Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_mediocredev__open-llama-3b-v2-instruct

Dataset card Files Community
SaylorTwift HF staff commited on
Commit
a2529ef
•
1 Parent(s): 5734f77

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1352 -0
README.md ADDED
@@ -0,0 +1,1352 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of mediocredev/open-llama-3b-v2-instruct
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [mediocredev/open-llama-3b-v2-instruct](https://huggingface.co/mediocredev/open-llama-3b-v2-instruct)\
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_mediocredev__open-llama-3b-v2-instruct\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2023-12-16T15:28:20.399841](https://huggingface.co/datasets/open-llm-leaderboard/details_mediocredev__open-llama-3b-v2-instruct/blob/main/results_2023-12-16T15-28-20.399841.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\": 0.3958981300034306,\n\
20
+ \ \"acc_stderr\": 0.034198998112262805,\n \"acc_norm\": 0.4018856544108267,\n\
21
+ \ \"acc_norm_stderr\": 0.035129135992579406,\n \"mc1\": 0.2252141982864137,\n\
22
+ \ \"mc1_stderr\": 0.014623240768023498,\n \"mc2\": 0.3795634078796446,\n\
23
+ \ \"mc2_stderr\": 0.014273839655133331\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.35409556313993173,\n \"acc_stderr\": 0.01397545412275655,\n\
25
+ \ \"acc_norm\": 0.3848122866894198,\n \"acc_norm_stderr\": 0.014218371065251104\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.5142401911969727,\n\
27
+ \ \"acc_stderr\": 0.0049877573147698445,\n \"acc_norm\": 0.7024497112129058,\n\
28
+ \ \"acc_norm_stderr\": 0.004562462665505218\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.27,\n \"acc_stderr\": 0.044619604333847415,\n \
30
+ \ \"acc_norm\": 0.27,\n \"acc_norm_stderr\": 0.044619604333847415\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.45185185185185184,\n\
32
+ \ \"acc_stderr\": 0.04299268905480864,\n \"acc_norm\": 0.45185185185185184,\n\
33
+ \ \"acc_norm_stderr\": 0.04299268905480864\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.3815789473684211,\n \"acc_stderr\": 0.03953173377749194,\n\
35
+ \ \"acc_norm\": 0.3815789473684211,\n \"acc_norm_stderr\": 0.03953173377749194\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.41,\n\
37
+ \ \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.41,\n \
38
+ \ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.4377358490566038,\n \"acc_stderr\": 0.03053333843046751,\n\
40
+ \ \"acc_norm\": 0.4377358490566038,\n \"acc_norm_stderr\": 0.03053333843046751\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3680555555555556,\n\
42
+ \ \"acc_stderr\": 0.04032999053960719,\n \"acc_norm\": 0.3680555555555556,\n\
43
+ \ \"acc_norm_stderr\": 0.04032999053960719\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
45
+ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
47
+ : 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \"acc_norm\": 0.35,\n\
48
+ \ \"acc_norm_stderr\": 0.0479372485441102\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.29,\n \"acc_stderr\": 0.045604802157206845,\n \
50
+ \ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.045604802157206845\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.43352601156069365,\n\
52
+ \ \"acc_stderr\": 0.03778621079092055,\n \"acc_norm\": 0.43352601156069365,\n\
53
+ \ \"acc_norm_stderr\": 0.03778621079092055\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.19607843137254902,\n \"acc_stderr\": 0.03950581861179961,\n\
55
+ \ \"acc_norm\": 0.19607843137254902,\n \"acc_norm_stderr\": 0.03950581861179961\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.48,\n \"acc_stderr\": 0.050211673156867795,\n \"acc_norm\": 0.48,\n\
58
+ \ \"acc_norm_stderr\": 0.050211673156867795\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.3659574468085106,\n \"acc_stderr\": 0.0314895582974553,\n\
60
+ \ \"acc_norm\": 0.3659574468085106,\n \"acc_norm_stderr\": 0.0314895582974553\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2894736842105263,\n\
62
+ \ \"acc_stderr\": 0.042663394431593935,\n \"acc_norm\": 0.2894736842105263,\n\
63
+ \ \"acc_norm_stderr\": 0.042663394431593935\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.3931034482758621,\n \"acc_stderr\": 0.0407032901370707,\n\
65
+ \ \"acc_norm\": 0.3931034482758621,\n \"acc_norm_stderr\": 0.0407032901370707\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.2698412698412698,\n \"acc_stderr\": 0.022860838309232072,\n \"\
68
+ acc_norm\": 0.2698412698412698,\n \"acc_norm_stderr\": 0.022860838309232072\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.30158730158730157,\n\
70
+ \ \"acc_stderr\": 0.041049472699033945,\n \"acc_norm\": 0.30158730158730157,\n\
71
+ \ \"acc_norm_stderr\": 0.041049472699033945\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.34,\n \"acc_stderr\": 0.047609522856952365,\n \
73
+ \ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.047609522856952365\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
75
+ : 0.4161290322580645,\n \"acc_stderr\": 0.028040981380761547,\n \"\
76
+ acc_norm\": 0.4161290322580645,\n \"acc_norm_stderr\": 0.028040981380761547\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
78
+ : 0.2660098522167488,\n \"acc_stderr\": 0.03108982600293753,\n \"\
79
+ acc_norm\": 0.2660098522167488,\n \"acc_norm_stderr\": 0.03108982600293753\n\
80
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
81
+ \ \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939098,\n \"acc_norm\"\
82
+ : 0.37,\n \"acc_norm_stderr\": 0.04852365870939098\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
83
+ : {\n \"acc\": 0.4484848484848485,\n \"acc_stderr\": 0.038835659779569286,\n\
84
+ \ \"acc_norm\": 0.4484848484848485,\n \"acc_norm_stderr\": 0.038835659779569286\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
86
+ : 0.5454545454545454,\n \"acc_stderr\": 0.03547601494006937,\n \"\
87
+ acc_norm\": 0.5454545454545454,\n \"acc_norm_stderr\": 0.03547601494006937\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
89
+ \ \"acc\": 0.48186528497409326,\n \"acc_stderr\": 0.03606065001832919,\n\
90
+ \ \"acc_norm\": 0.48186528497409326,\n \"acc_norm_stderr\": 0.03606065001832919\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
92
+ \ \"acc\": 0.35128205128205126,\n \"acc_stderr\": 0.024203665177902796,\n\
93
+ \ \"acc_norm\": 0.35128205128205126,\n \"acc_norm_stderr\": 0.024203665177902796\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
95
+ acc\": 0.25925925925925924,\n \"acc_stderr\": 0.026719240783712166,\n \
96
+ \ \"acc_norm\": 0.25925925925925924,\n \"acc_norm_stderr\": 0.026719240783712166\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
98
+ \ \"acc\": 0.35714285714285715,\n \"acc_stderr\": 0.031124619309328177,\n\
99
+ \ \"acc_norm\": 0.35714285714285715,\n \"acc_norm_stderr\": 0.031124619309328177\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
101
+ : 0.2980132450331126,\n \"acc_stderr\": 0.037345356767871984,\n \"\
102
+ acc_norm\": 0.2980132450331126,\n \"acc_norm_stderr\": 0.037345356767871984\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
104
+ : 0.4972477064220184,\n \"acc_stderr\": 0.02143699835976532,\n \"\
105
+ acc_norm\": 0.4972477064220184,\n \"acc_norm_stderr\": 0.02143699835976532\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
107
+ : 0.3055555555555556,\n \"acc_stderr\": 0.03141554629402544,\n \"\
108
+ acc_norm\": 0.3055555555555556,\n \"acc_norm_stderr\": 0.03141554629402544\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
110
+ : 0.46078431372549017,\n \"acc_stderr\": 0.03498501649369527,\n \"\
111
+ acc_norm\": 0.46078431372549017,\n \"acc_norm_stderr\": 0.03498501649369527\n\
112
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
113
+ acc\": 0.5611814345991561,\n \"acc_stderr\": 0.032302649315470375,\n \
114
+ \ \"acc_norm\": 0.5611814345991561,\n \"acc_norm_stderr\": 0.032302649315470375\n\
115
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.4977578475336323,\n\
116
+ \ \"acc_stderr\": 0.033557465352232634,\n \"acc_norm\": 0.4977578475336323,\n\
117
+ \ \"acc_norm_stderr\": 0.033557465352232634\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
118
+ : {\n \"acc\": 0.46564885496183206,\n \"acc_stderr\": 0.04374928560599738,\n\
119
+ \ \"acc_norm\": 0.46564885496183206,\n \"acc_norm_stderr\": 0.04374928560599738\n\
120
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
121
+ \ 0.47107438016528924,\n \"acc_stderr\": 0.04556710331269498,\n \"\
122
+ acc_norm\": 0.47107438016528924,\n \"acc_norm_stderr\": 0.04556710331269498\n\
123
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.4166666666666667,\n\
124
+ \ \"acc_stderr\": 0.04766075165356461,\n \"acc_norm\": 0.4166666666666667,\n\
125
+ \ \"acc_norm_stderr\": 0.04766075165356461\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
126
