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ee05a30
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Parent(s):
422aa76
Upload README.md with huggingface_hub
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README.md
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1 |
+
---
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pretty_name: Evaluation run of AI-Sweden-Models/gpt-sw3-6.7b-v2
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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4 |
+
\ [AI-Sweden-Models/gpt-sw3-6.7b-v2](https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2)\
|
5 |
+
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
6 |
+
\nThe dataset is composed of 64 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_AI-Sweden-Models__gpt-sw3-6.7b-v2_public\"\
|
15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
16 |
+
These are the [latest results from run 2023-11-18T22:06:22.388098](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-6.7b-v2_public/blob/main/results_2023-11-18T22-06-22.388098.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\": 0.3057412972161726,\n\
|
20 |
+
\ \"acc_stderr\": 0.0324287022369866,\n \"acc_norm\": 0.3085950645885834,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.03324907491950671,\n \"mc1\": 0.2215422276621787,\n\
|
22 |
+
\ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.35596210654913335,\n\
|
23 |
+
\ \"mc2_stderr\": 0.01360076088943332,\n \"em\": 0.00985738255033557,\n\
|
24 |
+
\ \"em_stderr\": 0.001011740962658443,\n \"f1\": 0.06222839765100698,\n\
|
25 |
+
\ \"f1_stderr\": 0.0016287678100739308\n },\n \"harness|arc:challenge|25\"\
|
26 |
+
: {\n \"acc\": 0.35409556313993173,\n \"acc_stderr\": 0.01397545412275656,\n\
|
27 |
+
\ \"acc_norm\": 0.39419795221843,\n \"acc_norm_stderr\": 0.014280522667467327\n\
|
28 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.492531368253336,\n\
|
29 |
+
\ \"acc_stderr\": 0.004989224715784535,\n \"acc_norm\": 0.6639115714001195,\n\
|
30 |
+
\ \"acc_norm_stderr\": 0.004714041652598593\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
31 |
+
: {\n \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542129,\n \
|
32 |
+
\ \"acc_norm\": 0.28,\n \"acc_norm_stderr\": 0.04512608598542129\n \
|
33 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.34074074074074073,\n\
|
34 |
+
\ \"acc_stderr\": 0.04094376269996794,\n \"acc_norm\": 0.34074074074074073,\n\
|
35 |
+
\ \"acc_norm_stderr\": 0.04094376269996794\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
36 |
+
: {\n \"acc\": 0.23026315789473684,\n \"acc_stderr\": 0.03426059424403165,\n\
|
37 |
+
\ \"acc_norm\": 0.23026315789473684,\n \"acc_norm_stderr\": 0.03426059424403165\n\
|
38 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.37,\n\
|
39 |
+
\ \"acc_stderr\": 0.04852365870939099,\n \"acc_norm\": 0.37,\n \
|
40 |
+
\ \"acc_norm_stderr\": 0.04852365870939099\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
41 |
+
: {\n \"acc\": 0.39622641509433965,\n \"acc_stderr\": 0.030102793781791194,\n\
|
42 |
+
\ \"acc_norm\": 0.39622641509433965,\n \"acc_norm_stderr\": 0.030102793781791194\n\
|
43 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.3194444444444444,\n\
|
44 |
+
\ \"acc_stderr\": 0.038990736873573344,\n \"acc_norm\": 0.3194444444444444,\n\
|
45 |
+
\ \"acc_norm_stderr\": 0.038990736873573344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
46 |
+
: {\n \"acc\": 0.2,\n \"acc_stderr\": 0.04020151261036846,\n \
|
47 |
+
\ \"acc_norm\": 0.2,\n \"acc_norm_stderr\": 0.04020151261036846\n },\n\
|
48 |
+
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.3,\n\
|
49 |
+
\ \"acc_stderr\": 0.046056618647183814,\n \"acc_norm\": 0.3,\n \
|
50 |
+
\ \"acc_norm_stderr\": 0.046056618647183814\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
51 |
+
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
|
52 |
+
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
|
53 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.30057803468208094,\n\
|
54 |
+
\ \"acc_stderr\": 0.0349610148119118,\n \"acc_norm\": 0.30057803468208094,\n\
|
55 |
