650.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\": 0.6367474076439339,\n\
20
+ \ \"acc_stderr\": 0.03246872792369426,\n \"acc_norm\": 0.6403643412346053,\n\
21
+ \ \"acc_norm_stderr\": 0.033120361724452686,\n \"mc1\": 0.41982864137086906,\n\
22
+ \ \"mc1_stderr\": 0.01727703030177577,\n \"mc2\": 0.5868700278078715,\n\
23
+ \ \"mc2_stderr\": 0.015237473175431837\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.6126279863481229,\n \"acc_stderr\": 0.01423587248790987,\n\
25
+ \ \"acc_norm\": 0.6450511945392492,\n \"acc_norm_stderr\": 0.013983036904094089\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6662019518024298,\n\
27
+ \ \"acc_stderr\": 0.004706048116764943,\n \"acc_norm\": 0.8499302927703645,\n\
28
+ \ \"acc_norm_stderr\": 0.003564098420387777\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
30
+ \ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6222222222222222,\n\
32
+ \ \"acc_stderr\": 0.04188307537595852,\n \"acc_norm\": 0.6222222222222222,\n\
33
+ \ \"acc_norm_stderr\": 0.04188307537595852\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.6776315789473685,\n \"acc_stderr\": 0.03803510248351585,\n\
35
+ \ \"acc_norm\": 0.6776315789473685,\n \"acc_norm_stderr\": 0.03803510248351585\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.58,\n\
37
+ \ \"acc_stderr\": 0.049604496374885836,\n \"acc_norm\": 0.58,\n \
38
+ \ \"acc_norm_stderr\": 0.049604496374885836\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.6943396226415094,\n \"acc_stderr\": 0.028353298073322666,\n\
40
+ \ \"acc_norm\": 0.6943396226415094,\n \"acc_norm_stderr\": 0.028353298073322666\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7361111111111112,\n\
42
+ \ \"acc_stderr\": 0.03685651095897532,\n \"acc_norm\": 0.7361111111111112,\n\
43
+ \ \"acc_norm_stderr\": 0.03685651095897532\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \
45
+ \ \"acc_norm\": 0.48,\n \"acc_norm_stderr\": 0.050211673156867795\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
47
+ acc\": 0.5,\n \"acc_stderr\": 0.050251890762960605,\n \"acc_norm\"\
48
+ : 0.5,\n \"acc_norm_stderr\": 0.050251890762960605\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \
50
+ \ \"acc_norm\": 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6473988439306358,\n\
52
+ \ \"acc_stderr\": 0.036430371689585475,\n \"acc_norm\": 0.6473988439306358,\n\
53
+ \ \"acc_norm_stderr\": 0.036430371689585475\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.04784060704105654,\n\
55
+ \ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.04784060704105654\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\
58
+ \ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.5531914893617021,\n \"acc_stderr\": 0.0325005368436584,\n\
60
+ \ \"acc_norm\": 0.5531914893617021,\n \"acc_norm_stderr\": 0.0325005368436584\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5,\n\
62
+ \ \"acc_stderr\": 0.047036043419179864,\n \"acc_norm\": 0.5,\n \
63
+ \ \"acc_norm_stderr\": 0.047036043419179864\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.5241379310344828,\n \"acc_stderr\": 0.04161808503501531,\n\
65
+ \ \"acc_norm\": 0.5241379310344828,\n \"acc_norm_stderr\": 0.04161808503501531\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.4021164021164021,\n \"acc_stderr\": 0.025253032554997692,\n \"\
68
+ acc_norm\": 0.4021164021164021,\n \"acc_norm_stderr\": 0.025253032554997692\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4444444444444444,\n\
70
+ \ \"acc_stderr\": 0.044444444444444495,\n \"acc_norm\": 0.4444444444444444,\n\
71
+ \ \"acc_norm_stderr\": 0.044444444444444495\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
73
+ \ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
75
+ : 0.7645161290322581,\n \"acc_stderr\": 0.024137632429337714,\n \"\
76
+ acc_norm\": 0.7645161290322581,\n \"acc_norm_stderr\": 0.024137632429337714\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
78
+ : 0.5172413793103449,\n \"acc_stderr\": 0.035158955511656986,\n \"\
79
+ acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.035158955511656986\n\
80
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
81
+ \ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
82
+ : 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
83
+ : {\n \"acc\": 0.7393939393939394,\n \"acc_stderr\": 0.034277431758165236,\n\
84
+ \ \"acc_norm\": 0.7393939393939394,\n \"acc_norm_stderr\": 0.034277431758165236\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
86
+ : 0.7676767676767676,\n \"acc_stderr\": 0.030088629490217487,\n \"\
87
+ acc_norm\": 0.7676767676767676,\n \"acc_norm_stderr\": 0.030088629490217487\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
89
+ \ \"acc\": 0.8704663212435233,\n \"acc_stderr\": 0.024233532297758723,\n\
90
+ \ \"acc_norm\": 0.8704663212435233,\n \"acc_norm_stderr\": 0.024233532297758723\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
92
+ \ \"acc\": 0.6564102564102564,\n \"acc_stderr\": 0.024078696580635477,\n\
93
+ \ \"acc_norm\": 0.6564102564102564,\n \"acc_norm_stderr\": 0.024078696580635477\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
95
+ acc\": 0.37777777777777777,\n \"acc_stderr\": 0.029560707392465715,\n \
96
+ \ \"acc_norm\": 0.37777777777777777,\n \"acc_norm_stderr\": 0.029560707392465715\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
98
+ \ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.03006676158297794,\n \
99
+ \ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.03006676158297794\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
101
+ : 0.3576158940397351,\n \"acc_stderr\": 0.03913453431177258,\n \"\
102
+ acc_norm\": 0.3576158940397351,\n \"acc_norm_stderr\": 0.03913453431177258\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
104
+ : 0.8091743119266055,\n \"acc_stderr\": 0.016847676400091098,\n \"\
105
+ acc_norm\": 0.8091743119266055,\n \"acc_norm_stderr\": 0.016847676400091098\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
107
+ : 0.5277777777777778,\n \"acc_stderr\": 0.0340470532865388,\n \"acc_norm\"\
108
+ : 0.5277777777777778,\n \"acc_norm_stderr\": 0.0340470532865388\n },\n\
109
+ \ \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\": 0.7941176470588235,\n\
110
+ \ \"acc_stderr\": 0.028379449451588667,\n \"acc_norm\": 0.7941176470588235,\n\
111
+ \ \"acc_norm_stderr\": 0.028379449451588667\n },\n \"harness|hendrycksTest-high_school_world_history|5\"\
112
+ : {\n \"acc\": 0.7848101265822784,\n \"acc_stderr\": 0.02675082699467617,\n\
113
+ \ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.02675082699467617\n\
114
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6636771300448431,\n\
115
+ \ \"acc_stderr\": 0.031708824268455005,\n \"acc_norm\": 0.6636771300448431,\n\
116
+ \ \"acc_norm_stderr\": 0.031708824268455005\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
117
+ : {\n \"acc\": 0.7480916030534351,\n \"acc_stderr\": 0.03807387116306085,\n\
118
+ \ \"acc_norm\": 0.7480916030534351,\n \"acc_norm_stderr\": 0.03807387116306085\n\
119
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
120
+ \ 0.7933884297520661,\n \"acc_stderr\": 0.03695980128098823,\n \"\
121