+ : {\n \"acc\": 0.4110429447852761,\n \"acc_stderr\": 0.038656978537853624,\n\
127
+ \ \"acc_norm\": 0.4110429447852761,\n \"acc_norm_stderr\": 0.038656978537853624\n\
128
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.3125,\n\
129
+ \ \"acc_stderr\": 0.043994650575715215,\n \"acc_norm\": 0.3125,\n\
130
+ \ \"acc_norm_stderr\": 0.043994650575715215\n },\n \"harness|hendrycksTest-management|5\"\
131
+ : {\n \"acc\": 0.5533980582524272,\n \"acc_stderr\": 0.04922424153458933,\n\
132
+ \ \"acc_norm\": 0.5533980582524272,\n \"acc_norm_stderr\": 0.04922424153458933\n\
133
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.5341880341880342,\n\
134
+ \ \"acc_stderr\": 0.03267942734081228,\n \"acc_norm\": 0.5341880341880342,\n\
135
+ \ \"acc_norm_stderr\": 0.03267942734081228\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
136
+ : {\n \"acc\": 0.4,\n \"acc_stderr\": 0.049236596391733084,\n \
137
+ \ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.049236596391733084\n \
138
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.5261813537675607,\n\
139
+ \ \"acc_stderr\": 0.01785543455404199,\n \"acc_norm\": 0.5261813537675607,\n\
140
+ \ \"acc_norm_stderr\": 0.01785543455404199\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
141
+ : {\n \"acc\": 0.4277456647398844,\n \"acc_stderr\": 0.02663653974111608,\n\
142
+ \ \"acc_norm\": 0.4277456647398844,\n \"acc_norm_stderr\": 0.02663653974111608\n\
143
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.25139664804469275,\n\
144
+ \ \"acc_stderr\": 0.014508979453553984,\n \"acc_norm\": 0.25139664804469275,\n\
145
+ \ \"acc_norm_stderr\": 0.014508979453553984\n },\n \"harness|hendrycksTest-nutrition|5\"\
146
+ : {\n \"acc\": 0.42810457516339867,\n \"acc_stderr\": 0.028332397483664274,\n\
147
+ \ \"acc_norm\": 0.42810457516339867,\n \"acc_norm_stderr\": 0.028332397483664274\n\
148
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.40192926045016075,\n\
149
+ \ \"acc_stderr\": 0.027846476005930473,\n \"acc_norm\": 0.40192926045016075,\n\
150
+ \ \"acc_norm_stderr\": 0.027846476005930473\n },\n \"harness|hendrycksTest-prehistory|5\"\
151
+ : {\n \"acc\": 0.41358024691358025,\n \"acc_stderr\": 0.027402042040269952,\n\
152
+ \ \"acc_norm\": 0.41358024691358025,\n \"acc_norm_stderr\": 0.027402042040269952\n\
153
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
154
+ acc\": 0.3049645390070922,\n \"acc_stderr\": 0.027464708442022128,\n \
155
+ \ \"acc_norm\": 0.3049645390070922,\n \"acc_norm_stderr\": 0.027464708442022128\n\
156
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.30964797913950454,\n\
157
+ \ \"acc_stderr\": 0.01180859826250332,\n \"acc_norm\": 0.30964797913950454,\n\
158
+ \ \"acc_norm_stderr\": 0.01180859826250332\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
159
+ : {\n \"acc\": 0.3786764705882353,\n \"acc_stderr\": 0.029465133639776132,\n\
160
+ \ \"acc_norm\": 0.3786764705882353,\n \"acc_norm_stderr\": 0.029465133639776132\n\
161
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
162
+ acc\": 0.36437908496732024,\n \"acc_stderr\": 0.019469518221573702,\n \
163
+ \ \"acc_norm\": 0.36437908496732024,\n \"acc_norm_stderr\": 0.019469518221573702\n\
164
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.5,\n\
165
+ \ \"acc_stderr\": 0.04789131426105757,\n \"acc_norm\": 0.5,\n \
166
+ \ \"acc_norm_stderr\": 0.04789131426105757\n },\n \"harness|hendrycksTest-security_studies|5\"\
167
+ : {\n \"acc\": 0.32653061224489793,\n \"acc_stderr\": 0.030021056238440286,\n\
168
+ \ \"acc_norm\": 0.32653061224489793,\n \"acc_norm_stderr\": 0.030021056238440286\n\
169
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.4527363184079602,\n\
170
+ \ \"acc_stderr\": 0.035197027175769155,\n \"acc_norm\": 0.4527363184079602,\n\
171
+ \ \"acc_norm_stderr\": 0.035197027175769155\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
172
+ : {\n \"acc\": 0.6,\n \"acc_stderr\": 0.049236596391733084,\n \
173
+ \ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.049236596391733084\n \
174
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.39156626506024095,\n\
175
+ \ \"acc_stderr\": 0.03799857454479636,\n \"acc_norm\": 0.39156626506024095,\n\
176
+ \ \"acc_norm_stderr\": 0.03799857454479636\n },\n \"harness|hendrycksTest-world_religions|5\"\
177
+ : {\n \"acc\": 0.49707602339181284,\n \"acc_stderr\": 0.03834759370936839,\n\
178
+ \ \"acc_norm\": 0.49707602339181284,\n \"acc_norm_stderr\": 0.03834759370936839\n\
179
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2252141982864137,\n\
180
+ \ \"mc1_stderr\": 0.014623240768023498,\n \"mc2\": 0.3795634078796446,\n\
181
+ \ \"mc2_stderr\": 0.014273839655133331\n },\n \"harness|winogrande|5\"\
182
+ : {\n \"acc\": 0.6574585635359116,\n \"acc_stderr\": 0.013337483579075923\n\
183
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
184
+ : 0.0\n }\n}\n```"
185
+ repo_url: https://huggingface.co/mediocredev/open-llama-3b-v2-instruct
186
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
187
+ point_of_contact: clementine@hf.co
188
+ configs:
189
+ - config_name: harness_arc_challenge_25
190
+ data_files:
191
+ - split: 2023_12_16T15_28_20.399841
192
+ path:
193
+ - '**/details_harness|arc:challenge|25_2023-12-16T15-28-20.399841.parquet'
194
+ - split: latest
195
+ path:
196
+ - '**/details_harness|arc:challenge|25_2023-12-16T15-28-20.399841.parquet'
197
+ - config_name: harness_gsm8k_5
198
+ data_files:
199
+ - split: 2023_12_16T15_28_20.399841
200
+ path:
201
+ - '**/details_harness|gsm8k|5_2023-12-16T15-28-20.399841.parquet'
202
+ - split: latest
203
+ path:
204
+ - '**/details_harness|gsm8k|5_2023-12-16T15-28-20.399841.parquet'
205
+ - config_name: harness_hellaswag_10
206
+ data_files:
207
+ - split: 2023_12_16T15_28_20.399841
208
+ path:
209
+ - '**/details_harness|hellaswag|10_2023-12-16T15-28-20.399841.parquet'
210
+ - split: latest
211
+ path:
212
+ - '**/details_harness|hellaswag|10_2023-12-16T15-28-20.399841.parquet'
213
+ - config_name: harness_hendrycksTest_5
214
+ data_files:
215
+ - split: 2023_12_16T15_28_20.399841
216
+ path:
217
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-28-20.399841.parquet'
218
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-28-20.399841.parquet'
219
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-28-20.399841.parquet'
220
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-28-20.399841.parquet'
221
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-28-20.399841.parquet'
222
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-28-20.399841.parquet'
223
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-28-20.399841.parquet'
224
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-28-20.399841.parquet'
225
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-28-20.399841.parquet'
226
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-28-20.399841.parquet'
227
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-28-20.399841.parquet'
228
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-28-20.399841.parquet'
229
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-28-20.399841.parquet'
230
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-28-20.399841.parquet'
231
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-28-20.399841.parquet'
232
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-28-20.399841.parquet'
233
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-28-20.399841.parquet'
234
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-28-20.399841.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-28-20.399841.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-28-20.399841.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-28-20.399841.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-28-20.399841.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-28-20.399841.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-28-20.399841.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-28-20.399841.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-28-20.399841.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-28-20.399841.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-28-20.399841.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-28-20.399841.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-28-20.399841.parquet'
247
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-28-20.399841.parquet'
248
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-28-20.399841.parquet'
249
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-28-20.399841.parquet'
250
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-28-20.399841.parquet'
251
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-28-20.399841.parquet'
252
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-28-20.399841.parquet'
253
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-28-20.399841.parquet'
