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@@ -12,7 +12,170 @@ dataset_summary: "Dataset automatically created during the evaluation run of mod
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  \ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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  \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_EleutherAI__polyglot-ko-12.8b\"\
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- ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```"
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
16
  repo_url: https://huggingface.co/EleutherAI/polyglot-ko-12.8b
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  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
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  point_of_contact: clementine@hf.co
@@ -169,6 +332,385 @@ data = load_dataset("open-llm-leaderboard/details_EleutherAI__polyglot-ko-12.8b"
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  split="train")
170
  ```
171
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
172
  ### Supported Tasks and Leaderboards
173
 
174
  [More Information Needed]
 
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_EleutherAI__polyglot-ko-12.8b\"\
15
+ ,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
16
+ \nThese are the latest results from run 2023-07-19T18:43:02.018732\n\n```python\n\
17
+ {\n \"all\": {\n \"acc\": 0.26822944606005517,\n \"acc_stderr\"\
18
+ : 0.032045606270137666,\n \"acc_norm\": 0.270725821928138,\n \"acc_norm_stderr\"\
19
+ : 0.03205446758778603,\n \"mc1\": 0.20685434516523868,\n \"mc1_stderr\"\
20
+ : 0.01417959149672834,\n \"mc2\": 0.3468626209986197,\n \"mc2_stderr\"\
21
+ : 0.013853839559878593\n },\n \"harness|arc:challenge|25\": {\n \"\
22
+ acc\": 0.24488054607508533,\n \"acc_stderr\": 0.012566273985131356,\n \
23
+ \ \"acc_norm\": 0.27047781569965873,\n \"acc_norm_stderr\": 0.012980954547659554\n\
24
+ \ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.3951404102768373,\n\
25
+ \ \"acc_stderr\": 0.004878816961012042,\n \"acc_norm\": 0.5168293168691496,\n\
26
+ \ \"acc_norm_stderr\": 0.004986954139737531\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
27
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
28
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
29
+ \ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.24444444444444444,\n\
30
+ \ \"acc_stderr\": 0.037125378336148665,\n \"acc_norm\": 0.24444444444444444,\n\
31
+ \ \"acc_norm_stderr\": 0.037125378336148665\n },\n \"harness|hendrycksTest-astronomy|5\"\
32
+ : {\n \"acc\": 0.2236842105263158,\n \"acc_stderr\": 0.03391160934343604,\n\
33
+ \ \"acc_norm\": 0.2236842105263158,\n \"acc_norm_stderr\": 0.03391160934343604\n\
34
+ \ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.31,\n\
35
+ \ \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\": 0.31,\n \
36
+ \ \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
37
+ : {\n \"acc\": 0.20754716981132076,\n \"acc_stderr\": 0.02495991802891127,\n\
38
+ \ \"acc_norm\": 0.20754716981132076,\n \"acc_norm_stderr\": 0.02495991802891127\n\
39
+ \ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.2708333333333333,\n\
40
+ \ \"acc_stderr\": 0.03716177437566017,\n \"acc_norm\": 0.2708333333333333,\n\
41
+ \ \"acc_norm_stderr\": 0.03716177437566017\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
42
+ : {\n \"acc\": 0.41,\n \"acc_stderr\": 0.049431107042371025,\n \
43
+ \ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.049431107042371025\n \
44
+ \ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
45
+ acc\": 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\"\
46
+ : 0.32,\n \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
47
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
48
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
49