+ acc_norm\": 0.7933884297520661,\n \"acc_norm_stderr\": 0.03695980128098823\n\
122
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7407407407407407,\n\
123
+ \ \"acc_stderr\": 0.04236511258094633,\n \"acc_norm\": 0.7407407407407407,\n\
124
+ \ \"acc_norm_stderr\": 0.04236511258094633\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
125
+ : {\n \"acc\": 0.7668711656441718,\n \"acc_stderr\": 0.0332201579577674,\n\
126
+ \ \"acc_norm\": 0.7668711656441718,\n \"acc_norm_stderr\": 0.0332201579577674\n\
127
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5089285714285714,\n\
128
+ \ \"acc_stderr\": 0.04745033255489123,\n \"acc_norm\": 0.5089285714285714,\n\
129
+ \ \"acc_norm_stderr\": 0.04745033255489123\n },\n \"harness|hendrycksTest-management|5\"\
130
+ : {\n \"acc\": 0.7475728155339806,\n \"acc_stderr\": 0.04301250399690878,\n\
131
+ \ \"acc_norm\": 0.7475728155339806,\n \"acc_norm_stderr\": 0.04301250399690878\n\
132
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8547008547008547,\n\
133
+ \ \"acc_stderr\": 0.023086635086841407,\n \"acc_norm\": 0.8547008547008547,\n\
134
+ \ \"acc_norm_stderr\": 0.023086635086841407\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
135
+ : {\n \"acc\": 0.74,\n \"acc_stderr\": 0.04408440022768079,\n \
136
+ \ \"acc_norm\": 0.74,\n \"acc_norm_stderr\": 0.04408440022768079\n \
137
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8084291187739464,\n\
138
+ \ \"acc_stderr\": 0.014072859310451949,\n \"acc_norm\": 0.8084291187739464,\n\
139
+ \ \"acc_norm_stderr\": 0.014072859310451949\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
140
+ : {\n \"acc\": 0.7023121387283237,\n \"acc_stderr\": 0.024617055388677006,\n\
141
+ \ \"acc_norm\": 0.7023121387283237,\n \"acc_norm_stderr\": 0.024617055388677006\n\
142
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.39217877094972065,\n\
143
+ \ \"acc_stderr\": 0.01632906107320745,\n \"acc_norm\": 0.39217877094972065,\n\
144
+ \ \"acc_norm_stderr\": 0.01632906107320745\n },\n \"harness|hendrycksTest-nutrition|5\"\
145
+ : {\n \"acc\": 0.7320261437908496,\n \"acc_stderr\": 0.025360603796242557,\n\
146
+ \ \"acc_norm\": 0.7320261437908496,\n \"acc_norm_stderr\": 0.025360603796242557\n\
147
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\
148
+ \ \"acc_stderr\": 0.02623696588115326,\n \"acc_norm\": 0.6913183279742765,\n\
149
+ \ \"acc_norm_stderr\": 0.02623696588115326\n },\n \"harness|hendrycksTest-prehistory|5\"\
150
+ : {\n \"acc\": 0.7067901234567902,\n \"acc_stderr\": 0.025329888171900926,\n\
151
+ \ \"acc_norm\": 0.7067901234567902,\n \"acc_norm_stderr\": 0.025329888171900926\n\
152
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
153
+ acc\": 0.48226950354609927,\n \"acc_stderr\": 0.02980873964223777,\n \
154
+ \ \"acc_norm\": 0.48226950354609927,\n \"acc_norm_stderr\": 0.02980873964223777\n\
155
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.46479791395045633,\n\
156
+ \ \"acc_stderr\": 0.012738547371303952,\n \"acc_norm\": 0.46479791395045633,\n\
157
+ \ \"acc_norm_stderr\": 0.012738547371303952\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
158
+ : {\n \"acc\": 0.6654411764705882,\n \"acc_stderr\": 0.028661996202335307,\n\
159
+ \ \"acc_norm\": 0.6654411764705882,\n \"acc_norm_stderr\": 0.028661996202335307\n\
160
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
161
+ acc\": 0.6503267973856209,\n \"acc_stderr\": 0.019291961895066375,\n \
162
+ \ \"acc_norm\": 0.6503267973856209,\n \"acc_norm_stderr\": 0.019291961895066375\n\
163
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6818181818181818,\n\
164
+ \ \"acc_stderr\": 0.04461272175910509,\n \"acc_norm\": 0.6818181818181818,\n\
165
+ \ \"acc_norm_stderr\": 0.04461272175910509\n },\n \"harness|hendrycksTest-security_studies|5\"\
166
+ : {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.02879518557429129,\n\
167
+ \ \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.02879518557429129\n\
168
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\
169
+ \ \"acc_stderr\": 0.02484575321230604,\n \"acc_norm\": 0.8557213930348259,\n\
170
+ \ \"acc_norm_stderr\": 0.02484575321230604\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
171
+ : {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352202,\n \
172
+ \ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352202\n \
173
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5240963855421686,\n\
174
+ \ \"acc_stderr\": 0.03887971849597264,\n \"acc_norm\": 0.5240963855421686,\n\
175
+ \ \"acc_norm_stderr\": 0.03887971849597264\n },\n \"harness|hendrycksTest-world_religions|5\"\
176
+ : {\n \"acc\": 0.8362573099415205,\n \"acc_stderr\": 0.028380919596145866,\n\
177
+ \ \"acc_norm\": 0.8362573099415205,\n \"acc_norm_stderr\": 0.028380919596145866\n\
178
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.41982864137086906,\n\
179
+ \ \"mc1_stderr\": 0.01727703030177577,\n \"mc2\": 0.5868700278078715,\n\
180
+ \ \"mc2_stderr\": 0.015237473175431837\n },\n \"harness|winogrande|5\"\
181
+ : {\n \"acc\": 0.7955801104972375,\n \"acc_stderr\": 0.011334090612597198\n\
182
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.4806671721000758,\n \
183
+ \ \"acc_stderr\": 0.013762185709851353\n }\n}\n```"
184
+ repo_url: https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical
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: 2024_03_21T23_56_56.487650
191
+ path:
192
+ - '**/details_harness|arc:challenge|25_2024-03-21T23-56-56.487650.parquet'
193
+ - split: latest
194
+ path:
195
+ - '**/details_harness|arc:challenge|25_2024-03-21T23-56-56.487650.parquet'
196
+ - config_name: harness_gsm8k_5
197
+ data_files:
198
+ - split: 2024_03_21T23_56_56.487650
199
+ path:
200
+ - '**/details_harness|gsm8k|5_2024-03-21T23-56-56.487650.parquet'
201
+ - split: latest
202
+ path:
203
+ - '**/details_harness|gsm8k|5_2024-03-21T23-56-56.487650.parquet'
204
+ - config_name: harness_hellaswag_10
205
+ data_files:
206
+ - split: 2024_03_21T23_56_56.487650
207
+ path:
208
+ - '**/details_harness|hellaswag|10_2024-03-21T23-56-56.487650.parquet'
209
+ - split: latest
210
+ path:
211
+ - '**/details_harness|hellaswag|10_2024-03-21T23-56-56.487650.parquet'
212
+ - config_name: harness_hendrycksTest_5
213
+ data_files:
214
+ - split: 2024_03_21T23_56_56.487650
215
+ path:
216
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-21T23-56-56.487650.parquet'
217
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-21T23-56-56.487650.parquet'
218
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-21T23-56-56.487650.parquet'
219
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-21T23-56-56.487650.parquet'
220
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-21T23-56-56.487650.parquet'
221
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-21T23-56-56.487650.parquet'
222
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-21T23-56-56.487650.parquet'
223
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-21T23-56-56.487650.parquet'
224
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-21T23-56-56.487650.parquet'
225
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-21T23-56-56.487650.parquet'
226
