Hugging Face's logo

Datasets:
open-llm-leaderboard-old
/
details_Josephgflowers__Tinyllama-616M-Cinder

Dataset card Files Community
SaylorTwift HF staff commited on
Commit
905944a
•
1 Parent(s): 08e7561

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +1350 -0
README.md ADDED
@@ -0,0 +1,1350 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ pretty_name: Evaluation run of Josephgflowers/Tinyllama-616M-Cinder
3
+ dataset_summary: "Dataset automatically created during the evaluation run of model\
4
+ \ [Josephgflowers/Tinyllama-616M-Cinder](https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder)\
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_Josephgflowers__Tinyllama-616M-Cinder\"\
15
+ ,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
16
+ These are the [latest results from run 2024-03-31T05:02:45.586654](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__Tinyllama-616M-Cinder/blob/main/results_2024-03-31T05-02-45.586654.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\": 0.25024089617746503,\n\
20
+ \ \"acc_stderr\": 0.030587439859005337,\n \"acc_norm\": 0.25084872224031984,\n\
21
+ \ \"acc_norm_stderr\": 0.03139528132826798,\n \"mc1\": 0.2386780905752754,\n\
22
+ \ \"mc1_stderr\": 0.014922629695456421,\n \"mc2\": 0.43410131367024446,\n\
23
+ \ \"mc2_stderr\": 0.015406538697451911\n },\n \"harness|arc:challenge|25\"\
24
+ : {\n \"acc\": 0.2431740614334471,\n \"acc_stderr\": 0.01253655414458709,\n\
25
+ \ \"acc_norm\": 0.2645051194539249,\n \"acc_norm_stderr\": 0.012889272949313368\n\
26
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.317167894841665,\n\
27
+ \ \"acc_stderr\": 0.004644223294727728,\n \"acc_norm\": 0.3639713204540928,\n\
28
+ \ \"acc_norm_stderr\": 0.004801572028920792\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
29
+ : {\n \"acc\": 0.23,\n \"acc_stderr\": 0.042295258468165044,\n \
30
+ \ \"acc_norm\": 0.23,\n \"acc_norm_stderr\": 0.042295258468165044\n \
31
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.28888888888888886,\n\
32
+ \ \"acc_stderr\": 0.03915450630414251,\n \"acc_norm\": 0.28888888888888886,\n\
33
+ \ \"acc_norm_stderr\": 0.03915450630414251\n },\n \"harness|hendrycksTest-astronomy|5\"\
34
+ : {\n \"acc\": 0.18421052631578946,\n \"acc_stderr\": 0.0315469804508223,\n\
35
+ \ \"acc_norm\": 0.18421052631578946,\n \"acc_norm_stderr\": 0.0315469804508223\n\
36
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.25,\n\
37
+ \ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.25,\n \
38
+ \ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
39
+ : {\n \"acc\": 0.2188679245283019,\n \"acc_stderr\": 0.025447863825108614,\n\
40
+ \ \"acc_norm\": 0.2188679245283019,\n \"acc_norm_stderr\": 0.025447863825108614\n\
41
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2152777777777778,\n\
42
+ \ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.2152777777777778,\n\
43
+ \ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
44
+ : {\n \"acc\": 0.2,\n \"acc_stderr\": 0.040201512610368466,\n \
45
+ \ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.040201512610368466\n \
46
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
47
+ : 0.32,\n \"acc_stderr\": 0.046882617226215034,\n \"acc_norm\": 0.32,\n\
48
+ \ \"acc_norm_stderr\": 0.046882617226215034\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
49
+ : {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \
50
+ \ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n \
51
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.27167630057803466,\n\
52
+ \ \"acc_stderr\": 0.03391750322321659,\n \"acc_norm\": 0.27167630057803466,\n\
53
+ \ \"acc_norm_stderr\": 0.03391750322321659\n },\n \"harness|hendrycksTest-college_physics|5\"\
54
+ : {\n \"acc\": 0.27450980392156865,\n \"acc_stderr\": 0.044405219061793275,\n\
55
+ \ \"acc_norm\": 0.27450980392156865,\n \"acc_norm_stderr\": 0.044405219061793275\n\
56
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
57
+ \ 0.23,\n \"acc_stderr\": 0.04229525846816505,\n \"acc_norm\": 0.23,\n\
58
+ \ \"acc_norm_stderr\": 0.04229525846816505\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
59
+ : {\n \"acc\": 0.24680851063829787,\n \"acc_stderr\": 0.0281854413012341,\n\
60
+ \ \"acc_norm\": 0.24680851063829787,\n \"acc_norm_stderr\": 0.0281854413012341\n\
61
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2543859649122807,\n\
62
+ \ \"acc_stderr\": 0.040969851398436695,\n \"acc_norm\": 0.2543859649122807,\n\
63
+ \ \"acc_norm_stderr\": 0.040969851398436695\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
64
+ : {\n \"acc\": 0.25517241379310346,\n \"acc_stderr\": 0.03632984052707842,\n\
65
+ \ \"acc_norm\": 0.25517241379310346,\n \"acc_norm_stderr\": 0.03632984052707842\n\
66
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
67
+ : 0.25396825396825395,\n \"acc_stderr\": 0.022418042891113946,\n \"\
68
+ acc_norm\": 0.25396825396825395,\n \"acc_norm_stderr\": 0.022418042891113946\n\
69
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.19047619047619047,\n\
70
+ \ \"acc_stderr\": 0.03512207412302052,\n \"acc_norm\": 0.19047619047619047,\n\
71
+ \ \"acc_norm_stderr\": 0.03512207412302052\n },\n \"harness|hendrycksTest-global_facts|5\"\
72
+ : {\n \"acc\": 0.19,\n \"acc_stderr\": 0.03942772444036624,\n \
73
+ \ \"acc_norm\": 0.19,\n \"acc_norm_stderr\": 0.03942772444036624\n \
74
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.3064516129032258,\n\
75
+ \ \"acc_stderr\": 0.026226485652553883,\n \"acc_norm\": 0.3064516129032258,\n\
76
+ \ \"acc_norm_stderr\": 0.026226485652553883\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
77
+ : {\n \"acc\": 0.2955665024630542,\n \"acc_stderr\": 0.032104944337514575,\n\
78
+ \ \"acc_norm\": 0.2955665024630542,\n \"acc_norm_stderr\": 0.032104944337514575\n\
79
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
80
+ \ \"acc\": 0.24,\n \"acc_stderr\": 0.04292346959909282,\n \"acc_norm\"\
81
+ : 0.24,\n \"acc_norm_stderr\": 0.04292346959909282\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
82
+ : {\n \"acc\": 0.2606060606060606,\n \"acc_stderr\": 0.034277431758165236,\n\
83
+ \ \"acc_norm\": 0.2606060606060606,\n \"acc_norm_stderr\": 0.034277431758165236\n\
84
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
85
+ : 0.2828282828282828,\n \"acc_stderr\": 0.03208779558786752,\n \"\
86
+ acc_norm\": 0.2828282828282828,\n \"acc_norm_stderr\": 0.03208779558786752\n\
87
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
88
+ \ \"acc\": 0.30569948186528495,\n \"acc_stderr\": 0.03324837939758159,\n\
89
+ \ \"acc_norm\": 0.30569948186528495,\n \"acc_norm_stderr\": 0.03324837939758159\n\
90
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
91
+ \ \"acc\": 0.2692307692307692,\n \"acc_stderr\": 0.02248938979365484,\n \
92
+ \ \"acc_norm\": 0.2692307692307692,\n \"acc_norm_stderr\": 0.02248938979365484\n\
93
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
94
+ acc\": 0.29259259259259257,\n \"acc_stderr\": 0.027738969632176088,\n \
95
+ \ \"acc_norm\": 0.29259259259259257,\n \"acc_norm_stderr\": 0.027738969632176088\n\
96
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
97
+ \ \"acc\": 0.24369747899159663,\n \"acc_stderr\": 0.027886828078380572,\n\
98
+ \ \"acc_norm\": 0.24369747899159663,\n \"acc_norm_stderr\": 0.027886828078380572\n\
99
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
100
+ : 0.2847682119205298,\n \"acc_stderr\": 0.03684881521389023,\n \"\
101
+ acc_norm\": 0.2847682119205298,\n \"acc_norm_stderr\": 0.03684881521389023\n\
102
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
103
+ : 0.21284403669724772,\n \"acc_stderr\": 0.017549376389313694,\n \"\
104
+ acc_norm\": 0.21284403669724772,\n \"acc_norm_stderr\": 0.017549376389313694\n\
105
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
106
+ : 0.375,\n \"acc_stderr\": 0.033016908987210894,\n \"acc_norm\": 0.375,\n\
107
+ \ \"acc_norm_stderr\": 0.033016908987210894\n },\n \"harness|hendrycksTest-high_school_us_history|5\"\
108
+ : {\n \"acc\": 0.23039215686274508,\n \"acc_stderr\": 0.029554292605695077,\n\
109
+ \ \"acc_norm\": 0.23039215686274508,\n \"acc_norm_stderr\": 0.029554292605695077\n\
110
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
111
+ acc\": 0.24472573839662448,\n \"acc_stderr\": 0.027985699387036423,\n \
112
+ \ \"acc_norm\": 0.24472573839662448,\n \"acc_norm_stderr\": 0.027985699387036423\n\
113
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.2242152466367713,\n\
114
+ \ \"acc_stderr\": 0.027991534258519527,\n \"acc_norm\": 0.2242152466367713,\n\
115
+ \ \"acc_norm_stderr\": 0.027991534258519527\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
116
+ : {\n \"acc\": 0.20610687022900764,\n \"acc_stderr\": 0.03547771004159462,\n\
117
+ \ \"acc_norm\": 0.20610687022900764,\n \"acc_norm_stderr\": 0.03547771004159462\n\
118
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
119
+ \ 0.23140495867768596,\n \"acc_stderr\": 0.03849856098794088,\n \"\
120
+ acc_norm\": 0.23140495867768596,\n \"acc_norm_stderr\": 0.03849856098794088\n\
121
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.2037037037037037,\n\
122
+ \ \"acc_stderr\": 0.03893542518824848,\n \"acc_norm\": 0.2037037037037037,\n\
123
+ \ \"acc_norm_stderr\": 0.03893542518824848\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