254
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-28-20.399841.parquet'
255
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-28-20.399841.parquet'
256
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-28-20.399841.parquet'
257
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-28-20.399841.parquet'
258
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-28-20.399841.parquet'
259
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-28-20.399841.parquet'
260
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-28-20.399841.parquet'
261
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-28-20.399841.parquet'
262
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-28-20.399841.parquet'
263
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-28-20.399841.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-28-20.399841.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-28-20.399841.parquet'
266
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-28-20.399841.parquet'
267
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-28-20.399841.parquet'
268
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-28-20.399841.parquet'
269
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-28-20.399841.parquet'
270
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-28-20.399841.parquet'
271
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-28-20.399841.parquet'
272
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-28-20.399841.parquet'
273
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-28-20.399841.parquet'
274
+ - split: latest
275
+ path:
276
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-28-20.399841.parquet'
277
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-28-20.399841.parquet'
278
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-28-20.399841.parquet'
279
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-28-20.399841.parquet'
280
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-28-20.399841.parquet'
281
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-28-20.399841.parquet'
282
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-28-20.399841.parquet'
283
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-28-20.399841.parquet'
284
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-28-20.399841.parquet'
285
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-28-20.399841.parquet'
286
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-28-20.399841.parquet'
287
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-28-20.399841.parquet'
288
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-28-20.399841.parquet'
289
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-28-20.399841.parquet'
290
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-28-20.399841.parquet'
291
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-28-20.399841.parquet'
292
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-28-20.399841.parquet'
293
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-28-20.399841.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-28-20.399841.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-28-20.399841.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-28-20.399841.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-28-20.399841.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-28-20.399841.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-28-20.399841.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-28-20.399841.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-28-20.399841.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-28-20.399841.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-28-20.399841.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-28-20.399841.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-28-20.399841.parquet'
306
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-28-20.399841.parquet'
307
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-28-20.399841.parquet'
308
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-28-20.399841.parquet'
309
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-28-20.399841.parquet'
310
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-28-20.399841.parquet'
311
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-28-20.399841.parquet'
312
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-28-20.399841.parquet'
313
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-28-20.399841.parquet'
314
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-28-20.399841.parquet'
315
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-28-20.399841.parquet'
316
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-28-20.399841.parquet'
317
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-28-20.399841.parquet'
318
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-28-20.399841.parquet'
319
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-28-20.399841.parquet'
320
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-28-20.399841.parquet'
321
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-28-20.399841.parquet'
322
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-28-20.399841.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-28-20.399841.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-28-20.399841.parquet'
325
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-28-20.399841.parquet'
326
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-28-20.399841.parquet'
327
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-28-20.399841.parquet'
328
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-28-20.399841.parquet'
329
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-28-20.399841.parquet'
330
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-28-20.399841.parquet'
331
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-28-20.399841.parquet'
332
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-28-20.399841.parquet'
333
+ - config_name: harness_hendrycksTest_abstract_algebra_5
334
+ data_files:
335
+ - split: 2023_12_16T15_28_20.399841
336
+ path:
337
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-28-20.399841.parquet'
338
+ - split: latest
339
+ path:
340
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-16T15-28-20.399841.parquet'
341
+ - config_name: harness_hendrycksTest_anatomy_5
342
+ data_files:
343
+ - split: 2023_12_16T15_28_20.399841
344
+ path:
345
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-28-20.399841.parquet'
346
+ - split: latest
347
+ path:
348
+ - '**/details_harness|hendrycksTest-anatomy|5_2023-12-16T15-28-20.399841.parquet'
349
+ - config_name: harness_hendrycksTest_astronomy_5
350
+ data_files:
351
+ - split: 2023_12_16T15_28_20.399841
352
+ path:
353
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-28-20.399841.parquet'
354
+ - split: latest
355
+ path:
356
+ - '**/details_harness|hendrycksTest-astronomy|5_2023-12-16T15-28-20.399841.parquet'
357
+ - config_name: harness_hendrycksTest_business_ethics_5
358
+ data_files:
359
+ - split: 2023_12_16T15_28_20.399841
360
+ path:
361
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-28-20.399841.parquet'
362
+ - split: latest
363
+ path:
364
+ - '**/details_harness|hendrycksTest-business_ethics|5_2023-12-16T15-28-20.399841.parquet'
365
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
366
+ data_files:
367
+ - split: 2023_12_16T15_28_20.399841
368
+ path:
369
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-28-20.399841.parquet'
370
+ - split: latest
371
+ path:
372
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-16T15-28-20.399841.parquet'
373
+ - config_name: harness_hendrycksTest_college_biology_5
374
+ data_files:
375
+ - split: 2023_12_16T15_28_20.399841
376
+ path:
377
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-28-20.399841.parquet'
378
+ - split: latest
379
+ path:
380
+ - '**/details_harness|hendrycksTest-college_biology|5_2023-12-16T15-28-20.399841.parquet'
381
+ - config_name: harness_hendrycksTest_college_chemistry_5
382
+ data_files:
383
+ - split: 2023_12_16T15_28_20.399841
384
+ path:
385
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-28-20.399841.parquet'
386
+ - split: latest
387
+ path:
388
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-16T15-28-20.399841.parquet'
389
+ - config_name: harness_hendrycksTest_college_computer_science_5
390
+ data_files:
391
+ - split: 2023_12_16T15_28_20.399841
392
+ path:
393
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-28-20.399841.parquet'
394
+ - split: latest
395
+ path:
396
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-16T15-28-20.399841.parquet'
397
+ - config_name: harness_hendrycksTest_college_mathematics_5
398
+ data_files:
399
+ - split: 2023_12_16T15_28_20.399841
400
+ path:
401