+ \ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.2774566473988439,\n\
50
+ \ \"acc_stderr\": 0.034140140070440354,\n \"acc_norm\": 0.2774566473988439,\n\
51
+ \ \"acc_norm_stderr\": 0.034140140070440354\n },\n \"harness|hendrycksTest-college_physics|5\"\
52
+ : {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383888,\n\
53
+ \ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383888\n\
54
+ \ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
55
+ \ 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \"acc_norm\": 0.29,\n\
56
+ \ \"acc_norm_stderr\": 0.04560480215720683\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
57
+ : {\n \"acc\": 0.20851063829787234,\n \"acc_stderr\": 0.02655698211783874,\n\
58
+ \ \"acc_norm\": 0.20851063829787234,\n \"acc_norm_stderr\": 0.02655698211783874\n\
59
+ \ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.24561403508771928,\n\
60
+ \ \"acc_stderr\": 0.04049339297748141,\n \"acc_norm\": 0.24561403508771928,\n\
61
+ \ \"acc_norm_stderr\": 0.04049339297748141\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
62
+ : {\n \"acc\": 0.2689655172413793,\n \"acc_stderr\": 0.036951833116502325,\n\
63
+ \ \"acc_norm\": 0.2689655172413793,\n \"acc_norm_stderr\": 0.036951833116502325\n\
64
+ \ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
65
+ : 0.29365079365079366,\n \"acc_stderr\": 0.023456037383982022,\n \"\
66
+ acc_norm\": 0.29365079365079366,\n \"acc_norm_stderr\": 0.023456037383982022\n\
67
+ \ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.14285714285714285,\n\
68
+ \ \"acc_stderr\": 0.03129843185743809,\n \"acc_norm\": 0.14285714285714285,\n\
69
+ \ \"acc_norm_stderr\": 0.03129843185743809\n },\n \"harness|hendrycksTest-global_facts|5\"\
70
+ : {\n \"acc\": 0.14,\n \"acc_stderr\": 0.03487350880197771,\n \
71
+ \ \"acc_norm\": 0.14,\n \"acc_norm_stderr\": 0.03487350880197771\n \
72
+ \ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.2967741935483871,\n\
73
+ \ \"acc_stderr\": 0.0259885007924119,\n \"acc_norm\": 0.2967741935483871,\n\
74
+ \ \"acc_norm_stderr\": 0.0259885007924119\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
75
+ : {\n \"acc\": 0.2857142857142857,\n \"acc_stderr\": 0.031785297106427496,\n\
76
+ \ \"acc_norm\": 0.2857142857142857,\n \"acc_norm_stderr\": 0.031785297106427496\n\
77
+ \ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
78
+ \ \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\"\
79
+ : 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
80
+ : {\n \"acc\": 0.24848484848484848,\n \"acc_stderr\": 0.03374402644139405,\n\
81
+ \ \"acc_norm\": 0.24848484848484848,\n \"acc_norm_stderr\": 0.03374402644139405\n\
82
+ \ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
83
+ : 0.25252525252525254,\n \"acc_stderr\": 0.030954055470365904,\n \"\
84
+ acc_norm\": 0.25252525252525254,\n \"acc_norm_stderr\": 0.030954055470365904\n\
85
+ \ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
86
+ \ \"acc\": 0.2694300518134715,\n \"acc_stderr\": 0.03201867122877793,\n\
87
+ \ \"acc_norm\": 0.2694300518134715,\n \"acc_norm_stderr\": 0.03201867122877793\n\
88
+ \ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
89
+ \ \"acc\": 0.2230769230769231,\n \"acc_stderr\": 0.02110773012724398,\n \
90
+ \ \"acc_norm\": 0.2230769230769231,\n \"acc_norm_stderr\": 0.02110773012724398\n\
91
+ \ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
92
+ acc\": 0.24074074074074073,\n \"acc_stderr\": 0.026067159222275805,\n \
93
+ \ \"acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.026067159222275805\n\
94
+ \ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
95
+ \ \"acc\": 0.21008403361344538,\n \"acc_stderr\": 0.026461398717471874,\n\
96
+ \ \"acc_norm\": 0.21008403361344538,\n \"acc_norm_stderr\": 0.026461398717471874\n\
97
+ \ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
98
+ : 0.32450331125827814,\n \"acc_stderr\": 0.03822746937658754,\n \"\