124
+ : {\n \"acc\": 0.22699386503067484,\n \"acc_stderr\": 0.032910995786157686,\n\
125
+ \ \"acc_norm\": 0.22699386503067484,\n \"acc_norm_stderr\": 0.032910995786157686\n\
126
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\
127
+ \ \"acc_stderr\": 0.04059867246952686,\n \"acc_norm\": 0.24107142857142858,\n\
128
+ \ \"acc_norm_stderr\": 0.04059867246952686\n },\n \"harness|hendrycksTest-management|5\"\
129
+ : {\n \"acc\": 0.20388349514563106,\n \"acc_stderr\": 0.03989139859531771,\n\
130
+ \ \"acc_norm\": 0.20388349514563106,\n \"acc_norm_stderr\": 0.03989139859531771\n\
131
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.20512820512820512,\n\
132
+ \ \"acc_stderr\": 0.02645350805404035,\n \"acc_norm\": 0.20512820512820512,\n\
133
+ \ \"acc_norm_stderr\": 0.02645350805404035\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
134
+ : {\n \"acc\": 0.33,\n \"acc_stderr\": 0.047258156262526045,\n \
135
+ \ \"acc_norm\": 0.33,\n \"acc_norm_stderr\": 0.047258156262526045\n \
136
+ \ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.26309067688378035,\n\
137
+ \ \"acc_stderr\": 0.01574549716904906,\n \"acc_norm\": 0.26309067688378035,\n\
138
+ \ \"acc_norm_stderr\": 0.01574549716904906\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
139
+ : {\n \"acc\": 0.21098265895953758,\n \"acc_stderr\": 0.021966309947043128,\n\
140
+ \ \"acc_norm\": 0.21098265895953758,\n \"acc_norm_stderr\": 0.021966309947043128\n\
141
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2446927374301676,\n\
142
+ \ \"acc_stderr\": 0.014378169884098443,\n \"acc_norm\": 0.2446927374301676,\n\
143
+ \ \"acc_norm_stderr\": 0.014378169884098443\n },\n \"harness|hendrycksTest-nutrition|5\"\
144
+ : {\n \"acc\": 0.23202614379084968,\n \"acc_stderr\": 0.024170840879341012,\n\
145
+ \ \"acc_norm\": 0.23202614379084968,\n \"acc_norm_stderr\": 0.024170840879341012\n\
146
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2090032154340836,\n\
147
+ \ \"acc_stderr\": 0.023093140398374224,\n \"acc_norm\": 0.2090032154340836,\n\
148
+ \ \"acc_norm_stderr\": 0.023093140398374224\n },\n \"harness|hendrycksTest-prehistory|5\"\
149
+ : {\n \"acc\": 0.2962962962962963,\n \"acc_stderr\": 0.025407197798890155,\n\
150
+ \ \"acc_norm\": 0.2962962962962963,\n \"acc_norm_stderr\": 0.025407197798890155\n\
151
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
152
+ acc\": 0.23049645390070922,\n \"acc_stderr\": 0.02512373922687241,\n \
153
+ \ \"acc_norm\": 0.23049645390070922,\n \"acc_norm_stderr\": 0.02512373922687241\n\
154
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.23533246414602346,\n\
155
+ \ \"acc_stderr\": 0.01083443254391221,\n \"acc_norm\": 0.23533246414602346,\n\
156
+ \ \"acc_norm_stderr\": 0.01083443254391221\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
157
+ : {\n \"acc\": 0.35294117647058826,\n \"acc_stderr\": 0.029029422815681404,\n\
158
+ \ \"acc_norm\": 0.35294117647058826,\n \"acc_norm_stderr\": 0.029029422815681404\n\
159
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
160
+ acc\": 0.22712418300653595,\n \"acc_stderr\": 0.01694985327921238,\n \
161
+ \ \"acc_norm\": 0.22712418300653595,\n \"acc_norm_stderr\": 0.01694985327921238\n\
162
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.23636363636363636,\n\
163
+ \ \"acc_stderr\": 0.040693063197213754,\n \"acc_norm\": 0.23636363636363636,\n\
164
+ \ \"acc_norm_stderr\": 0.040693063197213754\n },\n \"harness|hendrycksTest-security_studies|5\"\
165
+ : {\n \"acc\": 0.24897959183673468,\n \"acc_stderr\": 0.027682979522960234,\n\
166
+ \ \"acc_norm\": 0.24897959183673468,\n \"acc_norm_stderr\": 0.027682979522960234\n\
167
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.25870646766169153,\n\
168
+ \ \"acc_stderr\": 0.03096590312357303,\n \"acc_norm\": 0.25870646766169153,\n\
169
+ \ \"acc_norm_stderr\": 0.03096590312357303\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
170
+ : {\n \"acc\": 0.21,\n \"acc_stderr\": 0.04093601807403326,\n \
171
+ \ \"acc_norm\": 0.21,\n \"acc_norm_stderr\": 0.04093601807403326\n \
172
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.19879518072289157,\n\
173
+ \ \"acc_stderr\": 0.03106939026078942,\n \"acc_norm\": 0.19879518072289157,\n\
174
+ \ \"acc_norm_stderr\": 0.03106939026078942\n },\n \"harness|hendrycksTest-world_religions|5\"\
175
+ : {\n \"acc\": 0.24561403508771928,\n \"acc_stderr\": 0.03301405946987251,\n\
176
+ \ \"acc_norm\": 0.24561403508771928,\n \"acc_norm_stderr\": 0.03301405946987251\n\
177
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2386780905752754,\n\
178
+ \ \"mc1_stderr\": 0.014922629695456421,\n \"mc2\": 0.43410131367024446,\n\
179
+ \ \"mc2_stderr\": 0.015406538697451911\n },\n \"harness|winogrande|5\"\
180
+ : {\n \"acc\": 0.5327545382794001,\n \"acc_stderr\": 0.014022300570434139\n\
181
+ \ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.0,\n \"acc_stderr\"\
182
+ : 0.0\n }\n}\n```"
183
+ repo_url: https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder
184
+ leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
185
+ point_of_contact: clementine@hf.co
186
+ configs:
187
+ - config_name: harness_arc_challenge_25
188
+ data_files:
189
+ - split: 2024_03_31T05_02_45.586654
190
+ path:
191
+ - '**/details_harness|arc:challenge|25_2024-03-31T05-02-45.586654.parquet'
192
+ - split: latest
193
+ path:
194
+ - '**/details_harness|arc:challenge|25_2024-03-31T05-02-45.586654.parquet'
195
+ - config_name: harness_gsm8k_5
196
+ data_files:
197
+ - split: 2024_03_31T05_02_45.586654
198
+ path:
199
+ - '**/details_harness|gsm8k|5_2024-03-31T05-02-45.586654.parquet'
200
+ - split: latest
201
+ path:
202
+ - '**/details_harness|gsm8k|5_2024-03-31T05-02-45.586654.parquet'
203
+ - config_name: harness_hellaswag_10
204
+ data_files:
205
+ - split: 2024_03_31T05_02_45.586654
206
+ path:
207
+ - '**/details_harness|hellaswag|10_2024-03-31T05-02-45.586654.parquet'
208
+ - split: latest
209
+ path:
210
+ - '**/details_harness|hellaswag|10_2024-03-31T05-02-45.586654.parquet'
211
+ - config_name: harness_hendrycksTest_5
212
+ data_files:
213
+ - split: 2024_03_31T05_02_45.586654
214
+ path:
215
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-31T05-02-45.586654.parquet'
216
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-31T05-02-45.586654.parquet'
217
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-31T05-02-45.586654.parquet'
218
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-31T05-02-45.586654.parquet'
219
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-31T05-02-45.586654.parquet'
220
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-31T05-02-45.586654.parquet'
221
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-31T05-02-45.586654.parquet'
222
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-31T05-02-45.586654.parquet'
223
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-31T05-02-45.586654.parquet'
224
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-31T05-02-45.586654.parquet'
225
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-31T05-02-45.586654.parquet'
226
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-31T05-02-45.586654.parquet'
227
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-31T05-02-45.586654.parquet'
228
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-31T05-02-45.586654.parquet'
229
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-31T05-02-45.586654.parquet'
230
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-31T05-02-45.586654.parquet'
231
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-31T05-02-45.586654.parquet'
232
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-31T05-02-45.586654.parquet'
233
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-31T05-02-45.586654.parquet'
234
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-31T05-02-45.586654.parquet'
235
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-31T05-02-45.586654.parquet'
236
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-31T05-02-45.586654.parquet'
237
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-31T05-02-45.586654.parquet'
238
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-31T05-02-45.586654.parquet'
239
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-31T05-02-45.586654.parquet'
240
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-31T05-02-45.586654.parquet'
241
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-31T05-02-45.586654.parquet'
242
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-31T05-02-45.586654.parquet'
243
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-31T05-02-45.586654.parquet'
244
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-31T05-02-45.586654.parquet'
245
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-31T05-02-45.586654.parquet'
246
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-31T05-02-45.586654.parquet'
247
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-31T05-02-45.586654.parquet'
248
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-31T05-02-45.586654.parquet'
249
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-31T05-02-45.586654.parquet'
250
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-31T05-02-45.586654.parquet'
251