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-21T23-56-56.487650.parquet'
227
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-21T23-56-56.487650.parquet'
228
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-21T23-56-56.487650.parquet'
229
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-21T23-56-56.487650.parquet'
230
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-21T23-56-56.487650.parquet'
231
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-21T23-56-56.487650.parquet'
232
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-21T23-56-56.487650.parquet'
233
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-21T23-56-56.487650.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-21T23-56-56.487650.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-21T23-56-56.487650.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-21T23-56-56.487650.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-21T23-56-56.487650.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-21T23-56-56.487650.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-21T23-56-56.487650.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-21T23-56-56.487650.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-21T23-56-56.487650.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-21T23-56-56.487650.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-21T23-56-56.487650.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-21T23-56-56.487650.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-21T23-56-56.487650.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-21T23-56-56.487650.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-21T23-56-56.487650.parquet'
248
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-21T23-56-56.487650.parquet'
249
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-21T23-56-56.487650.parquet'
250
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-21T23-56-56.487650.parquet'
251
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-21T23-56-56.487650.parquet'
252
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-21T23-56-56.487650.parquet'
253
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-21T23-56-56.487650.parquet'
254
+ - '**/details_harness|hendrycksTest-management|5_2024-03-21T23-56-56.487650.parquet'
255
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-21T23-56-56.487650.parquet'
256
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-21T23-56-56.487650.parquet'
257
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-21T23-56-56.487650.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-21T23-56-56.487650.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-21T23-56-56.487650.parquet'
260
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-21T23-56-56.487650.parquet'
261
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-21T23-56-56.487650.parquet'
262
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-21T23-56-56.487650.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-21T23-56-56.487650.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-21T23-56-56.487650.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-21T23-56-56.487650.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-21T23-56-56.487650.parquet'
267
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-21T23-56-56.487650.parquet'
268
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-21T23-56-56.487650.parquet'
269
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-21T23-56-56.487650.parquet'
270
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-21T23-56-56.487650.parquet'
271
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-21T23-56-56.487650.parquet'
272
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-21T23-56-56.487650.parquet'
273
+ - split: latest
274
+ path:
275
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-21T23-56-56.487650.parquet'
276
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-21T23-56-56.487650.parquet'
277
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-21T23-56-56.487650.parquet'
278
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-21T23-56-56.487650.parquet'
279
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-21T23-56-56.487650.parquet'
280
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-21T23-56-56.487650.parquet'
281
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-21T23-56-56.487650.parquet'
282
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-21T23-56-56.487650.parquet'
283
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-21T23-56-56.487650.parquet'
284
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-21T23-56-56.487650.parquet'
285
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-21T23-56-56.487650.parquet'
286
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-21T23-56-56.487650.parquet'
287
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-21T23-56-56.487650.parquet'
288
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-21T23-56-56.487650.parquet'
289
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-21T23-56-56.487650.parquet'
290
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-21T23-56-56.487650.parquet'
291
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-21T23-56-56.487650.parquet'
292
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-21T23-56-56.487650.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-21T23-56-56.487650.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-21T23-56-56.487650.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-21T23-56-56.487650.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-21T23-56-56.487650.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-21T23-56-56.487650.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-21T23-56-56.487650.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-21T23-56-56.487650.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-21T23-56-56.487650.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-21T23-56-56.487650.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-21T23-56-56.487650.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-21T23-56-56.487650.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-21T23-56-56.487650.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-21T23-56-56.487650.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-21T23-56-56.487650.parquet'
307
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-21T23-56-56.487650.parquet'
308
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-21T23-56-56.487650.parquet'
309
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-21T23-56-56.487650.parquet'
310
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-21T23-56-56.487650.parquet'
311
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-21T23-56-56.487650.parquet'
312
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-21T23-56-56.487650.parquet'
313
+ - '**/details_harness|hendrycksTest-management|5_2024-03-21T23-56-56.487650.parquet'
314
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-21T23-56-56.487650.parquet'
315
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-21T23-56-56.487650.parquet'
316