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-28-20.399841.parquet'
402
+ - split: latest
403
+ path:
404
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-16T15-28-20.399841.parquet'
405
+ - config_name: harness_hendrycksTest_college_medicine_5
406
+ data_files:
407
+ - split: 2023_12_16T15_28_20.399841
408
+ path:
409
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-28-20.399841.parquet'
410
+ - split: latest
411
+ path:
412
+ - '**/details_harness|hendrycksTest-college_medicine|5_2023-12-16T15-28-20.399841.parquet'
413
+ - config_name: harness_hendrycksTest_college_physics_5
414
+ data_files:
415
+ - split: 2023_12_16T15_28_20.399841
416
+ path:
417
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-28-20.399841.parquet'
418
+ - split: latest
419
+ path:
420
+ - '**/details_harness|hendrycksTest-college_physics|5_2023-12-16T15-28-20.399841.parquet'
421
+ - config_name: harness_hendrycksTest_computer_security_5
422
+ data_files:
423
+ - split: 2023_12_16T15_28_20.399841
424
+ path:
425
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-28-20.399841.parquet'
426
+ - split: latest
427
+ path:
428
+ - '**/details_harness|hendrycksTest-computer_security|5_2023-12-16T15-28-20.399841.parquet'
429
+ - config_name: harness_hendrycksTest_conceptual_physics_5
430
+ data_files:
431
+ - split: 2023_12_16T15_28_20.399841
432
+ path:
433
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-28-20.399841.parquet'
434
+ - split: latest
435
+ path:
436
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-16T15-28-20.399841.parquet'
437
+ - config_name: harness_hendrycksTest_econometrics_5
438
+ data_files:
439
+ - split: 2023_12_16T15_28_20.399841
440
+ path:
441
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-28-20.399841.parquet'
442
+ - split: latest
443
+ path:
444
+ - '**/details_harness|hendrycksTest-econometrics|5_2023-12-16T15-28-20.399841.parquet'
445
+ - config_name: harness_hendrycksTest_electrical_engineering_5
446
+ data_files:
447
+ - split: 2023_12_16T15_28_20.399841
448
+ path:
449
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-28-20.399841.parquet'
450
+ - split: latest
451
+ path:
452
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-16T15-28-20.399841.parquet'
453
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
454
+ data_files:
455
+ - split: 2023_12_16T15_28_20.399841
456
+ path:
457
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-28-20.399841.parquet'
458
+ - split: latest
459
+ path:
460
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-16T15-28-20.399841.parquet'
461
+ - config_name: harness_hendrycksTest_formal_logic_5
462
+ data_files:
463
+ - split: 2023_12_16T15_28_20.399841
464
+ path:
465
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-28-20.399841.parquet'
466
+ - split: latest
467
+ path:
468
+ - '**/details_harness|hendrycksTest-formal_logic|5_2023-12-16T15-28-20.399841.parquet'
469
+ - config_name: harness_hendrycksTest_global_facts_5
470
+ data_files:
471
+ - split: 2023_12_16T15_28_20.399841
472
+ path:
473
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-28-20.399841.parquet'
474
+ - split: latest
475
+ path:
476
+ - '**/details_harness|hendrycksTest-global_facts|5_2023-12-16T15-28-20.399841.parquet'
477
+ - config_name: harness_hendrycksTest_high_school_biology_5
478
+ data_files:
479
+ - split: 2023_12_16T15_28_20.399841
480
+ path:
481
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-28-20.399841.parquet'
482
+ - split: latest
483
+ path:
484
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-16T15-28-20.399841.parquet'
485
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
486
+ data_files:
487
+ - split: 2023_12_16T15_28_20.399841
488
+ path:
489
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-28-20.399841.parquet'
490
+ - split: latest
491
+ path:
492
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-16T15-28-20.399841.parquet'
493
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
494
+ data_files:
495
+ - split: 2023_12_16T15_28_20.399841
496
+ path:
497
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-28-20.399841.parquet'
498
+ - split: latest
499
+ path:
500
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-16T15-28-20.399841.parquet'
501
+ - config_name: harness_hendrycksTest_high_school_european_history_5
502
+ data_files:
503
+ - split: 2023_12_16T15_28_20.399841
504
+ path:
505
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-28-20.399841.parquet'
506
+ - split: latest
507
+ path:
508
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-16T15-28-20.399841.parquet'
509
+ - config_name: harness_hendrycksTest_high_school_geography_5
510
+ data_files:
511
+ - split: 2023_12_16T15_28_20.399841
512
+ path:
513
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-28-20.399841.parquet'
514
+ - split: latest
515
+ path:
516
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-16T15-28-20.399841.parquet'
517
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
518
+ data_files:
519
+ - split: 2023_12_16T15_28_20.399841
520
+ path:
521
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-28-20.399841.parquet'
522
+ - split: latest
523
+ path:
524
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-16T15-28-20.399841.parquet'
525
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
526
+ data_files:
527
+ - split: 2023_12_16T15_28_20.399841
528
+ path:
529
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-28-20.399841.parquet'
530
+ - split: latest
531
+ path:
532
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-16T15-28-20.399841.parquet'
533
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
534
+ data_files:
535
+ - split: 2023_12_16T15_28_20.399841
536
+ path:
537
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-28-20.399841.parquet'
538
+ - split: latest
539
+ path:
540
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-16T15-28-20.399841.parquet'
541
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
542
+ data_files:
543
+ - split: 2023_12_16T15_28_20.399841
544
+ path:
545
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-28-20.399841.parquet'
546
+ - split: latest
547
+ path:
548
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-16T15-28-20.399841.parquet'
549
+ - config_name: harness_hendrycksTest_high_school_physics_5
550
+ data_files:
551
+ - split: 2023_12_16T15_28_20.399841
552
+ path:
553
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-28-20.399841.parquet'
554
+ - split: latest
555
+ path:
556
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-16T15-28-20.399841.parquet'
557
+ - config_name: harness_hendrycksTest_high_school_psychology_5
558
+ data_files:
559
+ - split: 2023_12_16T15_28_20.399841
560
+ path:
561
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-28-20.399841.parquet'
562
+ - split: latest
563
+ path:
564
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-16T15-28-20.399841.parquet'
565
+ - config_name: harness_hendrycksTest_high_school_statistics_5
566
+ data_files:
567
+ - split: 2023_12_16T15_28_20.399841
568
+ path:
569
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-28-20.399841.parquet'
570
+ - split: latest
571
+ path:
572
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-16T15-28-20.399841.parquet'
573
+ - config_name: harness_hendrycksTest_high_school_us_history_5
574
+ data_files:
575
+ - split: 2023_12_16T15_28_20.399841
576
+ path:
577
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-28-20.399841.parquet'
578
+ - split: latest
579
+ path:
580
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-16T15-28-20.399841.parquet'
581
+ - config_name: harness_hendrycksTest_high_school_world_history_5
582
+ data_files:
583
+ - split: 2023_12_16T15_28_20.399841
584
+ path:
585
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-28-20.399841.parquet'
586
+ - split: latest
587
+ path:
588
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-16T15-28-20.399841.parquet'
589
+ - config_name: harness_hendrycksTest_human_aging_5
590
+ data_files:
591
+ - split: 2023_12_16T15_28_20.399841
592
+ path:
593
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-28-20.399841.parquet'
594
+ - split: latest
595
+ path:
596
+ - '**/details_harness|hendrycksTest-human_aging|5_2023-12-16T15-28-20.399841.parquet'
597
+ - config_name: harness_hendrycksTest_human_sexuality_5
598
+ data_files:
599
+ - split: 2023_12_16T15_28_20.399841
600
+ path:
601
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-28-20.399841.parquet'
602
+ - split: latest
603
+ path:
604
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-16T15-28-20.399841.parquet'
605
+ - config_name: harness_hendrycksTest_international_law_5
606
+ data_files:
607
+ - split: 2023_12_16T15_28_20.399841
608
+ path:
609
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-28-20.399841.parquet'
610
+ - split: latest
611
+ path:
612