99
+ acc_norm\": 0.32450331125827814,\n \"acc_norm_stderr\": 0.03822746937658754\n\
100
+ \ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
101
+ : 0.23302752293577983,\n \"acc_stderr\": 0.0181256691808615,\n \"\
102
+ acc_norm\": 0.23302752293577983,\n \"acc_norm_stderr\": 0.0181256691808615\n\
103
+ \ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
104
+ : 0.4166666666666667,\n \"acc_stderr\": 0.03362277436608043,\n \"\
105
+ acc_norm\": 0.4166666666666667,\n \"acc_norm_stderr\": 0.03362277436608043\n\
106
+ \ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
107
+ : 0.27450980392156865,\n \"acc_stderr\": 0.03132179803083291,\n \"\
108
+ acc_norm\": 0.27450980392156865,\n \"acc_norm_stderr\": 0.03132179803083291\n\
109
+ \ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
110
+ acc\": 0.25738396624472576,\n \"acc_stderr\": 0.028458820991460302,\n \
111
+ \ \"acc_norm\": 0.25738396624472576,\n \"acc_norm_stderr\": 0.028458820991460302\n\
112
+ \ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.20179372197309417,\n\
113
+ \ \"acc_stderr\": 0.026936111912802273,\n \"acc_norm\": 0.20179372197309417,\n\
114
+ \ \"acc_norm_stderr\": 0.026936111912802273\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
115
+ : {\n \"acc\": 0.24427480916030533,\n \"acc_stderr\": 0.03768335959728745,\n\
116
+ \ \"acc_norm\": 0.24427480916030533,\n \"acc_norm_stderr\": 0.03768335959728745\n\
117
+ \ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
118
+ \ 0.34710743801652894,\n \"acc_stderr\": 0.043457245702925335,\n \"\
119
+ acc_norm\": 0.34710743801652894,\n \"acc_norm_stderr\": 0.043457245702925335\n\
120
+ \ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.2777777777777778,\n\
121
+ \ \"acc_stderr\": 0.043300437496507416,\n \"acc_norm\": 0.2777777777777778,\n\
122
+ \ \"acc_norm_stderr\": 0.043300437496507416\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
123
+ : {\n \"acc\": 0.3006134969325153,\n \"acc_stderr\": 0.03602511318806771,\n\
124
+ \ \"acc_norm\": 0.3006134969325153,\n \"acc_norm_stderr\": 0.03602511318806771\n\
125
+ \ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.30357142857142855,\n\
126
+ \ \"acc_stderr\": 0.04364226155841044,\n \"acc_norm\": 0.30357142857142855,\n\
127
+ \ \"acc_norm_stderr\": 0.04364226155841044\n },\n \"harness|hendrycksTest-management|5\"\
128
+ : {\n \"acc\": 0.18446601941747573,\n \"acc_stderr\": 0.03840423627288276,\n\
129
+ \ \"acc_norm\": 0.18446601941747573,\n \"acc_norm_stderr\": 0.03840423627288276\n\
130
+ \ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.28205128205128205,\n\
131
+ \ \"acc_stderr\": 0.029480360549541194,\n \"acc_norm\": 0.28205128205128205,\n\
132
+ \ \"acc_norm_stderr\": 0.029480360549541194\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
133
+ : {\n \"acc\": 0.3,\n \"acc_stderr\": 0.04605661864718381,\n \
134
+ \ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.04605661864718381\n },\n\
135
+ \ \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.2681992337164751,\n\
136
+ \ \"acc_stderr\": 0.015842430835269438,\n \"acc_norm\": 0.2681992337164751,\n\
137
+ \ \"acc_norm_stderr\": 0.015842430835269438\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
138
+ : {\n \"acc\": 0.2398843930635838,\n \"acc_stderr\": 0.02298959254312357,\n\
139
+ \ \"acc_norm\": 0.2398843930635838,\n \"acc_norm_stderr\": 0.02298959254312357\n\
140
+ \ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.26145251396648045,\n\
141
+ \ \"acc_stderr\": 0.014696599650364555,\n \"acc_norm\": 0.26145251396648045,\n\
142
+ \ \"acc_norm_stderr\": 0.014696599650364555\n },\n \"harness|hendrycksTest-nutrition|5\"\
143
+ : {\n \"acc\": 0.25163398692810457,\n \"acc_stderr\": 0.024848018263875195,\n\
144
+ \ \"acc_norm\": 0.25163398692810457,\n \"acc_norm_stderr\": 0.024848018263875195\n\
145
+ \ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.2315112540192926,\n\