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-21T23-56-56.487650.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-21T23-56-56.487650.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-21T23-56-56.487650.parquet'
319
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-21T23-56-56.487650.parquet'
320
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-21T23-56-56.487650.parquet'
321
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-21T23-56-56.487650.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-21T23-56-56.487650.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-21T23-56-56.487650.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-21T23-56-56.487650.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-21T23-56-56.487650.parquet'
326
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-21T23-56-56.487650.parquet'
327
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-21T23-56-56.487650.parquet'
328
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-21T23-56-56.487650.parquet'
329
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-21T23-56-56.487650.parquet'
330
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-21T23-56-56.487650.parquet'
331
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-21T23-56-56.487650.parquet'
332
+ - config_name: harness_hendrycksTest_abstract_algebra_5
333
+ data_files:
334
+ - split: 2024_03_21T23_56_56.487650
335
+ path:
336
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-21T23-56-56.487650.parquet'
337
+ - split: latest
338
+ path:
339
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-21T23-56-56.487650.parquet'
340
+ - config_name: harness_hendrycksTest_anatomy_5
341
+ data_files:
342
+ - split: 2024_03_21T23_56_56.487650
343
+ path:
344
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-21T23-56-56.487650.parquet'
345
+ - split: latest
346
+ path:
347
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-21T23-56-56.487650.parquet'
348
+ - config_name: harness_hendrycksTest_astronomy_5
349
+ data_files:
350
+ - split: 2024_03_21T23_56_56.487650
351
+ path:
352
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-21T23-56-56.487650.parquet'
353
+ - split: latest
354
+ path:
355
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-21T23-56-56.487650.parquet'
356
+ - config_name: harness_hendrycksTest_business_ethics_5
357
+ data_files:
358
+ - split: 2024_03_21T23_56_56.487650
359
+ path:
360
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-21T23-56-56.487650.parquet'
361
+ - split: latest
362
+ path:
363
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-21T23-56-56.487650.parquet'
364
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
365
+ data_files:
366
+ - split: 2024_03_21T23_56_56.487650
367
+ path:
368
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-21T23-56-56.487650.parquet'
369
+ - split: latest
370
+ path:
371
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-21T23-56-56.487650.parquet'
372
+ - config_name: harness_hendrycksTest_college_biology_5
373
+ data_files:
374
+ - split: 2024_03_21T23_56_56.487650
375
+ path:
376
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-21T23-56-56.487650.parquet'
377
+ - split: latest
378
+ path:
379
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-21T23-56-56.487650.parquet'
380
+ - config_name: harness_hendrycksTest_college_chemistry_5
381
+ data_files:
382
+ - split: 2024_03_21T23_56_56.487650
383
+ path:
384
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-21T23-56-56.487650.parquet'
385
+ - split: latest
386
+ path:
387
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-21T23-56-56.487650.parquet'
388
+ - config_name: harness_hendrycksTest_college_computer_science_5
389
+ data_files:
390
+ - split: 2024_03_21T23_56_56.487650
391
+ path:
392
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-21T23-56-56.487650.parquet'
393
+ - split: latest
394
+ path:
395
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-21T23-56-56.487650.parquet'
396
+ - config_name: harness_hendrycksTest_college_mathematics_5
397
+ data_files:
398
+ - split: 2024_03_21T23_56_56.487650
399
+ path:
400
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-21T23-56-56.487650.parquet'
401
+ - split: latest
402
+ path:
403
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-21T23-56-56.487650.parquet'
404
+ - config_name: harness_hendrycksTest_college_medicine_5
405
+ data_files:
406
+ - split: 2024_03_21T23_56_56.487650
407
+ path:
408
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-21T23-56-56.487650.parquet'
409
+ - split: latest
410
+ path:
411
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-21T23-56-56.487650.parquet'
412
+ - config_name: harness_hendrycksTest_college_physics_5
413
+ data_files:
414
+ - split: 2024_03_21T23_56_56.487650
415
+ path:
416
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-21T23-56-56.487650.parquet'
417
+ - split: latest
418
+ path:
419
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-21T23-56-56.487650.parquet'
420
+ - config_name: harness_hendrycksTest_computer_security_5
421
+ data_files:
422
+ - split: 2024_03_21T23_56_56.487650
423
+ path:
424
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-21T23-56-56.487650.parquet'
425
+ - split: latest
426
+ path:
427
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-21T23-56-56.487650.parquet'
428
+ - config_name: harness_hendrycksTest_conceptual_physics_5
429
+ data_files:
430
+ - split: 2024_03_21T23_56_56.487650
431
+ path:
432
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-21T23-56-56.487650.parquet'
433
+ - split: latest
434
+ path:
435
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-21T23-56-56.487650.parquet'
436
+ - config_name: harness_hendrycksTest_econometrics_5
437
+ data_files:
438
+ - split: 2024_03_21T23_56_56.487650
439
+ path:
440
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-21T23-56-56.487650.parquet'
441
+ - split: latest
442
+ path:
443
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-21T23-56-56.487650.parquet'
444
+ - config_name: harness_hendrycksTest_electrical_engineering_5
445
+ data_files:
446
+ - split: 2024_03_21T23_56_56.487650
447
+ path:
448
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-21T23-56-56.487650.parquet'
449
+ - split: latest
450
+ path:
451
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-21T23-56-56.487650.parquet'
452
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
453
+ data_files:
454
+ - split: 2024_03_21T23_56_56.487650
455
+ path:
456
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-21T23-56-56.487650.parquet'
457
+ - split: latest
458
+ path:
459
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-21T23-56-56.487650.parquet'
460
+ - config_name: harness_hendrycksTest_formal_logic_5
461
+ data_files:
462
+ - split: 2024_03_21T23_56_56.487650
463
+ path:
464
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-21T23-56-56.487650.parquet'
465
+ - split: latest
466
+ path:
467
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-21T23-56-56.487650.parquet'
468
+ - config_name: harness_hendrycksTest_global_facts_5
469
+ data_files:
470
+ - split: 2024_03_21T23_56_56.487650
471