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-31T05-02-45.586654.parquet'
252
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-31T05-02-45.586654.parquet'
253
+ - '**/details_harness|hendrycksTest-management|5_2024-03-31T05-02-45.586654.parquet'
254
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-31T05-02-45.586654.parquet'
255
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-31T05-02-45.586654.parquet'
256
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-31T05-02-45.586654.parquet'
257
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-31T05-02-45.586654.parquet'
258
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-31T05-02-45.586654.parquet'
259
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-31T05-02-45.586654.parquet'
260
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-31T05-02-45.586654.parquet'
261
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-31T05-02-45.586654.parquet'
262
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-31T05-02-45.586654.parquet'
263
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-31T05-02-45.586654.parquet'
264
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-31T05-02-45.586654.parquet'
265
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-31T05-02-45.586654.parquet'
266
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-31T05-02-45.586654.parquet'
267
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-31T05-02-45.586654.parquet'
268
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-31T05-02-45.586654.parquet'
269
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-31T05-02-45.586654.parquet'
270
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-31T05-02-45.586654.parquet'
271
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-31T05-02-45.586654.parquet'
272
+ - split: latest
273
+ path:
274
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-31T05-02-45.586654.parquet'
275
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-31T05-02-45.586654.parquet'
276
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-31T05-02-45.586654.parquet'
277
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-31T05-02-45.586654.parquet'
278
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-31T05-02-45.586654.parquet'
279
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-31T05-02-45.586654.parquet'
280
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-31T05-02-45.586654.parquet'
281
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-31T05-02-45.586654.parquet'
282
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-31T05-02-45.586654.parquet'
283
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-31T05-02-45.586654.parquet'
284
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-31T05-02-45.586654.parquet'
285
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-31T05-02-45.586654.parquet'
286
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-31T05-02-45.586654.parquet'
287
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-31T05-02-45.586654.parquet'
288
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-31T05-02-45.586654.parquet'
289
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-31T05-02-45.586654.parquet'
290
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-31T05-02-45.586654.parquet'
291
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-31T05-02-45.586654.parquet'
292
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-31T05-02-45.586654.parquet'
293
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-31T05-02-45.586654.parquet'
294
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-31T05-02-45.586654.parquet'
295
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-31T05-02-45.586654.parquet'
296
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-31T05-02-45.586654.parquet'
297
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-31T05-02-45.586654.parquet'
298
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-31T05-02-45.586654.parquet'
299
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-31T05-02-45.586654.parquet'
300
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-31T05-02-45.586654.parquet'
301
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-31T05-02-45.586654.parquet'
302
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-31T05-02-45.586654.parquet'
303
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-31T05-02-45.586654.parquet'
304
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-31T05-02-45.586654.parquet'
305
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-31T05-02-45.586654.parquet'
306
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-31T05-02-45.586654.parquet'
307
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-31T05-02-45.586654.parquet'
308
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-31T05-02-45.586654.parquet'
309
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-31T05-02-45.586654.parquet'
310
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-31T05-02-45.586654.parquet'
311
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-31T05-02-45.586654.parquet'
312
+ - '**/details_harness|hendrycksTest-management|5_2024-03-31T05-02-45.586654.parquet'
313
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-31T05-02-45.586654.parquet'
314
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-31T05-02-45.586654.parquet'
315
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-31T05-02-45.586654.parquet'
316
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-31T05-02-45.586654.parquet'
317
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-31T05-02-45.586654.parquet'
318
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-31T05-02-45.586654.parquet'
319
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-31T05-02-45.586654.parquet'
320
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-31T05-02-45.586654.parquet'
321
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-31T05-02-45.586654.parquet'
322
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-31T05-02-45.586654.parquet'
323
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-31T05-02-45.586654.parquet'
324
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-31T05-02-45.586654.parquet'
325
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-31T05-02-45.586654.parquet'
326
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-31T05-02-45.586654.parquet'
327
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-31T05-02-45.586654.parquet'
328
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-31T05-02-45.586654.parquet'
329
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-31T05-02-45.586654.parquet'
330
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-31T05-02-45.586654.parquet'
331
+ - config_name: harness_hendrycksTest_abstract_algebra_5
332
+ data_files:
333
+ - split: 2024_03_31T05_02_45.586654
334
+ path:
335
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-31T05-02-45.586654.parquet'
336
+ - split: latest
337
+ path:
338
+ - '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-31T05-02-45.586654.parquet'
339
+ - config_name: harness_hendrycksTest_anatomy_5
340
+ data_files:
341
+ - split: 2024_03_31T05_02_45.586654
342
+ path:
343
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-31T05-02-45.586654.parquet'
344
+ - split: latest
345
+ path:
346
+ - '**/details_harness|hendrycksTest-anatomy|5_2024-03-31T05-02-45.586654.parquet'
347
+ - config_name: harness_hendrycksTest_astronomy_5
348
+ data_files:
349
+ - split: 2024_03_31T05_02_45.586654
350
+ path:
351
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-31T05-02-45.586654.parquet'
352
+ - split: latest
353
+ path:
354
+ - '**/details_harness|hendrycksTest-astronomy|5_2024-03-31T05-02-45.586654.parquet'
355
+ - config_name: harness_hendrycksTest_business_ethics_5
356
+ data_files:
357
+ - split: 2024_03_31T05_02_45.586654
358
+ path:
359
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-31T05-02-45.586654.parquet'
360
+ - split: latest
361
+ path:
362
+ - '**/details_harness|hendrycksTest-business_ethics|5_2024-03-31T05-02-45.586654.parquet'
363
+ - config_name: harness_hendrycksTest_clinical_knowledge_5
364
+ data_files:
365
+ - split: 2024_03_31T05_02_45.586654
366
+ path:
367
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-31T05-02-45.586654.parquet'
368
+ - split: latest
369
+ path:
370
+ - '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-31T05-02-45.586654.parquet'
371
+ - config_name: harness_hendrycksTest_college_biology_5
372
+ data_files:
373
+ - split: 2024_03_31T05_02_45.586654
374
+ path:
375
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-31T05-02-45.586654.parquet'
376
+ - split: latest
377
+ path:
378
+ - '**/details_harness|hendrycksTest-college_biology|5_2024-03-31T05-02-45.586654.parquet'
379
+ - config_name: harness_hendrycksTest_college_chemistry_5
380
+ data_files:
381
+ - split: 2024_03_31T05_02_45.586654
382
+ path:
383
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-31T05-02-45.586654.parquet'
384
+ - split: latest
385
+ path:
386
+ - '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-31T05-02-45.586654.parquet'
387
+ - config_name: harness_hendrycksTest_college_computer_science_5
388
+ data_files:
389
+ - split: 2024_03_31T05_02_45.586654
390
+ path:
391