+ - '**/details_harness|hendrycksTest-international_law|5_2023-12-16T15-28-20.399841.parquet'
613
+ - config_name: harness_hendrycksTest_jurisprudence_5
614
+ data_files:
615
+ - split: 2023_12_16T15_28_20.399841
616
+ path:
617
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-28-20.399841.parquet'
618
+ - split: latest
619
+ path:
620
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-16T15-28-20.399841.parquet'
621
+ - config_name: harness_hendrycksTest_logical_fallacies_5
622
+ data_files:
623
+ - split: 2023_12_16T15_28_20.399841
624
+ path:
625
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-28-20.399841.parquet'
626
+ - split: latest
627
+ path:
628
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-16T15-28-20.399841.parquet'
629
+ - config_name: harness_hendrycksTest_machine_learning_5
630
+ data_files:
631
+ - split: 2023_12_16T15_28_20.399841
632
+ path:
633
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-28-20.399841.parquet'
634
+ - split: latest
635
+ path:
636
+ - '**/details_harness|hendrycksTest-machine_learning|5_2023-12-16T15-28-20.399841.parquet'
637
+ - config_name: harness_hendrycksTest_management_5
638
+ data_files:
639
+ - split: 2023_12_16T15_28_20.399841
640
+ path:
641
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-28-20.399841.parquet'
642
+ - split: latest
643
+ path:
644
+ - '**/details_harness|hendrycksTest-management|5_2023-12-16T15-28-20.399841.parquet'
645
+ - config_name: harness_hendrycksTest_marketing_5
646
+ data_files:
647
+ - split: 2023_12_16T15_28_20.399841
648
+ path:
649
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-28-20.399841.parquet'
650
+ - split: latest
651
+ path:
652
+ - '**/details_harness|hendrycksTest-marketing|5_2023-12-16T15-28-20.399841.parquet'
653
+ - config_name: harness_hendrycksTest_medical_genetics_5
654
+ data_files:
655
+ - split: 2023_12_16T15_28_20.399841
656
+ path:
657
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-28-20.399841.parquet'
658
+ - split: latest
659
+ path:
660
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-16T15-28-20.399841.parquet'
661
+ - config_name: harness_hendrycksTest_miscellaneous_5
662
+ data_files:
663
+ - split: 2023_12_16T15_28_20.399841
664
+ path:
665
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-28-20.399841.parquet'
666
+ - split: latest
667
+ path:
668
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-16T15-28-20.399841.parquet'
669
+ - config_name: harness_hendrycksTest_moral_disputes_5
670
+ data_files:
671
+ - split: 2023_12_16T15_28_20.399841
672
+ path:
673
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-28-20.399841.parquet'
674
+ - split: latest
675
+ path:
676
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-16T15-28-20.399841.parquet'
677
+ - config_name: harness_hendrycksTest_moral_scenarios_5
678
+ data_files:
679
+ - split: 2023_12_16T15_28_20.399841
680
+ path:
681
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-28-20.399841.parquet'
682
+ - split: latest
683
+ path:
684
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-16T15-28-20.399841.parquet'
685
+ - config_name: harness_hendrycksTest_nutrition_5
686
+ data_files:
687
+ - split: 2023_12_16T15_28_20.399841
688
+ path:
689
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-28-20.399841.parquet'
690
+ - split: latest
691
+ path:
692
+ - '**/details_harness|hendrycksTest-nutrition|5_2023-12-16T15-28-20.399841.parquet'
693
+ - config_name: harness_hendrycksTest_philosophy_5
694
+ data_files:
695
+ - split: 2023_12_16T15_28_20.399841
696
+ path:
697
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-28-20.399841.parquet'
698
+ - split: latest
699
+ path:
700
+ - '**/details_harness|hendrycksTest-philosophy|5_2023-12-16T15-28-20.399841.parquet'
701
+ - config_name: harness_hendrycksTest_prehistory_5
702
+ data_files:
703
+ - split: 2023_12_16T15_28_20.399841
704
+ path:
705
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-28-20.399841.parquet'
706
+ - split: latest
707
+ path:
708
+ - '**/details_harness|hendrycksTest-prehistory|5_2023-12-16T15-28-20.399841.parquet'
709
+ - config_name: harness_hendrycksTest_professional_accounting_5
710
+ data_files:
711
+ - split: 2023_12_16T15_28_20.399841
712
+ path:
713
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-28-20.399841.parquet'
714
+ - split: latest
715
+ path:
716
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-16T15-28-20.399841.parquet'
717
+ - config_name: harness_hendrycksTest_professional_law_5
718
+ data_files:
719
+ - split: 2023_12_16T15_28_20.399841
720
+ path:
721
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-28-20.399841.parquet'
722
+ - split: latest
723
+ path:
724
+ - '**/details_harness|hendrycksTest-professional_law|5_2023-12-16T15-28-20.399841.parquet'
725
+ - config_name: harness_hendrycksTest_professional_medicine_5
726
+ data_files:
727
+ - split: 2023_12_16T15_28_20.399841
728
+ path:
729
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-28-20.399841.parquet'
730
+ - split: latest
731
+ path:
732
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-16T15-28-20.399841.parquet'
733
+ - config_name: harness_hendrycksTest_professional_psychology_5
734
+ data_files:
735
+ - split: 2023_12_16T15_28_20.399841
736
+ path:
737
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-28-20.399841.parquet'
738
+ - split: latest
739
+ path:
740
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-16T15-28-20.399841.parquet'
741
+ - config_name: harness_hendrycksTest_public_relations_5
742
+ data_files:
743
+ - split: 2023_12_16T15_28_20.399841
744
+ path:
745
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-28-20.399841.parquet'
746
+ - split: latest
747
+ path:
748
+ - '**/details_harness|hendrycksTest-public_relations|5_2023-12-16T15-28-20.399841.parquet'
749
+ - config_name: harness_hendrycksTest_security_studies_5
750
+ data_files:
751
+ - split: 2023_12_16T15_28_20.399841
752
+ path:
753
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-28-20.399841.parquet'
754
+ - split: latest
755
+ path:
756
+ - '**/details_harness|hendrycksTest-security_studies|5_2023-12-16T15-28-20.399841.parquet'
757
+ - config_name: harness_hendrycksTest_sociology_5
758
+ data_files:
759
+ - split: 2023_12_16T15_28_20.399841
760
+ path:
761
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-28-20.399841.parquet'
762
+ - split: latest
763
+ path:
764
+ - '**/details_harness|hendrycksTest-sociology|5_2023-12-16T15-28-20.399841.parquet'
765
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
766
+ data_files:
767
+ - split: 2023_12_16T15_28_20.399841
768
+ path:
769
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-28-20.399841.parquet'
770
+ - split: latest
771
+ path:
772
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-16T15-28-20.399841.parquet'
773
+ - config_name: harness_hendrycksTest_virology_5
774
+ data_files:
775
+ - split: 2023_12_16T15_28_20.399841
776
+ path:
777
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-28-20.399841.parquet'
778
+ - split: latest
779
+ path:
780
+ - '**/details_harness|hendrycksTest-virology|5_2023-12-16T15-28-20.399841.parquet'
781
+ - config_name: harness_hendrycksTest_world_religions_5
782
+ data_files:
783
+ - split: 2023_12_16T15_28_20.399841
784
+ path:
785
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-28-20.399841.parquet'
786
+ - split: latest
787
+ path:
788
+ - '**/details_harness|hendrycksTest-world_religions|5_2023-12-16T15-28-20.399841.parquet'
789
+ - config_name: harness_truthfulqa_mc_0
790
+ data_files:
791
+ - split: 2023_12_16T15_28_20.399841
792
+ path:
793
+ - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-28-20.399841.parquet'
794
+ - split: latest
795
+ path:
796
+ - '**/details_harness|truthfulqa:mc|0_2023-12-16T15-28-20.399841.parquet'
797
+ - config_name: harness_winogrande_5
798
+ data_files:
799
+ - split: 2023_12_16T15_28_20.399841
800
+ path:
801
+ - '**/details_harness|winogrande|5_2023-12-16T15-28-20.399841.parquet'
802
+ - split: latest
803
+ path:
804
+ - '**/details_harness|winogrande|5_2023-12-16T15-28-20.399841.parquet'
805
+ - config_name: results
806
+ data_files:
807
+ - split: 2023_12_16T15_28_20.399841
808
+ path:
809
+ - results_2023-12-16T15-28-20.399841.parquet
810
+ - split: latest
811
+ path:
812
+ - results_2023-12-16T15-28-20.399841.parquet
813
+ ---
814
+
815
+ # Dataset Card for Evaluation run of mediocredev/open-llama-3b-v2-instruct
816
+
817
+ <!-- Provide a quick summary of the dataset. -->
818
+
819
+ Dataset automatically created during the evaluation run of model [mediocredev/open-llama-3b-v2-instruct](https://huggingface.co/mediocredev/open-llama-3b-v2-instruct) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
820
+
821
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
822
+
823
+ 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.