+ path:
472
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-21T23-56-56.487650.parquet'
473
+ - split: latest
474
+ path:
475
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-21T23-56-56.487650.parquet'
476
+ - config_name: harness_hendrycksTest_high_school_biology_5
477
+ data_files:
478
+ - split: 2024_03_21T23_56_56.487650
479
+ path:
480
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-21T23-56-56.487650.parquet'
481
+ - split: latest
482
+ path:
483
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-21T23-56-56.487650.parquet'
484
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
485
+ data_files:
486
+ - split: 2024_03_21T23_56_56.487650
487
+ path:
488
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-21T23-56-56.487650.parquet'
489
+ - split: latest
490
+ path:
491
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-21T23-56-56.487650.parquet'
492
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
493
+ data_files:
494
+ - split: 2024_03_21T23_56_56.487650
495
+ path:
496
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-21T23-56-56.487650.parquet'
497
+ - split: latest
498
+ path:
499
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-21T23-56-56.487650.parquet'
500
+ - config_name: harness_hendrycksTest_high_school_european_history_5
501
+ data_files:
502
+ - split: 2024_03_21T23_56_56.487650
503
+ path:
504
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-21T23-56-56.487650.parquet'
505
+ - split: latest
506
+ path:
507
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-21T23-56-56.487650.parquet'
508
+ - config_name: harness_hendrycksTest_high_school_geography_5
509
+ data_files:
510
+ - split: 2024_03_21T23_56_56.487650
511
+ path:
512
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-21T23-56-56.487650.parquet'
513
+ - split: latest
514
+ path:
515
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-21T23-56-56.487650.parquet'
516
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
517
+ data_files:
518
+ - split: 2024_03_21T23_56_56.487650
519
+ path:
520
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-21T23-56-56.487650.parquet'
521
+ - split: latest
522
+ path:
523
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-21T23-56-56.487650.parquet'
524
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
525
+ data_files:
526
+ - split: 2024_03_21T23_56_56.487650
527
+ path:
528
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-21T23-56-56.487650.parquet'
529
+ - split: latest
530
+ path:
531
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-21T23-56-56.487650.parquet'
532
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
533
+ data_files:
534
+ - split: 2024_03_21T23_56_56.487650
535
+ path:
536
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-21T23-56-56.487650.parquet'
537
+ - split: latest
538
+ path:
539
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-21T23-56-56.487650.parquet'
540
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
541
+ data_files:
542
+ - split: 2024_03_21T23_56_56.487650
543
+ path:
544
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-21T23-56-56.487650.parquet'
545
+ - split: latest
546
+ path:
547
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-21T23-56-56.487650.parquet'
548
+ - config_name: harness_hendrycksTest_high_school_physics_5
549
+ data_files:
550
+ - split: 2024_03_21T23_56_56.487650
551
+ path:
552
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-21T23-56-56.487650.parquet'
553
+ - split: latest
554
+ path:
555
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-21T23-56-56.487650.parquet'
556
+ - config_name: harness_hendrycksTest_high_school_psychology_5
557
+ data_files:
558
+ - split: 2024_03_21T23_56_56.487650
559
+ path:
560
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-21T23-56-56.487650.parquet'
561
+ - split: latest
562
+ path:
563
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-21T23-56-56.487650.parquet'
564
+ - config_name: harness_hendrycksTest_high_school_statistics_5
565
+ data_files:
566
+ - split: 2024_03_21T23_56_56.487650
567
+ path:
568
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-21T23-56-56.487650.parquet'
569
+ - split: latest
570
+ path:
571
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-21T23-56-56.487650.parquet'
572
+ - config_name: harness_hendrycksTest_high_school_us_history_5
573
+ data_files:
574
+ - split: 2024_03_21T23_56_56.487650
575
+ path:
576
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-21T23-56-56.487650.parquet'
577
+ - split: latest
578
+ path:
579
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-21T23-56-56.487650.parquet'
580
+ - config_name: harness_hendrycksTest_high_school_world_history_5
581
+ data_files:
582
+ - split: 2024_03_21T23_56_56.487650
583
+ path:
584
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-21T23-56-56.487650.parquet'
585
+ - split: latest
586
+ path:
587
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-21T23-56-56.487650.parquet'
588
+ - config_name: harness_hendrycksTest_human_aging_5
589
+ data_files:
590
+ - split: 2024_03_21T23_56_56.487650
591
+ path:
592
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-21T23-56-56.487650.parquet'
593
+ - split: latest
594
+ path:
595
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-21T23-56-56.487650.parquet'
596
+ - config_name: harness_hendrycksTest_human_sexuality_5
597
+ data_files:
598
+ - split: 2024_03_21T23_56_56.487650
599
+ path:
600
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-21T23-56-56.487650.parquet'
601
+ - split: latest
602
+ path:
603
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-21T23-56-56.487650.parquet'
604
+ - config_name: harness_hendrycksTest_international_law_5
605
+ data_files:
606
+ - split: 2024_03_21T23_56_56.487650
607
+ path:
608
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-21T23-56-56.487650.parquet'
609
+ - split: latest
610
+ path:
611
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-21T23-56-56.487650.parquet'
612
+ - config_name: harness_hendrycksTest_jurisprudence_5
613
+ data_files:
614
+ - split: 2024_03_21T23_56_56.487650
615
+ path:
616
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-21T23-56-56.487650.parquet'
617
+ - split: latest
618
+ path:
619
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-21T23-56-56.487650.parquet'
620
+ - config_name: harness_hendrycksTest_logical_fallacies_5
621
+ data_files:
622
+ - split: 2024_03_21T23_56_56.487650
623
+ path:
624
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-21T23-56-56.487650.parquet'
625
+ - split: latest
626
+ path:
627
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-21T23-56-56.487650.parquet'
628
+ - config_name: harness_hendrycksTest_machine_learning_5
629
+ data_files:
630
+ - split: 2024_03_21T23_56_56.487650
631
+ path:
632
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-21T23-56-56.487650.parquet'
633
+ - split: latest
634
+ path:
635
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-21T23-56-56.487650.parquet'
636
+ - config_name: harness_hendrycksTest_management_5
637
+ data_files:
638
+ - split: 2024_03_21T23_56_56.487650
639
+ path:
640