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-31T05-02-45.586654.parquet'
392
+ - split: latest
393
+ path:
394
+ - '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-31T05-02-45.586654.parquet'
395
+ - config_name: harness_hendrycksTest_college_mathematics_5
396
+ data_files:
397
+ - split: 2024_03_31T05_02_45.586654
398
+ path:
399
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-31T05-02-45.586654.parquet'
400
+ - split: latest
401
+ path:
402
+ - '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-31T05-02-45.586654.parquet'
403
+ - config_name: harness_hendrycksTest_college_medicine_5
404
+ data_files:
405
+ - split: 2024_03_31T05_02_45.586654
406
+ path:
407
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-31T05-02-45.586654.parquet'
408
+ - split: latest
409
+ path:
410
+ - '**/details_harness|hendrycksTest-college_medicine|5_2024-03-31T05-02-45.586654.parquet'
411
+ - config_name: harness_hendrycksTest_college_physics_5
412
+ data_files:
413
+ - split: 2024_03_31T05_02_45.586654
414
+ path:
415
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-31T05-02-45.586654.parquet'
416
+ - split: latest
417
+ path:
418
+ - '**/details_harness|hendrycksTest-college_physics|5_2024-03-31T05-02-45.586654.parquet'
419
+ - config_name: harness_hendrycksTest_computer_security_5
420
+ data_files:
421
+ - split: 2024_03_31T05_02_45.586654
422
+ path:
423
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-31T05-02-45.586654.parquet'
424
+ - split: latest
425
+ path:
426
+ - '**/details_harness|hendrycksTest-computer_security|5_2024-03-31T05-02-45.586654.parquet'
427
+ - config_name: harness_hendrycksTest_conceptual_physics_5
428
+ data_files:
429
+ - split: 2024_03_31T05_02_45.586654
430
+ path:
431
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-31T05-02-45.586654.parquet'
432
+ - split: latest
433
+ path:
434
+ - '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-31T05-02-45.586654.parquet'
435
+ - config_name: harness_hendrycksTest_econometrics_5
436
+ data_files:
437
+ - split: 2024_03_31T05_02_45.586654
438
+ path:
439
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-31T05-02-45.586654.parquet'
440
+ - split: latest
441
+ path:
442
+ - '**/details_harness|hendrycksTest-econometrics|5_2024-03-31T05-02-45.586654.parquet'
443
+ - config_name: harness_hendrycksTest_electrical_engineering_5
444
+ data_files:
445
+ - split: 2024_03_31T05_02_45.586654
446
+ path:
447
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-31T05-02-45.586654.parquet'
448
+ - split: latest
449
+ path:
450
+ - '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-31T05-02-45.586654.parquet'
451
+ - config_name: harness_hendrycksTest_elementary_mathematics_5
452
+ data_files:
453
+ - split: 2024_03_31T05_02_45.586654
454
+ path:
455
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-31T05-02-45.586654.parquet'
456
+ - split: latest
457
+ path:
458
+ - '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-31T05-02-45.586654.parquet'
459
+ - config_name: harness_hendrycksTest_formal_logic_5
460
+ data_files:
461
+ - split: 2024_03_31T05_02_45.586654
462
+ path:
463
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-31T05-02-45.586654.parquet'
464
+ - split: latest
465
+ path:
466
+ - '**/details_harness|hendrycksTest-formal_logic|5_2024-03-31T05-02-45.586654.parquet'
467
+ - config_name: harness_hendrycksTest_global_facts_5
468
+ data_files:
469
+ - split: 2024_03_31T05_02_45.586654
470
+ path:
471
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-31T05-02-45.586654.parquet'
472
+ - split: latest
473
+ path:
474
+ - '**/details_harness|hendrycksTest-global_facts|5_2024-03-31T05-02-45.586654.parquet'
475
+ - config_name: harness_hendrycksTest_high_school_biology_5
476
+ data_files:
477
+ - split: 2024_03_31T05_02_45.586654
478
+ path:
479
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-31T05-02-45.586654.parquet'
480
+ - split: latest
481
+ path:
482
+ - '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-31T05-02-45.586654.parquet'
483
+ - config_name: harness_hendrycksTest_high_school_chemistry_5
484
+ data_files:
485
+ - split: 2024_03_31T05_02_45.586654
486
+ path:
487
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-31T05-02-45.586654.parquet'
488
+ - split: latest
489
+ path:
490
+ - '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-31T05-02-45.586654.parquet'
491
+ - config_name: harness_hendrycksTest_high_school_computer_science_5
492
+ data_files:
493
+ - split: 2024_03_31T05_02_45.586654
494
+ path:
495
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-31T05-02-45.586654.parquet'
496
+ - split: latest
497
+ path:
498
+ - '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-31T05-02-45.586654.parquet'
499
+ - config_name: harness_hendrycksTest_high_school_european_history_5
500
+ data_files:
501
+ - split: 2024_03_31T05_02_45.586654
502
+ path:
503
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-31T05-02-45.586654.parquet'
504
+ - split: latest
505
+ path:
506
+ - '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-31T05-02-45.586654.parquet'
507
+ - config_name: harness_hendrycksTest_high_school_geography_5
508
+ data_files:
509
+ - split: 2024_03_31T05_02_45.586654
510
+ path:
511
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-31T05-02-45.586654.parquet'
512
+ - split: latest
513
+ path:
514
+ - '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-31T05-02-45.586654.parquet'
515
+ - config_name: harness_hendrycksTest_high_school_government_and_politics_5
516
+ data_files:
517
+ - split: 2024_03_31T05_02_45.586654
518
+ path:
519
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-31T05-02-45.586654.parquet'
520
+ - split: latest
521
+ path:
522
+ - '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-31T05-02-45.586654.parquet'
523
+ - config_name: harness_hendrycksTest_high_school_macroeconomics_5
524
+ data_files:
525
+ - split: 2024_03_31T05_02_45.586654
526
+ path:
527
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-31T05-02-45.586654.parquet'
528
+ - split: latest
529
+ path:
530
+ - '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-31T05-02-45.586654.parquet'
531
+ - config_name: harness_hendrycksTest_high_school_mathematics_5
532
+ data_files:
533
+ - split: 2024_03_31T05_02_45.586654
534
+ path:
535
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-31T05-02-45.586654.parquet'
536
+ - split: latest
537
+ path:
538
+ - '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-31T05-02-45.586654.parquet'
539
+ - config_name: harness_hendrycksTest_high_school_microeconomics_5
540
+ data_files:
541
+ - split: 2024_03_31T05_02_45.586654
542
+ path:
543
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-31T05-02-45.586654.parquet'
544
+ - split: latest
545
+ path:
546
+ - '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-31T05-02-45.586654.parquet'
547
+ - config_name: harness_hendrycksTest_high_school_physics_5
548
+ data_files:
549
+ - split: 2024_03_31T05_02_45.586654
550
+ path:
551
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-31T05-02-45.586654.parquet'
552
+ - split: latest
553
+ path:
554
+ - '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-31T05-02-45.586654.parquet'
555
+ - config_name: harness_hendrycksTest_high_school_psychology_5
556
+ data_files:
557
+ - split: 2024_03_31T05_02_45.586654
558
+ path:
559
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-31T05-02-45.586654.parquet'
560
+ - split: latest
561
+ path:
562
+ - '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-31T05-02-45.586654.parquet'
563
+ - config_name: harness_hendrycksTest_high_school_statistics_5
564
+ data_files:
565
+ - split: 2024_03_31T05_02_45.586654
566
+ path:
567
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-31T05-02-45.586654.parquet'
568
+ - split: latest
569
+ path:
570
+ - '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-31T05-02-45.586654.parquet'
571
+ - config_name: harness_hendrycksTest_high_school_us_history_5
572
+ data_files:
573
+ - split: 2024_03_31T05_02_45.586654
574
+ path:
575
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-31T05-02-45.586654.parquet'
576
+ - split: latest
577
+ path:
578
+ - '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-31T05-02-45.586654.parquet'
579
+ - config_name: harness_hendrycksTest_high_school_world_history_5
580
+ data_files:
581
+ - split: 2024_03_31T05_02_45.586654
582
+ path:
583
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-31T05-02-45.586654.parquet'
584
+ - split: latest
585
+ path:
586
+ - '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-31T05-02-45.586654.parquet'
587
+ - config_name: harness_hendrycksTest_human_aging_5
588
+ data_files:
589
+ - split: 2024_03_31T05_02_45.586654
590
+ path:
591
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-31T05-02-45.586654.parquet'
592
+ - split: latest
593
+ path:
594
+ - '**/details_harness|hendrycksTest-human_aging|5_2024-03-31T05-02-45.586654.parquet'
595
+ - config_name: harness_hendrycksTest_human_sexuality_5
596
+ data_files:
597
+ - split: 2024_03_31T05_02_45.586654
598
+ path:
599
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-31T05-02-45.586654.parquet'
600
+ - split: latest
601
+ path:
602
+ - '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-31T05-02-45.586654.parquet'
603