824
+
825
+ 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)).
826
+
827
+ To load the details from a run, you can for instance do the following:
828
+ ```python
829
+ from datasets import load_dataset
830
+ data = load_dataset("open-llm-leaderboard/details_mediocredev__open-llama-3b-v2-instruct",
831
+ "harness_winogrande_5",
832
+ split="train")
833
+ ```
834
+
835
+ ## Latest results
836
+
837
+ These are the [latest results from run 2023-12-16T15:28:20.399841](https://huggingface.co/datasets/open-llm-leaderboard/details_mediocredev__open-llama-3b-v2-instruct/blob/main/results_2023-12-16T15-28-20.399841.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):
838
+
839
+ ```python
840
+ {
841
+ "all": {
842
+ "acc": 0.3958981300034306,
843
+ "acc_stderr": 0.034198998112262805,
844
+ "acc_norm": 0.4018856544108267,
845
+ "acc_norm_stderr": 0.035129135992579406,
846
+ "mc1": 0.2252141982864137,
847
+ "mc1_stderr": 0.014623240768023498,
848
+ "mc2": 0.3795634078796446,
849
+ "mc2_stderr": 0.014273839655133331
850
+ },
851
+ "harness|arc:challenge|25": {
852
+ "acc": 0.35409556313993173,
853
+ "acc_stderr": 0.01397545412275655,
854
+ "acc_norm": 0.3848122866894198,
855
+ "acc_norm_stderr": 0.014218371065251104
856
+ },
857
+ "harness|hellaswag|10": {
858
+ "acc": 0.5142401911969727,
859
+ "acc_stderr": 0.0049877573147698445,
860
+ "acc_norm": 0.7024497112129058,
861
+ "acc_norm_stderr": 0.004562462665505218
862
+ },
863
+ "harness|hendrycksTest-abstract_algebra|5": {
864
+ "acc": 0.27,
865
+ "acc_stderr": 0.044619604333847415,
866
+ "acc_norm": 0.27,
867
+ "acc_norm_stderr": 0.044619604333847415
868
+ },
869
+ "harness|hendrycksTest-anatomy|5": {
870
+ "acc": 0.45185185185185184,
871
+ "acc_stderr": 0.04299268905480864,
872
+ "acc_norm": 0.45185185185185184,
873
+ "acc_norm_stderr": 0.04299268905480864
874
+ },
875
+ "harness|hendrycksTest-astronomy|5": {
876
+ "acc": 0.3815789473684211,
877
+ "acc_stderr": 0.03953173377749194,
878
+ "acc_norm": 0.3815789473684211,
879
+ "acc_norm_stderr": 0.03953173377749194
880
+ },
881
+ "harness|hendrycksTest-business_ethics|5": {
882
+ "acc": 0.41,
883
+ "acc_stderr": 0.049431107042371025,
884
+ "acc_norm": 0.41,
885
+ "acc_norm_stderr": 0.049431107042371025
886
+ },
887
+ "harness|hendrycksTest-clinical_knowledge|5": {
888
+ "acc": 0.4377358490566038,
889
+ "acc_stderr": 0.03053333843046751,
890
+ "acc_norm": 0.4377358490566038,
891
+ "acc_norm_stderr": 0.03053333843046751
892
+ },
893
+ "harness|hendrycksTest-college_biology|5": {
894
+ "acc": 0.3680555555555556,
895
+ "acc_stderr": 0.04032999053960719,
896
+ "acc_norm": 0.3680555555555556,
897
+ "acc_norm_stderr": 0.04032999053960719
898
+ },
899
+ "harness|hendrycksTest-college_chemistry|5": {
900
+ "acc": 0.34,
901
+ "acc_stderr": 0.04760952285695235,
902
+ "acc_norm": 0.34,
903
+ "acc_norm_stderr": 0.04760952285695235
904
+ },
905
+ "harness|hendrycksTest-college_computer_science|5": {
906
+ "acc": 0.35,
907
+ "acc_stderr": 0.0479372485441102,
908
+ "acc_norm": 0.35,
909
+ "acc_norm_stderr": 0.0479372485441102
910
+ },
911
+ "harness|hendrycksTest-college_mathematics|5": {
912
+ "acc": 0.29,
913
+ "acc_stderr": 0.045604802157206845,
914
+ "acc_norm": 0.29,
915
+ "acc_norm_stderr": 0.045604802157206845
916
+ },
917
+ "harness|hendrycksTest-college_medicine|5": {
918
+ "acc": 0.43352601156069365,
919
+ "acc_stderr": 0.03778621079092055,
920
+ "acc_norm": 0.43352601156069365,
921
+ "acc_norm_stderr": 0.03778621079092055
922
+ },
923
+ "harness|hendrycksTest-college_physics|5": {
924
+ "acc": 0.19607843137254902,
925
+ "acc_stderr": 0.03950581861179961,
926
+ "acc_norm": 0.19607843137254902,
927
+ "acc_norm_stderr": 0.03950581861179961
928
+ },
929
+ "harness|hendrycksTest-computer_security|5": {
930
+ "acc": 0.48,
931
+ "acc_stderr": 0.050211673156867795,
932
+ "acc_norm": 0.48,
933
+ "acc_norm_stderr": 0.050211673156867795
934
+ },
935
+ "harness|hendrycksTest-conceptual_physics|5": {
936
+ "acc": 0.3659574468085106,
937
+ "acc_stderr": 0.0314895582974553,
938
+ "acc_norm": 0.3659574468085106,
939
+ "acc_norm_stderr": 0.0314895582974553
940
+ },
941
+ "harness|hendrycksTest-econometrics|5": {
942
+ "acc": 0.2894736842105263,
943
+ "acc_stderr": 0.042663394431593935,
944
+ "acc_norm": 0.2894736842105263,
945
+ "acc_norm_stderr": 0.042663394431593935
946
+ },
947
+ "harness|hendrycksTest-electrical_engineering|5": {
948
+ "acc": 0.3931034482758621,
949
+ "acc_stderr": 0.0407032901370707,
950
+ "acc_norm": 0.3931034482758621,
951
+ "acc_norm_stderr": 0.0407032901370707
952
+ },
953
+ "harness|hendrycksTest-elementary_mathematics|5": {
954
+ "acc": 0.2698412698412698,
955
+ "acc_stderr": 0.022860838309232072,
956
+ "acc_norm": 0.2698412698412698,
957
+ "acc_norm_stderr": 0.022860838309232072
958
+ },
959
+ "harness|hendrycksTest-formal_logic|5": {
960
+ "acc": 0.30158730158730157,
961
+ "acc_stderr": 0.041049472699033945,
962
+ "acc_norm": 0.30158730158730157,
963
+ "acc_norm_stderr": 0.041049472699033945
964
+ },
965
+ "harness|hendrycksTest-global_facts|5": {
966
+ "acc": 0.34,
967
+ "acc_stderr": 0.047609522856952365,
968
+ "acc_norm": 0.34,
969
+ "acc_norm_stderr": 0.047609522856952365
970
+ },
971
+ "harness|hendrycksTest-high_school_biology|5": {
972
+ "acc": 0.4161290322580645,
973
+ "acc_stderr": 0.028040981380761547,
974
+ "acc_norm": 0.4161290322580645,
975
+ "acc_norm_stderr": 0.028040981380761547
976
+ },
977
+ "harness|hendrycksTest-high_school_chemistry|5": {
978
+ "acc": 0.2660098522167488,
979
+ "acc_stderr": 0.03108982600293753,
980
+ "acc_norm": 0.2660098522167488,
981
+ "acc_norm_stderr": 0.03108982600293753
982
+ },
983
+ "harness|hendrycksTest-high_school_computer_science|5": {
984
+ "acc": 0.37,
985
+ "acc_stderr": 0.04852365870939098,
986
+ "acc_norm": 0.37,
987
+ "acc_norm_stderr": 0.04852365870939098
988
+ },
989
+ "harness|hendrycksTest-high_school_european_history|5": {
990