+ - '**/details_harness|hendrycksTest-management|5_2024-03-21T23-56-56.487650.parquet'
641
+ - split: latest
642
+ path:
643
+ - '**/details_harness|hendrycksTest-management|5_2024-03-21T23-56-56.487650.parquet'
644
+ - config_name: harness_hendrycksTest_marketing_5
645
+ data_files:
646
+ - split: 2024_03_21T23_56_56.487650
647
+ path:
648
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-21T23-56-56.487650.parquet'
649
+ - split: latest
650
+ path:
651
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-21T23-56-56.487650.parquet'
652
+ - config_name: harness_hendrycksTest_medical_genetics_5
653
+ data_files:
654
+ - split: 2024_03_21T23_56_56.487650
655
+ path:
656
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-21T23-56-56.487650.parquet'
657
+ - split: latest
658
+ path:
659
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-21T23-56-56.487650.parquet'
660
+ - config_name: harness_hendrycksTest_miscellaneous_5
661
+ data_files:
662
+ - split: 2024_03_21T23_56_56.487650
663
+ path:
664
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-21T23-56-56.487650.parquet'
665
+ - split: latest
666
+ path:
667
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-21T23-56-56.487650.parquet'
668
+ - config_name: harness_hendrycksTest_moral_disputes_5
669
+ data_files:
670
+ - split: 2024_03_21T23_56_56.487650
671
+ path:
672
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-21T23-56-56.487650.parquet'
673
+ - split: latest
674
+ path:
675
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-21T23-56-56.487650.parquet'
676
+ - config_name: harness_hendrycksTest_moral_scenarios_5
677
+ data_files:
678
+ - split: 2024_03_21T23_56_56.487650
679
+ path:
680
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-21T23-56-56.487650.parquet'
681
+ - split: latest
682
+ path:
683
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-21T23-56-56.487650.parquet'
684
+ - config_name: harness_hendrycksTest_nutrition_5
685
+ data_files:
686
+ - split: 2024_03_21T23_56_56.487650
687
+ path:
688
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-21T23-56-56.487650.parquet'
689
+ - split: latest
690
+ path:
691
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-21T23-56-56.487650.parquet'
692
+ - config_name: harness_hendrycksTest_philosophy_5
693
+ data_files:
694
+ - split: 2024_03_21T23_56_56.487650
695
+ path:
696
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-21T23-56-56.487650.parquet'
697
+ - split: latest
698
+ path:
699
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-21T23-56-56.487650.parquet'
700
+ - config_name: harness_hendrycksTest_prehistory_5
701
+ data_files:
702
+ - split: 2024_03_21T23_56_56.487650
703
+ path:
704
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-21T23-56-56.487650.parquet'
705
+ - split: latest
706
+ path:
707
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-21T23-56-56.487650.parquet'
708
+ - config_name: harness_hendrycksTest_professional_accounting_5
709
+ data_files:
710
+ - split: 2024_03_21T23_56_56.487650
711
+ path:
712
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-21T23-56-56.487650.parquet'
713
+ - split: latest
714
+ path:
715
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-21T23-56-56.487650.parquet'
716
+ - config_name: harness_hendrycksTest_professional_law_5
717
+ data_files:
718
+ - split: 2024_03_21T23_56_56.487650
719
+ path:
720
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-21T23-56-56.487650.parquet'
721
+ - split: latest
722
+ path:
723
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-21T23-56-56.487650.parquet'
724
+ - config_name: harness_hendrycksTest_professional_medicine_5
725
+ data_files:
726
+ - split: 2024_03_21T23_56_56.487650
727
+ path:
728
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-21T23-56-56.487650.parquet'
729
+ - split: latest
730
+ path:
731
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-21T23-56-56.487650.parquet'
732
+ - config_name: harness_hendrycksTest_professional_psychology_5
733
+ data_files:
734
+ - split: 2024_03_21T23_56_56.487650
735
+ path:
736
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-21T23-56-56.487650.parquet'
737
+ - split: latest
738
+ path:
739
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-21T23-56-56.487650.parquet'
740
+ - config_name: harness_hendrycksTest_public_relations_5
741
+ data_files:
742
+ - split: 2024_03_21T23_56_56.487650
743
+ path:
744
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-21T23-56-56.487650.parquet'
745
+ - split: latest
746
+ path:
747
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-21T23-56-56.487650.parquet'
748
+ - config_name: harness_hendrycksTest_security_studies_5
749
+ data_files:
750
+ - split: 2024_03_21T23_56_56.487650
751
+ path:
752
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-21T23-56-56.487650.parquet'
753
+ - split: latest
754
+ path:
755
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-21T23-56-56.487650.parquet'
756
+ - config_name: harness_hendrycksTest_sociology_5
757
+ data_files:
758
+ - split: 2024_03_21T23_56_56.487650
759
+ path:
760
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-21T23-56-56.487650.parquet'
761
+ - split: latest
762
+ path:
763
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-21T23-56-56.487650.parquet'
764
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
765
+ data_files:
766
+ - split: 2024_03_21T23_56_56.487650
767
+ path:
768
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-21T23-56-56.487650.parquet'
769
+ - split: latest
770
+ path:
771
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-21T23-56-56.487650.parquet'
772
+ - config_name: harness_hendrycksTest_virology_5
773
+ data_files:
774
+ - split: 2024_03_21T23_56_56.487650
775
+ path:
776
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-21T23-56-56.487650.parquet'
777
+ - split: latest
778
+ path:
779
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-21T23-56-56.487650.parquet'
780
+ - config_name: harness_hendrycksTest_world_religions_5
781
+ data_files:
782
+ - split: 2024_03_21T23_56_56.487650
783
+ path:
784
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-21T23-56-56.487650.parquet'
785
+ - split: latest
786
+ path:
787
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-21T23-56-56.487650.parquet'
788
+ - config_name: harness_truthfulqa_mc_0
789
+ data_files:
790
+ - split: 2024_03_21T23_56_56.487650
791
+ path:
792
+ - '**/details_harness|truthfulqa:mc|0_2024-03-21T23-56-56.487650.parquet'
793
+ - split: latest
794
+ path:
795
+ - '**/details_harness|truthfulqa:mc|0_2024-03-21T23-56-56.487650.parquet'
796
+ - config_name: harness_winogrande_5
797
+ data_files:
798
+ - split: 2024_03_21T23_56_56.487650
799
+ path:
800
+ - '**/details_harness|winogrande|5_2024-03-21T23-56-56.487650.parquet'
801
+ - split: latest
802
+ path:
803
+ - '**/details_harness|winogrande|5_2024-03-21T23-56-56.487650.parquet'
804
+ - config_name: results
805
+ data_files:
806
+ - split: 2024_03_21T23_56_56.487650
807
+ path:
808
+ - results_2024-03-21T23-56-56.487650.parquet
809
+ - split: latest
810
+ path:
811
+ - results_2024-03-21T23-56-56.487650.parquet
812
+ ---
813
+
814