+ - config_name: harness_hendrycksTest_international_law_5
604
+ data_files:
605
+ - split: 2024_03_31T05_02_45.586654
606
+ path:
607
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-31T05-02-45.586654.parquet'
608
+ - split: latest
609
+ path:
610
+ - '**/details_harness|hendrycksTest-international_law|5_2024-03-31T05-02-45.586654.parquet'
611
+ - config_name: harness_hendrycksTest_jurisprudence_5
612
+ data_files:
613
+ - split: 2024_03_31T05_02_45.586654
614
+ path:
615
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-31T05-02-45.586654.parquet'
616
+ - split: latest
617
+ path:
618
+ - '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-31T05-02-45.586654.parquet'
619
+ - config_name: harness_hendrycksTest_logical_fallacies_5
620
+ data_files:
621
+ - split: 2024_03_31T05_02_45.586654
622
+ path:
623
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-31T05-02-45.586654.parquet'
624
+ - split: latest
625
+ path:
626
+ - '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-31T05-02-45.586654.parquet'
627
+ - config_name: harness_hendrycksTest_machine_learning_5
628
+ data_files:
629
+ - split: 2024_03_31T05_02_45.586654
630
+ path:
631
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-31T05-02-45.586654.parquet'
632
+ - split: latest
633
+ path:
634
+ - '**/details_harness|hendrycksTest-machine_learning|5_2024-03-31T05-02-45.586654.parquet'
635
+ - config_name: harness_hendrycksTest_management_5
636
+ data_files:
637
+ - split: 2024_03_31T05_02_45.586654
638
+ path:
639
+ - '**/details_harness|hendrycksTest-management|5_2024-03-31T05-02-45.586654.parquet'
640
+ - split: latest
641
+ path:
642
+ - '**/details_harness|hendrycksTest-management|5_2024-03-31T05-02-45.586654.parquet'
643
+ - config_name: harness_hendrycksTest_marketing_5
644
+ data_files:
645
+ - split: 2024_03_31T05_02_45.586654
646
+ path:
647
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-31T05-02-45.586654.parquet'
648
+ - split: latest
649
+ path:
650
+ - '**/details_harness|hendrycksTest-marketing|5_2024-03-31T05-02-45.586654.parquet'
651
+ - config_name: harness_hendrycksTest_medical_genetics_5
652
+ data_files:
653
+ - split: 2024_03_31T05_02_45.586654
654
+ path:
655
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-31T05-02-45.586654.parquet'
656
+ - split: latest
657
+ path:
658
+ - '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-31T05-02-45.586654.parquet'
659
+ - config_name: harness_hendrycksTest_miscellaneous_5
660
+ data_files:
661
+ - split: 2024_03_31T05_02_45.586654
662
+ path:
663
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-31T05-02-45.586654.parquet'
664
+ - split: latest
665
+ path:
666
+ - '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-31T05-02-45.586654.parquet'
667
+ - config_name: harness_hendrycksTest_moral_disputes_5
668
+ data_files:
669
+ - split: 2024_03_31T05_02_45.586654
670
+ path:
671
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-31T05-02-45.586654.parquet'
672
+ - split: latest
673
+ path:
674
+ - '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-31T05-02-45.586654.parquet'
675
+ - config_name: harness_hendrycksTest_moral_scenarios_5
676
+ data_files:
677
+ - split: 2024_03_31T05_02_45.586654
678
+ path:
679
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-31T05-02-45.586654.parquet'
680
+ - split: latest
681
+ path:
682
+ - '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-31T05-02-45.586654.parquet'
683
+ - config_name: harness_hendrycksTest_nutrition_5
684
+ data_files:
685
+ - split: 2024_03_31T05_02_45.586654
686
+ path:
687
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-31T05-02-45.586654.parquet'
688
+ - split: latest
689
+ path:
690
+ - '**/details_harness|hendrycksTest-nutrition|5_2024-03-31T05-02-45.586654.parquet'
691
+ - config_name: harness_hendrycksTest_philosophy_5
692
+ data_files:
693
+ - split: 2024_03_31T05_02_45.586654
694
+ path:
695
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-31T05-02-45.586654.parquet'
696
+ - split: latest
697
+ path:
698
+ - '**/details_harness|hendrycksTest-philosophy|5_2024-03-31T05-02-45.586654.parquet'
699
+ - config_name: harness_hendrycksTest_prehistory_5
700
+ data_files:
701
+ - split: 2024_03_31T05_02_45.586654
702
+ path:
703
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-31T05-02-45.586654.parquet'
704
+ - split: latest
705
+ path:
706
+ - '**/details_harness|hendrycksTest-prehistory|5_2024-03-31T05-02-45.586654.parquet'
707
+ - config_name: harness_hendrycksTest_professional_accounting_5
708
+ data_files:
709
+ - split: 2024_03_31T05_02_45.586654
710
+ path:
711
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-31T05-02-45.586654.parquet'
712
+ - split: latest
713
+ path:
714
+ - '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-31T05-02-45.586654.parquet'
715
+ - config_name: harness_hendrycksTest_professional_law_5
716
+ data_files:
717
+ - split: 2024_03_31T05_02_45.586654
718
+ path:
719
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-31T05-02-45.586654.parquet'
720
+ - split: latest
721
+ path:
722
+ - '**/details_harness|hendrycksTest-professional_law|5_2024-03-31T05-02-45.586654.parquet'
723
+ - config_name: harness_hendrycksTest_professional_medicine_5
724
+ data_files:
725
+ - split: 2024_03_31T05_02_45.586654
726
+ path:
727
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-31T05-02-45.586654.parquet'
728
+ - split: latest
729
+ path:
730
+ - '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-31T05-02-45.586654.parquet'
731
+ - config_name: harness_hendrycksTest_professional_psychology_5
732
+ data_files:
733
+ - split: 2024_03_31T05_02_45.586654
734
+ path:
735
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-31T05-02-45.586654.parquet'
736
+ - split: latest
737
+ path:
738
+ - '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-31T05-02-45.586654.parquet'
739
+ - config_name: harness_hendrycksTest_public_relations_5
740
+ data_files:
741
+ - split: 2024_03_31T05_02_45.586654
742
+ path:
743
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-31T05-02-45.586654.parquet'
744
+ - split: latest
745
+ path:
746
+ - '**/details_harness|hendrycksTest-public_relations|5_2024-03-31T05-02-45.586654.parquet'
747
+ - config_name: harness_hendrycksTest_security_studies_5
748
+ data_files:
749
+ - split: 2024_03_31T05_02_45.586654
750
+ path:
751
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-31T05-02-45.586654.parquet'
752
+ - split: latest
753
+ path:
754
+ - '**/details_harness|hendrycksTest-security_studies|5_2024-03-31T05-02-45.586654.parquet'
755
+ - config_name: harness_hendrycksTest_sociology_5
756
+ data_files:
757
+ - split: 2024_03_31T05_02_45.586654
758
+ path:
759
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-31T05-02-45.586654.parquet'
760
+ - split: latest
761
+ path:
762
+ - '**/details_harness|hendrycksTest-sociology|5_2024-03-31T05-02-45.586654.parquet'
763
+ - config_name: harness_hendrycksTest_us_foreign_policy_5
764
+ data_files:
765
+ - split: 2024_03_31T05_02_45.586654
766
+ path:
767
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-31T05-02-45.586654.parquet'
768
+ - split: latest
769
+ path:
770
+ - '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-31T05-02-45.586654.parquet'
771
+ - config_name: harness_hendrycksTest_virology_5
772
+ data_files:
773
+ - split: 2024_03_31T05_02_45.586654
774
+ path:
775
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-31T05-02-45.586654.parquet'
776
+ - split: latest
777
+ path:
778
+ - '**/details_harness|hendrycksTest-virology|5_2024-03-31T05-02-45.586654.parquet'
779
+ - config_name: harness_hendrycksTest_world_religions_5
780
+ data_files:
781
+ - split: 2024_03_31T05_02_45.586654
782
+ path:
783
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-31T05-02-45.586654.parquet'
784
+ - split: latest
785
+ path:
786
+ - '**/details_harness|hendrycksTest-world_religions|5_2024-03-31T05-02-45.586654.parquet'
787
+ - config_name: harness_truthfulqa_mc_0
788
+ data_files:
789
+ - split: 2024_03_31T05_02_45.586654
790
+ path:
791
+ - '**/details_harness|truthfulqa:mc|0_2024-03-31T05-02-45.586654.parquet'
792
+ - split: latest
793
+ path:
794
+ - '**/details_harness|truthfulqa:mc|0_2024-03-31T05-02-45.586654.parquet'
795
+ - config_name: harness_winogrande_5
796
+ data_files:
797
+ - split: 2024_03_31T05_02_45.586654
798
+ path:
799
+ - '**/details_harness|winogrande|5_2024-03-31T05-02-45.586654.parquet'
800
+ - split: latest
801
+ path:
802
+ - '**/details_harness|winogrande|5_2024-03-31T05-02-45.586654.parquet'
803
+ - config_name: results
804
+ data_files:
805
+ - split: 2024_03_31T05_02_45.586654
806
+ path:
807
+ - results_2024-03-31T05-02-45.586654.parquet
808
+ - split: latest
809
+ path:
810
+ - results_2024-03-31T05-02-45.586654.parquet
811
+ ---
812
+
813
+ # Dataset Card for Evaluation run of Josephgflowers/Tinyllama-616M-Cinder
814
+
815
+ <!-- Provide a quick summary of the dataset. -->
816
+
817
+ Dataset automatically created during the evaluation run of model [Josephgflowers/Tinyllama-616M-Cinder](https://huggingface.co/Josephgflowers/Tinyllama-616M-Cinder) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
818
+
819
+ The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
820
+
821
+ 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.