+ "acc": 0.4484848484848485,
991
+ "acc_stderr": 0.038835659779569286,
992
+ "acc_norm": 0.4484848484848485,
993
+ "acc_norm_stderr": 0.038835659779569286
994
+ },
995
+ "harness|hendrycksTest-high_school_geography|5": {
996
+ "acc": 0.5454545454545454,
997
+ "acc_stderr": 0.03547601494006937,
998
+ "acc_norm": 0.5454545454545454,
999
+ "acc_norm_stderr": 0.03547601494006937
1000
+ },
1001
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1002
+ "acc": 0.48186528497409326,
1003
+ "acc_stderr": 0.03606065001832919,
1004
+ "acc_norm": 0.48186528497409326,
1005
+ "acc_norm_stderr": 0.03606065001832919
1006
+ },
1007
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1008
+ "acc": 0.35128205128205126,
1009
+ "acc_stderr": 0.024203665177902796,
1010
+ "acc_norm": 0.35128205128205126,
1011
+ "acc_norm_stderr": 0.024203665177902796
1012
+ },
1013
+ "harness|hendrycksTest-high_school_mathematics|5": {
1014
+ "acc": 0.25925925925925924,
1015
+ "acc_stderr": 0.026719240783712166,
1016
+ "acc_norm": 0.25925925925925924,
1017
+ "acc_norm_stderr": 0.026719240783712166
1018
+ },
1019
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1020
+ "acc": 0.35714285714285715,
1021
+ "acc_stderr": 0.031124619309328177,
1022
+ "acc_norm": 0.35714285714285715,
1023
+ "acc_norm_stderr": 0.031124619309328177
1024
+ },
1025
+ "harness|hendrycksTest-high_school_physics|5": {
1026
+ "acc": 0.2980132450331126,
1027
+ "acc_stderr": 0.037345356767871984,
1028
+ "acc_norm": 0.2980132450331126,
1029
+ "acc_norm_stderr": 0.037345356767871984
1030
+ },
1031
+ "harness|hendrycksTest-high_school_psychology|5": {
1032
+ "acc": 0.4972477064220184,
1033
+ "acc_stderr": 0.02143699835976532,
1034
+ "acc_norm": 0.4972477064220184,
1035
+ "acc_norm_stderr": 0.02143699835976532
1036
+ },
1037
+ "harness|hendrycksTest-high_school_statistics|5": {
1038
+ "acc": 0.3055555555555556,
1039
+ "acc_stderr": 0.03141554629402544,
1040
+ "acc_norm": 0.3055555555555556,
1041
+ "acc_norm_stderr": 0.03141554629402544
1042
+ },
1043
+ "harness|hendrycksTest-high_school_us_history|5": {
1044
+ "acc": 0.46078431372549017,
1045
+ "acc_stderr": 0.03498501649369527,
1046
+ "acc_norm": 0.46078431372549017,
1047
+ "acc_norm_stderr": 0.03498501649369527
1048
+ },
1049
+ "harness|hendrycksTest-high_school_world_history|5": {
1050
+ "acc": 0.5611814345991561,
1051
+ "acc_stderr": 0.032302649315470375,
1052
+ "acc_norm": 0.5611814345991561,
1053
+ "acc_norm_stderr": 0.032302649315470375
1054
+ },
1055
+ "harness|hendrycksTest-human_aging|5": {
1056
+ "acc": 0.4977578475336323,
1057
+ "acc_stderr": 0.033557465352232634,
1058
+ "acc_norm": 0.4977578475336323,
1059
+ "acc_norm_stderr": 0.033557465352232634
1060
+ },
1061
+ "harness|hendrycksTest-human_sexuality|5": {
1062
+ "acc": 0.46564885496183206,
1063
+ "acc_stderr": 0.04374928560599738,
1064
+ "acc_norm": 0.46564885496183206,
1065
+ "acc_norm_stderr": 0.04374928560599738
1066
+ },
1067
+ "harness|hendrycksTest-international_law|5": {
1068
+ "acc": 0.47107438016528924,
1069
+ "acc_stderr": 0.04556710331269498,
1070
+ "acc_norm": 0.47107438016528924,
1071
+ "acc_norm_stderr": 0.04556710331269498
1072
+ },
1073
+ "harness|hendrycksTest-jurisprudence|5": {
1074
+ "acc": 0.4166666666666667,
1075
+ "acc_stderr": 0.04766075165356461,
1076
+ "acc_norm": 0.4166666666666667,
1077
+ "acc_norm_stderr": 0.04766075165356461
1078
+ },
1079
+ "harness|hendrycksTest-logical_fallacies|5": {
1080
+ "acc": 0.4110429447852761,
1081
+ "acc_stderr": 0.038656978537853624,
1082
+ "acc_norm": 0.4110429447852761,
1083
+ "acc_norm_stderr": 0.038656978537853624
1084
+ },
1085
+ "harness|hendrycksTest-machine_learning|5": {
1086
+ "acc": 0.3125,
1087
+ "acc_stderr": 0.043994650575715215,
1088
+ "acc_norm": 0.3125,
1089
+ "acc_norm_stderr": 0.043994650575715215
1090
+ },
1091
+ "harness|hendrycksTest-management|5": {
1092
+ "acc": 0.5533980582524272,
1093
+ "acc_stderr": 0.04922424153458933,
1094
+ "acc_norm": 0.5533980582524272,
1095
+ "acc_norm_stderr": 0.04922424153458933
1096
+ },
1097
+ "harness|hendrycksTest-marketing|5": {
1098
+ "acc": 0.5341880341880342,
1099
+ "acc_stderr": 0.03267942734081228,
1100
+ "acc_norm": 0.5341880341880342,
1101
+ "acc_norm_stderr": 0.03267942734081228
1102
+ },
1103
+ "harness|hendrycksTest-medical_genetics|5": {
1104
+ "acc": 0.4,
1105
+ "acc_stderr": 0.049236596391733084,
1106
+ "acc_norm": 0.4,
1107
+ "acc_norm_stderr": 0.049236596391733084
1108
+ },
1109
+ "harness|hendrycksTest-miscellaneous|5": {
1110
+ "acc": 0.5261813537675607,
1111
+ "acc_stderr": 0.01785543455404199,
1112
+ "acc_norm": 0.5261813537675607,
1113
+ "acc_norm_stderr": 0.01785543455404199
1114
+ },
1115
+ "harness|hendrycksTest-moral_disputes|5": {
1116
+ "acc": 0.4277456647398844,
1117
+ "acc_stderr": 0.02663653974111608,
1118
+ "acc_norm": 0.4277456647398844,
1119
+ "acc_norm_stderr": 0.02663653974111608
1120
+ },
1121
+ "harness|hendrycksTest-moral_scenarios|5": {
1122
+ "acc": 0.25139664804469275,
1123
+ "acc_stderr": 0.014508979453553984,
1124
+ "acc_norm": 0.25139664804469275,
1125
+ "acc_norm_stderr": 0.014508979453553984
1126
+ },
1127
+ "harness|hendrycksTest-nutrition|5": {
1128
+ "acc": 0.42810457516339867,
1129
+ "acc_stderr": 0.028332397483664274,
1130
+ "acc_norm": 0.42810457516339867,
1131
+ "acc_norm_stderr": 0.028332397483664274
1132
+ },
1133
+ "harness|hendrycksTest-philosophy|5": {
1134
+ "acc": 0.40192926045016075,
1135
+ "acc_stderr": 0.027846476005930473,
1136
+ "acc_norm": 0.40192926045016075,
1137
+ "acc_norm_stderr": 0.027846476005930473
1138
+ },
1139
+ "harness|hendrycksTest-prehistory|5": {
1140
+ "acc": 0.41358024691358025,
1141
+ "acc_stderr": 0.027402042040269952,
1142
+ "acc_norm": 0.41358024691358025,
1143
+ "acc_norm_stderr": 0.027402042040269952
1144
+ },
1145
+ "harness|hendrycksTest-professional_accounting|5": {
1146
+ "acc": 0.3049645390070922,
1147
+ "acc_stderr": 0.027464708442022128,
1148