+ # Dataset Card for Evaluation run of LeroyDyer/Mixtral_AI_128k_bioMedical
815
+
816
+ <!-- Provide a quick summary of the dataset. -->
817
+
818
+ Dataset automatically created during the evaluation run of model [LeroyDyer/Mixtral_AI_128k_bioMedical](https://huggingface.co/LeroyDyer/Mixtral_AI_128k_bioMedical) 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_LeroyDyer__Mixtral_AI_128k_bioMedical",
830
+ "harness_winogrande_5",
831
+ split="train")
832
+ ```
833
+
834
+ ## Latest results
835
+
836
+ These are the [latest results from run 2024-03-21T23:56:56.487650](https://huggingface.co/datasets/open-llm-leaderboard/details_LeroyDyer__Mixtral_AI_128k_bioMedical/blob/main/results_2024-03-21T23-56-56.487650.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": 0.6367474076439339,
842
+ "acc_stderr": 0.03246872792369426,
843
+ "acc_norm": 0.6403643412346053,
844
+ "acc_norm_stderr": 0.033120361724452686,
845
+ "mc1": 0.41982864137086906,
846
+ "mc1_stderr": 0.01727703030177577,
847
+ "mc2": 0.5868700278078715,
848
+ "mc2_stderr": 0.015237473175431837
849
+ },
850
+ "harness|arc:challenge|25": {
851
+ "acc": 0.6126279863481229,
852
+ "acc_stderr": 0.01423587248790987,
853
+ "acc_norm": 0.6450511945392492,
854
+ "acc_norm_stderr": 0.013983036904094089
855
+ },
856
+ "harness|hellaswag|10": {
857
+ "acc": 0.6662019518024298,
858
+ "acc_stderr": 0.004706048116764943,
859
+ "acc_norm": 0.8499302927703645,
860
+ "acc_norm_stderr": 0.003564098420387777
861
+ },
862
+ "harness|hendrycksTest-abstract_algebra|5": {
863
+ "acc": 0.37,
864
+ "acc_stderr": 0.04852365870939099,
865
+ "acc_norm": 0.37,
866
+ "acc_norm_stderr": 0.04852365870939099
867
+ },
868
+ "harness|hendrycksTest-anatomy|5": {
869
+ "acc": 0.6222222222222222,
870
+ "acc_stderr": 0.04188307537595852,
871
+ "acc_norm": 0.6222222222222222,
872
+ "acc_norm_stderr": 0.04188307537595852
873
+ },
874
+ "harness|hendrycksTest-astronomy|5": {
875
+ "acc": 0.6776315789473685,
876
+ "acc_stderr": 0.03803510248351585,
877
+ "acc_norm": 0.6776315789473685,
878
+ "acc_norm_stderr": 0.03803510248351585
879
+ },
880
+ "harness|hendrycksTest-business_ethics|5": {
881
+ "acc": 0.58,
882
+ "acc_stderr": 0.049604496374885836,
883
+ "acc_norm": 0.58,
884
+ "acc_norm_stderr": 0.049604496374885836
885
+ },
886
+ "harness|hendrycksTest-clinical_knowledge|5": {
887
+ "acc": 0.6943396226415094,
888
+ "acc_stderr": 0.028353298073322666,
889
+ "acc_norm": 0.6943396226415094,
890
+ "acc_norm_stderr": 0.028353298073322666
891
+ },
892
+ "harness|hendrycksTest-college_biology|5": {
893
+ "acc": 0.7361111111111112,
894
+ "acc_stderr": 0.03685651095897532,
895
+ "acc_norm": 0.7361111111111112,
896
+ "acc_norm_stderr": 0.03685651095897532
897
+ },
898
+ "harness|hendrycksTest-college_chemistry|5": {
899
+ "acc": 0.48,
900
+ "acc_stderr": 0.050211673156867795,
901
+ "acc_norm": 0.48,
902
+ "acc_norm_stderr": 0.050211673156867795
903
+ },
904
+ "harness|hendrycksTest-college_computer_science|5": {
905
+ "acc": 0.5,
906
+ "acc_stderr": 0.050251890762960605,
907
+ "acc_norm": 0.5,
908
+ "acc_norm_stderr": 0.050251890762960605
909
+ },
910
+ "harness|hendrycksTest-college_mathematics|5": {
911
+ "acc": 0.32,
912
+ "acc_stderr": 0.04688261722621504,
913
+ "acc_norm": 0.32,
914
+ "acc_norm_stderr": 0.04688261722621504
915
+ },
916
+ "harness|hendrycksTest-college_medicine|5": {
917
+ "acc": 0.6473988439306358,
918
+ "acc_stderr": 0.036430371689585475,
919
+ "acc_norm": 0.6473988439306358,
920
+ "acc_norm_stderr": 0.036430371689585475
921
+ },
922
+ "harness|hendrycksTest-college_physics|5": {
923
+ "acc": 0.3627450980392157,
924
+ "acc_stderr": 0.04784060704105654,
925
+ "acc_norm": 0.3627450980392157,
926
+ "acc_norm_stderr": 0.04784060704105654
927
+ },
928
+ "harness|hendrycksTest-computer_security|5": {
929
+ "acc": 0.78,
930
+ "acc_stderr": 0.04163331998932261,
931
+ "acc_norm": 0.78,
932
+ "acc_norm_stderr": 0.04163331998932261
933
+ },
934
+ "harness|hendrycksTest-conceptual_physics|5": {
935
+ "acc": 0.5531914893617021,
936
+ "acc_stderr": 0.0325005368436584,
937
+ "acc_norm": 0.5531914893617021,
938
+ "acc_norm_stderr": 0.0325005368436584
939
+ },
940
+ "harness|hendrycksTest-econometrics|5": {
941
+ "acc": 0.5,
942
+ "acc_stderr": 0.047036043419179864,
943
+ "acc_norm": 0.5,
944
+ "acc_norm_stderr": 0.047036043419179864
945
+ },
946
+ "harness|hendrycksTest-electrical_engineering|5": {
947
+ "acc": 0.5241379310344828,
948
+ "acc_stderr": 0.04161808503501531,
949
+ "acc_norm": 0.5241379310344828,
950
+ "acc_norm_stderr": 0.04161808503501531
951
+ },
952
+ "harness|hendrycksTest-elementary_mathematics|5": {
953
+ "acc": 0.4021164021164021,
954
+ "acc_stderr": 0.025253032554997692,
955
+ "acc_norm": 0.4021164021164021,
956
+ "acc_norm_stderr": 0.025253032554997692
957
+ },
958
+ "harness|hendrycksTest-formal_logic|5": {
959
+ "acc": 0.4444444444444444,
960
+ "acc_stderr": 0.044444444444444495,
961
+ "acc_norm": 0.4444444444444444,
962
+ "acc_norm_stderr": 0.044444444444444495
963
+ },
964
+ "harness|hendrycksTest-global_facts|5": {
965
+ "acc": 0.35,
966
+ "acc_stderr": 0.047937248544110196,
967
+ "acc_norm": 0.35,
968
+ "acc_norm_stderr": 0.047937248544110196
969
+ },
970
+ "harness|hendrycksTest-high_school_biology|5": {
971
+ "acc": 0.7645161290322581,
972
+ "acc_stderr": 0.024137632429337714,
973
+ "acc_norm": 0.7645161290322581,
974
+ "acc_norm_stderr": 0.024137632429337714
975
+ },
976
+ "harness|hendrycksTest-high_school_chemistry|5": {
977
+ "acc": 0.5172413793103449,
978
+ "acc_stderr": 0.035158955511656986,
979
+ "acc_norm": 0.5172413793103449,
980
+ "acc_norm_stderr": 0.035158955511656986
981
+ },
982
+ "harness|hendrycksTest-high_school_computer_science|5": {
983
+ "acc": 0.72,
984
+ "acc_stderr": 0.04512608598542127,
985
+ "acc_norm": 0.72,
986
+ "acc_norm_stderr": 0.04512608598542127
987
+ },
988
+ "harness|hendrycksTest-high_school_european_history|5": {
989
+ "acc": 0.7393939393939394,
990
+ "acc_stderr": 0.034277431758165236,
991
+ "acc_norm": 0.7393939393939394,
992
+ "acc_norm_stderr": 0.034277431758165236
993
+ },
994
+ "harness|hendrycksTest-high_school_geography|5": {
995
+ "acc": 0.7676767676767676,
996
+ "acc_stderr": 0.030088629490217487,
997
+ "acc_norm": 0.7676767676767676,
998
+ "acc_norm_stderr": 0.030088629490217487
999
+ },
1000
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1001
+ "acc": 0.8704663212435233,
1002
+ "acc_stderr": 0.024233532297758723,
1003
+ "acc_norm": 0.8704663212435233,
1004
+ "acc_norm_stderr": 0.024233532297758723
1005
+ },
1006
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1007
+ "acc": 0.6564102564102564,
1008
+ "acc_stderr": 0.024078696580635477,
1009
+ "acc_norm": 0.6564102564102564,
1010
+ "acc_norm_stderr": 0.024078696580635477
1011
+ },
1012
+ "harness|hendrycksTest-high_school_mathematics|5": {
1013
+ "acc": 0.37777777777777777,
1014
+ "acc_stderr": 0.029560707392465715,
1015
+ "acc_norm": 0.37777777777777777,
1016
+ "acc_norm_stderr": 0.029560707392465715
1017
+ },
1018
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1019
+ "acc": 0.6890756302521008,
1020
+ "acc_stderr": 0.03006676158297794,
1021
+ "acc_norm": 0.6890756302521008,
1022
+ "acc_norm_stderr": 0.03006676158297794