822
+
823
+ 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)).
824
+
825
+ To load the details from a run, you can for instance do the following:
826
+ ```python
827
+ from datasets import load_dataset
828
+ data = load_dataset("open-llm-leaderboard/details_Josephgflowers__Tinyllama-616M-Cinder",
829
+ "harness_winogrande_5",
830
+ split="train")
831
+ ```
832
+
833
+ ## Latest results
834
+
835
+ These are the [latest results from run 2024-03-31T05:02:45.586654](https://huggingface.co/datasets/open-llm-leaderboard/details_Josephgflowers__Tinyllama-616M-Cinder/blob/main/results_2024-03-31T05-02-45.586654.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):
836
+
837
+ ```python
838
+ {
839
+ "all": {
840
+ "acc": 0.25024089617746503,
841
+ "acc_stderr": 0.030587439859005337,
842
+ "acc_norm": 0.25084872224031984,
843
+ "acc_norm_stderr": 0.03139528132826798,
844
+ "mc1": 0.2386780905752754,
845
+ "mc1_stderr": 0.014922629695456421,
846
+ "mc2": 0.43410131367024446,
847
+ "mc2_stderr": 0.015406538697451911
848
+ },
849
+ "harness|arc:challenge|25": {
850
+ "acc": 0.2431740614334471,
851
+ "acc_stderr": 0.01253655414458709,
852
+ "acc_norm": 0.2645051194539249,
853
+ "acc_norm_stderr": 0.012889272949313368
854
+ },
855
+ "harness|hellaswag|10": {
856
+ "acc": 0.317167894841665,
857
+ "acc_stderr": 0.004644223294727728,
858
+ "acc_norm": 0.3639713204540928,
859
+ "acc_norm_stderr": 0.004801572028920792
860
+ },
861
+ "harness|hendrycksTest-abstract_algebra|5": {
862
+ "acc": 0.23,
863
+ "acc_stderr": 0.042295258468165044,
864
+ "acc_norm": 0.23,
865
+ "acc_norm_stderr": 0.042295258468165044
866
+ },
867
+ "harness|hendrycksTest-anatomy|5": {
868
+ "acc": 0.28888888888888886,
869
+ "acc_stderr": 0.03915450630414251,
870
+ "acc_norm": 0.28888888888888886,
871
+ "acc_norm_stderr": 0.03915450630414251
872
+ },
873
+ "harness|hendrycksTest-astronomy|5": {
874
+ "acc": 0.18421052631578946,
875
+ "acc_stderr": 0.0315469804508223,
876
+ "acc_norm": 0.18421052631578946,
877
+ "acc_norm_stderr": 0.0315469804508223
878
+ },
879
+ "harness|hendrycksTest-business_ethics|5": {
880
+ "acc": 0.25,
881
+ "acc_stderr": 0.04351941398892446,
882
+ "acc_norm": 0.25,
883
+ "acc_norm_stderr": 0.04351941398892446
884
+ },
885
+ "harness|hendrycksTest-clinical_knowledge|5": {
886
+ "acc": 0.2188679245283019,
887
+ "acc_stderr": 0.025447863825108614,
888
+ "acc_norm": 0.2188679245283019,
889
+ "acc_norm_stderr": 0.025447863825108614
890
+ },
891
+ "harness|hendrycksTest-college_biology|5": {
892
+ "acc": 0.2152777777777778,
893
+ "acc_stderr": 0.034370793441061344,
894
+ "acc_norm": 0.2152777777777778,
895
+ "acc_norm_stderr": 0.034370793441061344
896
+ },
897
+ "harness|hendrycksTest-college_chemistry|5": {
898
+ "acc": 0.2,
899
+ "acc_stderr": 0.040201512610368466,
900
+ "acc_norm": 0.2,
901
+ "acc_norm_stderr": 0.040201512610368466
902
+ },
903
+ "harness|hendrycksTest-college_computer_science|5": {
904
+ "acc": 0.32,
905
+ "acc_stderr": 0.046882617226215034,
906
+ "acc_norm": 0.32,
907
+ "acc_norm_stderr": 0.046882617226215034
908
+ },
909
+ "harness|hendrycksTest-college_mathematics|5": {
910
+ "acc": 0.28,
911
+ "acc_stderr": 0.04512608598542128,
912
+ "acc_norm": 0.28,
913
+ "acc_norm_stderr": 0.04512608598542128
914
+ },
915
+ "harness|hendrycksTest-college_medicine|5": {
916
+ "acc": 0.27167630057803466,
917
+ "acc_stderr": 0.03391750322321659,
918
+ "acc_norm": 0.27167630057803466,
919
+ "acc_norm_stderr": 0.03391750322321659
920
+ },
921
+ "harness|hendrycksTest-college_physics|5": {
922
+ "acc": 0.27450980392156865,
923
+ "acc_stderr": 0.044405219061793275,
924
+ "acc_norm": 0.27450980392156865,
925
+ "acc_norm_stderr": 0.044405219061793275
926
+ },
927
+ "harness|hendrycksTest-computer_security|5": {
928
+ "acc": 0.23,
929
+ "acc_stderr": 0.04229525846816505,
930
+ "acc_norm": 0.23,
931
+ "acc_norm_stderr": 0.04229525846816505
932
+ },
933
+ "harness|hendrycksTest-conceptual_physics|5": {
934
+ "acc": 0.24680851063829787,
935
+ "acc_stderr": 0.0281854413012341,
936
+ "acc_norm": 0.24680851063829787,
937
+ "acc_norm_stderr": 0.0281854413012341
938
+ },
939
+ "harness|hendrycksTest-econometrics|5": {
940
+ "acc": 0.2543859649122807,
941
+ "acc_stderr": 0.040969851398436695,
942
+ "acc_norm": 0.2543859649122807,
943
+ "acc_norm_stderr": 0.040969851398436695
944
+ },
945
+ "harness|hendrycksTest-electrical_engineering|5": {
946
+ "acc": 0.25517241379310346,
947
+ "acc_stderr": 0.03632984052707842,
948
+ "acc_norm": 0.25517241379310346,
949
+ "acc_norm_stderr": 0.03632984052707842
950
+ },
951
+ "harness|hendrycksTest-elementary_mathematics|5": {
952
+ "acc": 0.25396825396825395,
953
+ "acc_stderr": 0.022418042891113946,
954
+ "acc_norm": 0.25396825396825395,
955
+ "acc_norm_stderr": 0.022418042891113946
956
+ },
957
+ "harness|hendrycksTest-formal_logic|5": {
958
+ "acc": 0.19047619047619047,
959
+ "acc_stderr": 0.03512207412302052,
960
+ "acc_norm": 0.19047619047619047,
961
+ "acc_norm_stderr": 0.03512207412302052
962
+ },
963
+ "harness|hendrycksTest-global_facts|5": {
964
+ "acc": 0.19,
965
+ "acc_stderr": 0.03942772444036624,
966
+ "acc_norm": 0.19,
967
+ "acc_norm_stderr": 0.03942772444036624
968
+ },
969
+ "harness|hendrycksTest-high_school_biology|5": {
970
+ "acc": 0.3064516129032258,
971
+ "acc_stderr": 0.026226485652553883,
972
+ "acc_norm": 0.3064516129032258,
973
+ "acc_norm_stderr": 0.026226485652553883
974
+ },
975
+ "harness|hendrycksTest-high_school_chemistry|5": {
976
+ "acc": 0.2955665024630542,
977
+ "acc_stderr": 0.032104944337514575,
978
+ "acc_norm": 0.2955665024630542,
979
+ "acc_norm_stderr": 0.032104944337514575
980
+ },
981
+ "harness|hendrycksTest-high_school_computer_science|5": {
982
+ "acc": 0.24,
983
+ "acc_stderr": 0.04292346959909282,
984
+ "acc_norm": 0.24,
985
+ "acc_norm_stderr": 0.04292346959909282
986
+ },
987
+ "harness|hendrycksTest-high_school_european_history|5": {
988
+ "acc": 0.2606060606060606,
989