+
\ \"acc_norm_stderr\": 0.0349610148119118\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
56 |
+
: {\n \"acc\": 0.14705882352941177,\n \"acc_stderr\": 0.03524068951567447,\n\
|
57 |
+
\ \"acc_norm\": 0.14705882352941177,\n \"acc_norm_stderr\": 0.03524068951567447\n\
|
58 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
59 |
+
\ 0.32,\n \"acc_stderr\": 0.04688261722621504,\n \"acc_norm\": 0.32,\n\
|
60 |
+
\ \"acc_norm_stderr\": 0.04688261722621504\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
61 |
+
: {\n \"acc\": 0.3404255319148936,\n \"acc_stderr\": 0.030976692998534432,\n\
|
62 |
+
\ \"acc_norm\": 0.3404255319148936,\n \"acc_norm_stderr\": 0.030976692998534432\n\
|
63 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
|
64 |
+
\ \"acc_stderr\": 0.03999423879281336,\n \"acc_norm\": 0.23684210526315788,\n\
|
65 |
+
\ \"acc_norm_stderr\": 0.03999423879281336\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
66 |
+
: {\n \"acc\": 0.31724137931034485,\n \"acc_stderr\": 0.03878352372138621,\n\
|
67 |
+
\ \"acc_norm\": 0.31724137931034485,\n \"acc_norm_stderr\": 0.03878352372138621\n\
|
68 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
69 |
+
: 0.26455026455026454,\n \"acc_stderr\": 0.02271746789770861,\n \"\
|
70 |
+
acc_norm\": 0.26455026455026454,\n \"acc_norm_stderr\": 0.02271746789770861\n\
|
71 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.2777777777777778,\n\
|
72 |
+
\ \"acc_stderr\": 0.04006168083848878,\n \"acc_norm\": 0.2777777777777778,\n\
|
73 |
+
\ \"acc_norm_stderr\": 0.04006168083848878\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
74 |
+
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
|
75 |
+
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
|
76 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.3064516129032258,\n\
|
77 |
+
\ \"acc_stderr\": 0.026226485652553883,\n \"acc_norm\": 0.3064516129032258,\n\
|
78 |
+
\ \"acc_norm_stderr\": 0.026226485652553883\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
79 |
+
: {\n \"acc\": 0.2561576354679803,\n \"acc_stderr\": 0.030712730070982592,\n\
|
80 |
+
\ \"acc_norm\": 0.2561576354679803,\n \"acc_norm_stderr\": 0.030712730070982592\n\
|
81 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
82 |
+
\ \"acc\": 0.28,\n \"acc_stderr\": 0.04512608598542128,\n \"acc_norm\"\
|
83 |
+
: 0.28,\n \"acc_norm_stderr\": 0.04512608598542128\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
84 |
+
: {\n \"acc\": 0.34545454545454546,\n \"acc_stderr\": 0.037131580674819135,\n\
|
85 |
+
\ \"acc_norm\": 0.34545454545454546,\n \"acc_norm_stderr\": 0.037131580674819135\n\
|
86 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
87 |
+
: 0.36363636363636365,\n \"acc_stderr\": 0.034273086529999344,\n \"\
|
88 |
+
acc_norm\": 0.36363636363636365,\n \"acc_norm_stderr\": 0.034273086529999344\n\
|
89 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
90 |
+
\ \"acc\": 0.29015544041450775,\n \"acc_stderr\": 0.03275264467791516,\n\
|
91 |
+
\ \"acc_norm\": 0.29015544041450775,\n \"acc_norm_stderr\": 0.03275264467791516\n\
|
92 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
93 |
+
\ \"acc\": 0.26666666666666666,\n \"acc_stderr\": 0.022421273612923714,\n\
|
94 |
+
\ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.022421273612923714\n\
|
95 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
96 |
+
acc\": 0.24074074074074073,\n \"acc_stderr\": 0.026067159222275798,\n \
|
97 |
+
\ \"acc_norm\": 0.24074074074074073,\n \"acc_norm_stderr\": 0.026067159222275798\n\
|
98 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
99 |
+
\ \"acc\": 0.23109243697478993,\n \"acc_stderr\": 0.027381406927868956,\n\
|
100 |
+
\ \"acc_norm\": 0.23109243697478993,\n \"acc_norm_stderr\": 0.027381406927868956\n\
|
101 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
102 |
+
: 0.23178807947019867,\n \"acc_stderr\": 0.03445406271987054,\n \"\
|
103 |
+
acc_norm\": 0.23178807947019867,\n \"acc_norm_stderr\": 0.03445406271987054\n\
|
104 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
105 |
+
: 0.3688073394495413,\n \"acc_stderr\": 0.020686227560729544,\n \"\