146
+ \ \"acc_stderr\": 0.023956532766639133,\n \"acc_norm\": 0.2315112540192926,\n\
147
+ \ \"acc_norm_stderr\": 0.023956532766639133\n },\n \"harness|hendrycksTest-prehistory|5\"\
148
+ : {\n \"acc\": 0.2777777777777778,\n \"acc_stderr\": 0.024922001168886352,\n\
149
+ \ \"acc_norm\": 0.2777777777777778,\n \"acc_norm_stderr\": 0.024922001168886352\n\
150
+ \ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
151
+ acc\": 0.1950354609929078,\n \"acc_stderr\": 0.02363698094391562,\n \
152
+ \ \"acc_norm\": 0.1950354609929078,\n \"acc_norm_stderr\": 0.02363698094391562\n\
153
+ \ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.2301173402868318,\n\
154
+ \ \"acc_stderr\": 0.010750183177375541,\n \"acc_norm\": 0.2301173402868318,\n\
155
+ \ \"acc_norm_stderr\": 0.010750183177375541\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
156
+ : {\n \"acc\": 0.45588235294117646,\n \"acc_stderr\": 0.03025437257397669,\n\
157
+ \ \"acc_norm\": 0.45588235294117646,\n \"acc_norm_stderr\": 0.03025437257397669\n\
158
+ \ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
159
+ acc\": 0.2630718954248366,\n \"acc_stderr\": 0.017812676542320657,\n \
160
+ \ \"acc_norm\": 0.2630718954248366,\n \"acc_norm_stderr\": 0.017812676542320657\n\
161
+ \ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.18181818181818182,\n\
162
+ \ \"acc_stderr\": 0.036942843353378,\n \"acc_norm\": 0.18181818181818182,\n\
163
+ \ \"acc_norm_stderr\": 0.036942843353378\n },\n \"harness|hendrycksTest-security_studies|5\"\
164
+ : {\n \"acc\": 0.23673469387755103,\n \"acc_stderr\": 0.02721283588407316,\n\
165
+ \ \"acc_norm\": 0.23673469387755103,\n \"acc_norm_stderr\": 0.02721283588407316\n\
166
+ \ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.24378109452736318,\n\
167
+ \ \"acc_stderr\": 0.03036049015401467,\n \"acc_norm\": 0.24378109452736318,\n\
168
+ \ \"acc_norm_stderr\": 0.03036049015401467\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
169
+ : {\n \"acc\": 0.25,\n \"acc_stderr\": 0.04351941398892446,\n \
170
+ \ \"acc_norm\": 0.25,\n \"acc_norm_stderr\": 0.04351941398892446\n \
171
+ \ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.23493975903614459,\n\
172
+ \ \"acc_stderr\": 0.03300533186128922,\n \"acc_norm\": 0.23493975903614459,\n\
173
+ \ \"acc_norm_stderr\": 0.03300533186128922\n },\n \"harness|hendrycksTest-world_religions|5\"\
174
+ : {\n \"acc\": 0.29239766081871343,\n \"acc_stderr\": 0.034886477134579215,\n\
175
+ \ \"acc_norm\": 0.29239766081871343,\n \"acc_norm_stderr\": 0.034886477134579215\n\
176
+ \ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.20685434516523868,\n\
177
+ \ \"mc1_stderr\": 0.01417959149672834,\n \"mc2\": 0.3468626209986197,\n\
178
+ \ \"mc2_stderr\": 0.013853839559878593\n }\n}\n```"
179
  repo_url: https://huggingface.co/EleutherAI/polyglot-ko-12.8b
180
  leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
181
  point_of_contact: clementine@hf.co
 
332
  split="train")
333
  ```
334
 
335
+ ## Latest results
336
+
337
+ These are the latest results from run 2023-07-19T18:43:02.018732
338
+
339
+ ```python
340
+ {
341
+ "all": {
342
+ "acc": 0.26822944606005517,
343
+ "acc_stderr": 0.032045606270137666,
344
+ "acc_norm": 0.270725821928138,
345
+ "acc_norm_stderr": 0.03205446758778603,
346
+ "mc1": 0.20685434516523868,
347
+ "mc1_stderr": 0.01417959149672834,
348
+ "mc2": 0.3468626209986197,
349
+ "mc2_stderr": 0.013853839559878593
350
+ },
351
+ "harness|arc:challenge|25": {
352
+ "acc": 0.24488054607508533,
353
+ "acc_stderr": 0.012566273985131356,
354
+ "acc_norm": 0.27047781569965873,
355
+ "acc_norm_stderr": 0.012980954547659554
356
+ },
357
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+ }
711
+ }
712
+ ```
713
+
714
  ### Supported Tasks and Leaderboards
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716
  [More Information Needed]