+ "acc_stderr": 0.034277431758165236,
990
+ "acc_norm": 0.2606060606060606,
991
+ "acc_norm_stderr": 0.034277431758165236
992
+ },
993
+ "harness|hendrycksTest-high_school_geography|5": {
994
+ "acc": 0.2828282828282828,
995
+ "acc_stderr": 0.03208779558786752,
996
+ "acc_norm": 0.2828282828282828,
997
+ "acc_norm_stderr": 0.03208779558786752
998
+ },
999
+ "harness|hendrycksTest-high_school_government_and_politics|5": {
1000
+ "acc": 0.30569948186528495,
1001
+ "acc_stderr": 0.03324837939758159,
1002
+ "acc_norm": 0.30569948186528495,
1003
+ "acc_norm_stderr": 0.03324837939758159
1004
+ },
1005
+ "harness|hendrycksTest-high_school_macroeconomics|5": {
1006
+ "acc": 0.2692307692307692,
1007
+ "acc_stderr": 0.02248938979365484,
1008
+ "acc_norm": 0.2692307692307692,
1009
+ "acc_norm_stderr": 0.02248938979365484
1010
+ },
1011
+ "harness|hendrycksTest-high_school_mathematics|5": {
1012
+ "acc": 0.29259259259259257,
1013
+ "acc_stderr": 0.027738969632176088,
1014
+ "acc_norm": 0.29259259259259257,
1015
+ "acc_norm_stderr": 0.027738969632176088
1016
+ },
1017
+ "harness|hendrycksTest-high_school_microeconomics|5": {
1018
+ "acc": 0.24369747899159663,
1019
+ "acc_stderr": 0.027886828078380572,
1020
+ "acc_norm": 0.24369747899159663,
1021
+ "acc_norm_stderr": 0.027886828078380572
1022
+ },
1023
+ "harness|hendrycksTest-high_school_physics|5": {
1024
+ "acc": 0.2847682119205298,
1025
+ "acc_stderr": 0.03684881521389023,
1026
+ "acc_norm": 0.2847682119205298,
1027
+ "acc_norm_stderr": 0.03684881521389023
1028
+ },
1029
+ "harness|hendrycksTest-high_school_psychology|5": {
1030
+ "acc": 0.21284403669724772,
1031
+ "acc_stderr": 0.017549376389313694,
1032
+ "acc_norm": 0.21284403669724772,
1033
+ "acc_norm_stderr": 0.017549376389313694
1034
+ },
1035
+ "harness|hendrycksTest-high_school_statistics|5": {
1036
+ "acc": 0.375,
1037
+ "acc_stderr": 0.033016908987210894,
1038
+ "acc_norm": 0.375,
1039
+ "acc_norm_stderr": 0.033016908987210894
1040
+ },
1041
+ "harness|hendrycksTest-high_school_us_history|5": {
1042
+ "acc": 0.23039215686274508,
1043
+ "acc_stderr": 0.029554292605695077,
1044
+ "acc_norm": 0.23039215686274508,
1045
+ "acc_norm_stderr": 0.029554292605695077
1046
+ },
1047
+ "harness|hendrycksTest-high_school_world_history|5": {
1048
+ "acc": 0.24472573839662448,
1049
+ "acc_stderr": 0.027985699387036423,
1050
+ "acc_norm": 0.24472573839662448,
1051
+ "acc_norm_stderr": 0.027985699387036423
1052
+ },
1053
+ "harness|hendrycksTest-human_aging|5": {
1054
+ "acc": 0.2242152466367713,
1055
+ "acc_stderr": 0.027991534258519527,
1056
+ "acc_norm": 0.2242152466367713,
1057
+ "acc_norm_stderr": 0.027991534258519527
1058
+ },
1059
+ "harness|hendrycksTest-human_sexuality|5": {
1060
+ "acc": 0.20610687022900764,
1061
+ "acc_stderr": 0.03547771004159462,
1062
+ "acc_norm": 0.20610687022900764,
1063
+ "acc_norm_stderr": 0.03547771004159462
1064
+ },
1065
+ "harness|hendrycksTest-international_law|5": {
1066
+ "acc": 0.23140495867768596,
1067
+ "acc_stderr": 0.03849856098794088,
1068
+ "acc_norm": 0.23140495867768596,
1069
+ "acc_norm_stderr": 0.03849856098794088
1070
+ },
1071
+ "harness|hendrycksTest-jurisprudence|5": {
1072
+ "acc": 0.2037037037037037,
1073
+ "acc_stderr": 0.03893542518824848,
1074
+ "acc_norm": 0.2037037037037037,
1075
+ "acc_norm_stderr": 0.03893542518824848
1076
+ },
1077
+ "harness|hendrycksTest-logical_fallacies|5": {
1078
+ "acc": 0.22699386503067484,
1079
+ "acc_stderr": 0.032910995786157686,
1080
+ "acc_norm": 0.22699386503067484,
1081
+ "acc_norm_stderr": 0.032910995786157686
1082
+ },
1083
+ "harness|hendrycksTest-machine_learning|5": {
1084
+ "acc": 0.24107142857142858,
1085
+ "acc_stderr": 0.04059867246952686,
1086
+ "acc_norm": 0.24107142857142858,
1087
+ "acc_norm_stderr": 0.04059867246952686
1088
+ },
1089
+ "harness|hendrycksTest-management|5": {
1090
+ "acc": 0.20388349514563106,
1091
+ "acc_stderr": 0.03989139859531771,
1092
+ "acc_norm": 0.20388349514563106,
1093
+ "acc_norm_stderr": 0.03989139859531771
1094
+ },
1095
+ "harness|hendrycksTest-marketing|5": {
1096
+ "acc": 0.20512820512820512,
1097
+ "acc_stderr": 0.02645350805404035,
1098
+ "acc_norm": 0.20512820512820512,
1099
+ "acc_norm_stderr": 0.02645350805404035
1100
+ },
1101
+ "harness|hendrycksTest-medical_genetics|5": {
1102
+ "acc": 0.33,
1103
+ "acc_stderr": 0.047258156262526045,
1104
+ "acc_norm": 0.33,
1105
+ "acc_norm_stderr": 0.047258156262526045
1106
+ },
1107
+ "harness|hendrycksTest-miscellaneous|5": {
1108
+ "acc": 0.26309067688378035,
1109
+ "acc_stderr": 0.01574549716904906,
1110
+ "acc_norm": 0.26309067688378035,
1111
+ "acc_norm_stderr": 0.01574549716904906
1112
+ },
1113
+ "harness|hendrycksTest-moral_disputes|5": {
1114
+ "acc": 0.21098265895953758,
1115
+ "acc_stderr": 0.021966309947043128,
1116
+ "acc_norm": 0.21098265895953758,
1117
+ "acc_norm_stderr": 0.021966309947043128
1118
+ },
1119
+ "harness|hendrycksTest-moral_scenarios|5": {
1120
+ "acc": 0.2446927374301676,
1121
+ "acc_stderr": 0.014378169884098443,
1122
+ "acc_norm": 0.2446927374301676,
1123
+ "acc_norm_stderr": 0.014378169884098443
1124
+ },
1125
+ "harness|hendrycksTest-nutrition|5": {
1126
+ "acc": 0.23202614379084968,
1127
+ "acc_stderr": 0.024170840879341012,
1128
+ "acc_norm": 0.23202614379084968,
1129
+ "acc_norm_stderr": 0.024170840879341012
1130
+ },
1131
+ "harness|hendrycksTest-philosophy|5": {
1132
+ "acc": 0.2090032154340836,
1133
+ "acc_stderr": 0.023093140398374224,
1134
+ "acc_norm": 0.2090032154340836,
1135
+ "acc_norm_stderr": 0.023093140398374224
1136
+ },
1137
+ "harness|hendrycksTest-prehistory|5": {
1138
+ "acc": 0.2962962962962963,
1139
+ "acc_stderr": 0.025407197798890155,
1140
+ "acc_norm": 0.2962962962962963,
1141
+ "acc_norm_stderr": 0.025407197798890155
1142
+ },
1143
+ "harness|hendrycksTest-professional_accounting|5": {
1144
+ "acc": 0.23049645390070922,
1145
+ "acc_stderr": 0.02512373922687241,
1146
+ "acc_norm": 0.23049645390070922,
1147
+ "acc_norm_stderr": 0.02512373922687241