+ "acc_norm": 0.3049645390070922,
1149
+ "acc_norm_stderr": 0.027464708442022128
1150
+ },
1151
+ "harness|hendrycksTest-professional_law|5": {
1152
+ "acc": 0.30964797913950454,
1153
+ "acc_stderr": 0.01180859826250332,
1154
+ "acc_norm": 0.30964797913950454,
1155
+ "acc_norm_stderr": 0.01180859826250332
1156
+ },
1157
+ "harness|hendrycksTest-professional_medicine|5": {
1158
+ "acc": 0.3786764705882353,
1159
+ "acc_stderr": 0.029465133639776132,
1160
+ "acc_norm": 0.3786764705882353,
1161
+ "acc_norm_stderr": 0.029465133639776132
1162
+ },
1163
+ "harness|hendrycksTest-professional_psychology|5": {
1164
+ "acc": 0.36437908496732024,
1165
+ "acc_stderr": 0.019469518221573702,
1166
+ "acc_norm": 0.36437908496732024,
1167
+ "acc_norm_stderr": 0.019469518221573702
1168
+ },
1169
+ "harness|hendrycksTest-public_relations|5": {
1170
+ "acc": 0.5,
1171
+ "acc_stderr": 0.04789131426105757,
1172
+ "acc_norm": 0.5,
1173
+ "acc_norm_stderr": 0.04789131426105757
1174
+ },
1175
+ "harness|hendrycksTest-security_studies|5": {
1176
+ "acc": 0.32653061224489793,
1177
+ "acc_stderr": 0.030021056238440286,
1178
+ "acc_norm": 0.32653061224489793,
1179
+ "acc_norm_stderr": 0.030021056238440286
1180
+ },
1181
+ "harness|hendrycksTest-sociology|5": {
1182
+ "acc": 0.4527363184079602,
1183
+ "acc_stderr": 0.035197027175769155,
1184
+ "acc_norm": 0.4527363184079602,
1185
+ "acc_norm_stderr": 0.035197027175769155
1186
+ },
1187
+ "harness|hendrycksTest-us_foreign_policy|5": {
1188
+ "acc": 0.6,
1189
+ "acc_stderr": 0.049236596391733084,
1190
+ "acc_norm": 0.6,
1191
+ "acc_norm_stderr": 0.049236596391733084
1192
+ },
1193
+ "harness|hendrycksTest-virology|5": {
1194
+ "acc": 0.39156626506024095,
1195
+ "acc_stderr": 0.03799857454479636,
1196
+ "acc_norm": 0.39156626506024095,
1197
+ "acc_norm_stderr": 0.03799857454479636
1198
+ },
1199
+ "harness|hendrycksTest-world_religions|5": {
1200
+ "acc": 0.49707602339181284,
1201
+ "acc_stderr": 0.03834759370936839,
1202
+ "acc_norm": 0.49707602339181284,
1203
+ "acc_norm_stderr": 0.03834759370936839
1204
+ },
1205
+ "harness|truthfulqa:mc|0": {
1206
+ "mc1": 0.2252141982864137,
1207
+ "mc1_stderr": 0.014623240768023498,
1208
+ "mc2": 0.3795634078796446,
1209
+ "mc2_stderr": 0.014273839655133331
1210
+ },
1211
+ "harness|winogrande|5": {
1212
+ "acc": 0.6574585635359116,
1213
+ "acc_stderr": 0.013337483579075923
1214
+ },
1215
+ "harness|gsm8k|5": {
1216
+ "acc": 0.0,
1217
+ "acc_stderr": 0.0
1218
+ }
1219
+ }
1220
+ ```
1221
+
1222
+ ## Dataset Details
1223
+
1224
+ ### Dataset Description
1225
+
1226
+ <!-- Provide a longer summary of what this dataset is. -->
1227
+
1228
+
1229
+
1230
+ - **Curated by:** [More Information Needed]
1231
+ - **Funded by [optional]:** [More Information Needed]
1232
+ - **Shared by [optional]:** [More Information Needed]
1233
+ - **Language(s) (NLP):** [More Information Needed]
1234
+ - **License:** [More Information Needed]
1235
+
1236
+ ### Dataset Sources [optional]
1237
+
1238
+ <!-- Provide the basic links for the dataset. -->
1239
+
1240
+ - **Repository:** [More Information Needed]
1241
+ - **Paper [optional]:** [More Information Needed]
1242
+ - **Demo [optional]:** [More Information Needed]
1243
+
1244
+ ## Uses
1245
+
1246
+ <!-- Address questions around how the dataset is intended to be used. -->
1247
+
1248
+ ### Direct Use
1249
+
1250
+ <!-- This section describes suitable use cases for the dataset. -->
1251
+
1252
+ [More Information Needed]
1253
+
1254
+ ### Out-of-Scope Use
1255
+
1256
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1257
+
1258
+ [More Information Needed]
1259
+
1260
+ ## Dataset Structure
1261
+
1262
+ <!-- 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. -->
1263
+
1264
+ [More Information Needed]
1265
+
1266
+ ## Dataset Creation
1267
+
1268
+ ### Curation Rationale
1269
+
1270
+ <!-- Motivation for the creation of this dataset. -->
1271
+
1272
+ [More Information Needed]
1273
+
1274
+ ### Source Data
1275
+
1276
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1277
+
1278
+ #### Data Collection and Processing
1279
+
1280
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1281
+
1282
+ [More Information Needed]
1283
+
1284
+ #### Who are the source data producers?
1285
+
1286
+ <!-- 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. -->
1287
+
1288
+ [More Information Needed]
1289
+
1290
+ ### Annotations [optional]
1291
+
1292
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1293
+
1294
+ #### Annotation process
1295
+
1296
+ <!-- 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. -->
1297
+
1298
+ [More Information Needed]
1299
+
1300
+ #### Who are the annotators?
1301
+
1302
+ <!-- This section describes the people or systems who created the annotations. -->
1303
+
1304
+ [More Information Needed]
1305
+
1306
+ #### Personal and Sensitive Information
1307
+
1308
+ <!-- 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. -->
1309
+
1310
+ [More Information Needed]
1311
+
1312
+ ## Bias, Risks, and Limitations
1313
+
1314
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1315
+
1316
+ [More Information Needed]
1317
+
1318
+ ### Recommendations
1319
+
1320
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1321
+
1322
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1323
+
1324
+ ## Citation [optional]
1325
+
1326
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1327
+
1328
+ **BibTeX:**
1329
+
1330
+ [More Information Needed]
1331
+
1332
+ **APA:**
1333
+
1334
+ [More Information Needed]
1335
+
1336
+ ## Glossary [optional]
1337
+
1338
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1339
+
1340
+ [More Information Needed]
1341
+
1342
+ ## More Information [optional]
1343
+
1344
+ [More Information Needed]
1345
+
1346
+ ## Dataset Card Authors [optional]
1347
+
1348
+ [More Information Needed]
1349
+
1350
+ ## Dataset Card Contact
1351
+
1352
+ [More Information Needed]