1023
+ },
1024
+ "harness|hendrycksTest-high_school_physics|5": {
1025
+ "acc": 0.3576158940397351,
1026
+ "acc_stderr": 0.03913453431177258,
1027
+ "acc_norm": 0.3576158940397351,
1028
+ "acc_norm_stderr": 0.03913453431177258
1029
+ },
1030
+ "harness|hendrycksTest-high_school_psychology|5": {
1031
+ "acc": 0.8091743119266055,
1032
+ "acc_stderr": 0.016847676400091098,
1033
+ "acc_norm": 0.8091743119266055,
1034
+ "acc_norm_stderr": 0.016847676400091098
1035
+ },
1036
+ "harness|hendrycksTest-high_school_statistics|5": {
1037
+ "acc": 0.5277777777777778,
1038
+ "acc_stderr": 0.0340470532865388,
1039
+ "acc_norm": 0.5277777777777778,
1040
+ "acc_norm_stderr": 0.0340470532865388
1041
+ },
1042
+ "harness|hendrycksTest-high_school_us_history|5": {
1043
+ "acc": 0.7941176470588235,
1044
+ "acc_stderr": 0.028379449451588667,
1045
+ "acc_norm": 0.7941176470588235,
1046
+ "acc_norm_stderr": 0.028379449451588667
1047
+ },
1048
+ "harness|hendrycksTest-high_school_world_history|5": {
1049
+ "acc": 0.7848101265822784,
1050
+ "acc_stderr": 0.02675082699467617,
1051
+ "acc_norm": 0.7848101265822784,
1052
+ "acc_norm_stderr": 0.02675082699467617
1053
+ },
1054
+ "harness|hendrycksTest-human_aging|5": {
1055
+ "acc": 0.6636771300448431,
1056
+ "acc_stderr": 0.031708824268455005,
1057
+ "acc_norm": 0.6636771300448431,
1058
+ "acc_norm_stderr": 0.031708824268455005
1059
+ },
1060
+ "harness|hendrycksTest-human_sexuality|5": {
1061
+ "acc": 0.7480916030534351,
1062
+ "acc_stderr": 0.03807387116306085,
1063
+ "acc_norm": 0.7480916030534351,
1064
+ "acc_norm_stderr": 0.03807387116306085
1065
+ },
1066
+ "harness|hendrycksTest-international_law|5": {
1067
+ "acc": 0.7933884297520661,
1068
+ "acc_stderr": 0.03695980128098823,
1069
+ "acc_norm": 0.7933884297520661,
1070
+ "acc_norm_stderr": 0.03695980128098823
1071
+ },
1072
+ "harness|hendrycksTest-jurisprudence|5": {
1073
+ "acc": 0.7407407407407407,
1074
+ "acc_stderr": 0.04236511258094633,
1075
+ "acc_norm": 0.7407407407407407,
1076
+ "acc_norm_stderr": 0.04236511258094633
1077
+ },
1078
+ "harness|hendrycksTest-logical_fallacies|5": {
1079
+ "acc": 0.7668711656441718,
1080
+ "acc_stderr": 0.0332201579577674,
1081
+ "acc_norm": 0.7668711656441718,
1082
+ "acc_norm_stderr": 0.0332201579577674
1083
+ },
1084
+ "harness|hendrycksTest-machine_learning|5": {
1085
+ "acc": 0.5089285714285714,
1086
+ "acc_stderr": 0.04745033255489123,
1087
+ "acc_norm": 0.5089285714285714,
1088
+ "acc_norm_stderr": 0.04745033255489123
1089
+ },
1090
+ "harness|hendrycksTest-management|5": {
1091
+ "acc": 0.7475728155339806,
1092
+ "acc_stderr": 0.04301250399690878,
1093
+ "acc_norm": 0.7475728155339806,
1094
+ "acc_norm_stderr": 0.04301250399690878
1095
+ },
1096
+ "harness|hendrycksTest-marketing|5": {
1097
+ "acc": 0.8547008547008547,
1098
+ "acc_stderr": 0.023086635086841407,
1099
+ "acc_norm": 0.8547008547008547,
1100
+ "acc_norm_stderr": 0.023086635086841407
1101
+ },
1102
+ "harness|hendrycksTest-medical_genetics|5": {
1103
+ "acc": 0.74,
1104
+ "acc_stderr": 0.04408440022768079,
1105
+ "acc_norm": 0.74,
1106
+ "acc_norm_stderr": 0.04408440022768079
1107
+ },
1108
+ "harness|hendrycksTest-miscellaneous|5": {
1109
+ "acc": 0.8084291187739464,
1110
+ "acc_stderr": 0.014072859310451949,
1111
+ "acc_norm": 0.8084291187739464,
1112
+ "acc_norm_stderr": 0.014072859310451949
1113
+ },
1114
+ "harness|hendrycksTest-moral_disputes|5": {
1115
+ "acc": 0.7023121387283237,
1116
+ "acc_stderr": 0.024617055388677006,
1117
+ "acc_norm": 0.7023121387283237,
1118
+ "acc_norm_stderr": 0.024617055388677006
1119
+ },
1120
+ "harness|hendrycksTest-moral_scenarios|5": {
1121
+ "acc": 0.39217877094972065,
1122
+ "acc_stderr": 0.01632906107320745,
1123
+ "acc_norm": 0.39217877094972065,
1124
+ "acc_norm_stderr": 0.01632906107320745
1125
+ },
1126
+ "harness|hendrycksTest-nutrition|5": {
1127
+ "acc": 0.7320261437908496,
1128
+ "acc_stderr": 0.025360603796242557,
1129
+ "acc_norm": 0.7320261437908496,
1130
+ "acc_norm_stderr": 0.025360603796242557
1131
+ },
1132
+ "harness|hendrycksTest-philosophy|5": {
1133
+ "acc": 0.6913183279742765,
1134
+ "acc_stderr": 0.02623696588115326,
1135
+ "acc_norm": 0.6913183279742765,
1136
+ "acc_norm_stderr": 0.02623696588115326
1137
+ },
1138
+ "harness|hendrycksTest-prehistory|5": {
1139
+ "acc": 0.7067901234567902,
1140
+ "acc_stderr": 0.025329888171900926,
1141
+ "acc_norm": 0.7067901234567902,
1142
+ "acc_norm_stderr": 0.025329888171900926
1143
+ },
1144
+ "harness|hendrycksTest-professional_accounting|5": {
1145
+ "acc": 0.48226950354609927,
1146
+ "acc_stderr": 0.02980873964223777,
1147
+ "acc_norm": 0.48226950354609927,
1148
+ "acc_norm_stderr": 0.02980873964223777
1149
+ },
1150
+ "harness|hendrycksTest-professional_law|5": {
1151
+ "acc": 0.46479791395045633,
1152
+ "acc_stderr": 0.012738547371303952,
1153
+ "acc_norm": 0.46479791395045633,
1154
+ "acc_norm_stderr": 0.012738547371303952
1155
+ },
1156
+ "harness|hendrycksTest-professional_medicine|5": {
1157
+ "acc": 0.6654411764705882,
1158
+ "acc_stderr": 0.028661996202335307,
1159
+ "acc_norm": 0.6654411764705882,
1160
+ "acc_norm_stderr": 0.028661996202335307
1161
+ },
1162
+ "harness|hendrycksTest-professional_psychology|5": {
1163
+ "acc": 0.6503267973856209,
1164
+ "acc_stderr": 0.019291961895066375,
1165
+ "acc_norm": 0.6503267973856209,
1166
+ "acc_norm_stderr": 0.019291961895066375
1167
+ },
1168
+ "harness|hendrycksTest-public_relations|5": {
1169
+ "acc": 0.6818181818181818,
1170
+ "acc_stderr": 0.04461272175910509,
1171
+ "acc_norm": 0.6818181818181818,
1172
+ "acc_norm_stderr": 0.04461272175910509
1173
+ },
1174
+ "harness|hendrycksTest-security_studies|5": {
1175
+ "acc": 0.7183673469387755,
1176
+ "acc_stderr": 0.02879518557429129,
1177
+ "acc_norm": 0.7183673469387755,
1178
+ "acc_norm_stderr": 0.02879518557429129
1179
+ },
1180
+ "harness|hendrycksTest-sociology|5": {
1181
+ "acc": 0.8557213930348259,
1182
+ "acc_stderr": 0.02484575321230604,
1183
+ "acc_norm": 0.8557213930348259,
1184
+ "acc_norm_stderr": 0.02484575321230604
1185
+ },
1186
+ "harness|hendrycksTest-us_foreign_policy|5": {
1187
+ "acc": 0.89,
1188
+ "acc_stderr": 0.03144660377352202,
1189
+ "acc_norm": 0.89,
1190
+ "acc_norm_stderr": 0.03144660377352202
1191
+ },
1192
+ "harness|hendrycksTest-virology|5": {
1193
+ "acc": 0.5240963855421686,
1194
+ "acc_stderr": 0.03887971849597264,
1195
+ "acc_norm": 0.5240963855421686,
1196
+ "acc_norm_stderr": 0.03887971849597264
1197
+ },
1198
+ "harness|hendrycksTest-world_religions|5": {
1199
+ "acc": 0.8362573099415205,
1200
+ "acc_stderr": 0.028380919596145866,
1201
+ "acc_norm": 0.8362573099415205,
1202
+ "acc_norm_stderr": 0.028380919596145866
1203
+ },
1204
+ "harness|truthfulqa:mc|0": {
1205
+ "mc1": 0.41982864137086906,
1206
+ "mc1_stderr": 0.01727703030177577,
1207
+ "mc2": 0.5868700278078715,
1208
+ "mc2_stderr": 0.015237473175431837
1209
+ },
1210
+ "harness|winogrande|5": {
1211
+ "acc": 0.7955801104972375,
1212
+ "acc_stderr": 0.011334090612597198
1213
+ },
1214
+ "harness|gsm8k|5": {
1215
+ "acc": 0.4806671721000758,
1216
+ "acc_stderr": 0.013762185709851353
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]