1148
+ },
1149
+ "harness|hendrycksTest-professional_law|5": {
1150
+ "acc": 0.23533246414602346,
1151
+ "acc_stderr": 0.01083443254391221,
1152
+ "acc_norm": 0.23533246414602346,
1153
+ "acc_norm_stderr": 0.01083443254391221
1154
+ },
1155
+ "harness|hendrycksTest-professional_medicine|5": {
1156
+ "acc": 0.35294117647058826,
1157
+ "acc_stderr": 0.029029422815681404,
1158
+ "acc_norm": 0.35294117647058826,
1159
+ "acc_norm_stderr": 0.029029422815681404
1160
+ },
1161
+ "harness|hendrycksTest-professional_psychology|5": {
1162
+ "acc": 0.22712418300653595,
1163
+ "acc_stderr": 0.01694985327921238,
1164
+ "acc_norm": 0.22712418300653595,
1165
+ "acc_norm_stderr": 0.01694985327921238
1166
+ },
1167
+ "harness|hendrycksTest-public_relations|5": {
1168
+ "acc": 0.23636363636363636,
1169
+ "acc_stderr": 0.040693063197213754,
1170
+ "acc_norm": 0.23636363636363636,
1171
+ "acc_norm_stderr": 0.040693063197213754
1172
+ },
1173
+ "harness|hendrycksTest-security_studies|5": {
1174
+ "acc": 0.24897959183673468,
1175
+ "acc_stderr": 0.027682979522960234,
1176
+ "acc_norm": 0.24897959183673468,
1177
+ "acc_norm_stderr": 0.027682979522960234
1178
+ },
1179
+ "harness|hendrycksTest-sociology|5": {
1180
+ "acc": 0.25870646766169153,
1181
+ "acc_stderr": 0.03096590312357303,
1182
+ "acc_norm": 0.25870646766169153,
1183
+ "acc_norm_stderr": 0.03096590312357303
1184
+ },
1185
+ "harness|hendrycksTest-us_foreign_policy|5": {
1186
+ "acc": 0.21,
1187
+ "acc_stderr": 0.04093601807403326,
1188
+ "acc_norm": 0.21,
1189
+ "acc_norm_stderr": 0.04093601807403326
1190
+ },
1191
+ "harness|hendrycksTest-virology|5": {
1192
+ "acc": 0.19879518072289157,
1193
+ "acc_stderr": 0.03106939026078942,
1194
+ "acc_norm": 0.19879518072289157,
1195
+ "acc_norm_stderr": 0.03106939026078942
1196
+ },
1197
+ "harness|hendrycksTest-world_religions|5": {
1198
+ "acc": 0.24561403508771928,
1199
+ "acc_stderr": 0.03301405946987251,
1200
+ "acc_norm": 0.24561403508771928,
1201
+ "acc_norm_stderr": 0.03301405946987251
1202
+ },
1203
+ "harness|truthfulqa:mc|0": {
1204
+ "mc1": 0.2386780905752754,
1205
+ "mc1_stderr": 0.014922629695456421,
1206
+ "mc2": 0.43410131367024446,
1207
+ "mc2_stderr": 0.015406538697451911
1208
+ },
1209
+ "harness|winogrande|5": {
1210
+ "acc": 0.5327545382794001,
1211
+ "acc_stderr": 0.014022300570434139
1212
+ },
1213
+ "harness|gsm8k|5": {
1214
+ "acc": 0.0,
1215
+ "acc_stderr": 0.0
1216
+ }
1217
+ }
1218
+ ```
1219
+
1220
+ ## Dataset Details
1221
+
1222
+ ### Dataset Description
1223
+
1224
+ <!-- Provide a longer summary of what this dataset is. -->
1225
+
1226
+
1227
+
1228
+ - **Curated by:** [More Information Needed]
1229
+ - **Funded by [optional]:** [More Information Needed]
1230
+ - **Shared by [optional]:** [More Information Needed]
1231
+ - **Language(s) (NLP):** [More Information Needed]
1232
+ - **License:** [More Information Needed]
1233
+
1234
+ ### Dataset Sources [optional]
1235
+
1236
+ <!-- Provide the basic links for the dataset. -->
1237
+
1238
+ - **Repository:** [More Information Needed]
1239
+ - **Paper [optional]:** [More Information Needed]
1240
+ - **Demo [optional]:** [More Information Needed]
1241
+
1242
+ ## Uses
1243
+
1244
+ <!-- Address questions around how the dataset is intended to be used. -->
1245
+
1246
+ ### Direct Use
1247
+
1248
+ <!-- This section describes suitable use cases for the dataset. -->
1249
+
1250
+ [More Information Needed]
1251
+
1252
+ ### Out-of-Scope Use
1253
+
1254
+ <!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
1255
+
1256
+ [More Information Needed]
1257
+
1258
+ ## Dataset Structure
1259
+
1260
+ <!-- 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. -->
1261
+
1262
+ [More Information Needed]
1263
+
1264
+ ## Dataset Creation
1265
+
1266
+ ### Curation Rationale
1267
+
1268
+ <!-- Motivation for the creation of this dataset. -->
1269
+
1270
+ [More Information Needed]
1271
+
1272
+ ### Source Data
1273
+
1274
+ <!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
1275
+
1276
+ #### Data Collection and Processing
1277
+
1278
+ <!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
1279
+
1280
+ [More Information Needed]
1281
+
1282
+ #### Who are the source data producers?
1283
+
1284
+ <!-- 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. -->
1285
+
1286
+ [More Information Needed]
1287
+
1288
+ ### Annotations [optional]
1289
+
1290
+ <!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
1291
+
1292
+ #### Annotation process
1293
+
1294
+ <!-- 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. -->
1295
+
1296
+ [More Information Needed]
1297
+
1298
+ #### Who are the annotators?
1299
+
1300
+ <!-- This section describes the people or systems who created the annotations. -->
1301
+
1302
+ [More Information Needed]
1303
+
1304
+ #### Personal and Sensitive Information
1305
+
1306
+ <!-- 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. -->
1307
+
1308
+ [More Information Needed]
1309
+
1310
+ ## Bias, Risks, and Limitations
1311
+
1312
+ <!-- This section is meant to convey both technical and sociotechnical limitations. -->
1313
+
1314
+ [More Information Needed]
1315
+
1316
+ ### Recommendations
1317
+
1318
+ <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
1319
+
1320
+ Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
1321
+
1322
+ ## Citation [optional]
1323
+
1324
+ <!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
1325
+
1326
+ **BibTeX:**
1327
+
1328
+ [More Information Needed]
1329
+
1330
+ **APA:**
1331
+
1332
+ [More Information Needed]
1333
+
1334
+ ## Glossary [optional]
1335
+
1336
+ <!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
1337
+
1338
+ [More Information Needed]
1339
+
1340
+ ## More Information [optional]
1341
+
1342
+ [More Information Needed]
1343
+
1344
+ ## Dataset Card Authors [optional]
1345
+
1346
+ [More Information Needed]
1347
+
1348
+ ## Dataset Card Contact
1349
+
1350
+ [More Information Needed]