|
106 |
+
acc_norm\": 0.3688073394495413,\n \"acc_norm_stderr\": 0.020686227560729544\n\
|
107 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
108 |
+
: 0.18981481481481483,\n \"acc_stderr\": 0.02674471483469192,\n \"\
|
109 |
+
acc_norm\": 0.18981481481481483,\n \"acc_norm_stderr\": 0.02674471483469192\n\
|
110 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
111 |
+
: 0.27941176470588236,\n \"acc_stderr\": 0.031493281045079556,\n \"\
|
112 |
+
acc_norm\": 0.27941176470588236,\n \"acc_norm_stderr\": 0.031493281045079556\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
114 |
+
acc\": 0.3459915611814346,\n \"acc_stderr\": 0.030964810588786713,\n \
|
115 |
+
\ \"acc_norm\": 0.3459915611814346,\n \"acc_norm_stderr\": 0.030964810588786713\n\
|
116 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.31390134529147984,\n\
|
117 |
+
\ \"acc_stderr\": 0.031146796482972465,\n \"acc_norm\": 0.31390134529147984,\n\
|
118 |
+
\ \"acc_norm_stderr\": 0.031146796482972465\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
119 |
+
: {\n \"acc\": 0.3435114503816794,\n \"acc_stderr\": 0.041649760719448786,\n\
|
120 |
+
\ \"acc_norm\": 0.3435114503816794,\n \"acc_norm_stderr\": 0.041649760719448786\n\
|
121 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
122 |
+
\ 0.371900826446281,\n \"acc_stderr\": 0.04412015806624503,\n \"acc_norm\"\
|
123 |
+
: 0.371900826446281,\n \"acc_norm_stderr\": 0.04412015806624503\n },\n\
|
124 |
+
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.3055555555555556,\n\
|
125 |
+
\ \"acc_stderr\": 0.044531975073749834,\n \"acc_norm\": 0.3055555555555556,\n\
|
126 |
+
\ \"acc_norm_stderr\": 0.044531975073749834\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
127 |
+
: {\n \"acc\": 0.26993865030674846,\n \"acc_stderr\": 0.03487825168497892,\n\
|
128 |
+
\ \"acc_norm\": 0.26993865030674846,\n \"acc_norm_stderr\": 0.03487825168497892\n\
|
129 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.24107142857142858,\n\
|
130 |
+
\ \"acc_stderr\": 0.04059867246952685,\n \"acc_norm\": 0.24107142857142858,\n\
|
131 |
+
\ \"acc_norm_stderr\": 0.04059867246952685\n },\n \"harness|hendrycksTest-management|5\"\
|
132 |
+
: {\n \"acc\": 0.2815533980582524,\n \"acc_stderr\": 0.04453254836326469,\n\
|
133 |
+
\ \"acc_norm\": 0.2815533980582524,\n \"acc_norm_stderr\": 0.04453254836326469\n\
|
134 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.32051282051282054,\n\
|
135 |
+
\ \"acc_stderr\": 0.030572811310299607,\n \"acc_norm\": 0.32051282051282054,\n\
|
136 |
+
\ \"acc_norm_stderr\": 0.030572811310299607\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
137 |
+
: {\n \"acc\": 0.29,\n \"acc_stderr\": 0.04560480215720683,\n \
|
138 |
+
\ \"acc_norm\": 0.29,\n \"acc_norm_stderr\": 0.04560480215720683\n \
|
139 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.3371647509578544,\n\
|
140 |
+
\ \"acc_stderr\": 0.016905207420803543,\n \"acc_norm\": 0.3371647509578544,\n\
|
141 |
+
\ \"acc_norm_stderr\": 0.016905207420803543\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
142 |
+
: {\n \"acc\": 0.31213872832369943,\n \"acc_stderr\": 0.024946792225272314,\n\
|
143 |
+
\ \"acc_norm\": 0.31213872832369943,\n \"acc_norm_stderr\": 0.024946792225272314\n\
|
144 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2424581005586592,\n\
|
145 |
+
\ \"acc_stderr\": 0.014333522059217889,\n \"acc_norm\": 0.2424581005586592,\n\
|
146 |
+
\ \"acc_norm_stderr\": 0.014333522059217889\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
147 |
+
: {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.02718449890994162,\n\
|
148 |
+
\ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.02718449890994162\n\
|
149 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.36012861736334406,\n\
|
150 |
+
\ \"acc_stderr\": 0.027264297599804015,\n \"acc_norm\": 0.36012861736334406,\n\
|
151 |
+
\ \"acc_norm_stderr\": 0.027264297599804015\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
152 |
+
: {\n \"acc\": 0.3148148148148148,\n \"acc_stderr\": 0.025842248700902182,\n\
|
153 |
+
\ \"acc_norm\": 0.3148148148148148,\n \"acc_norm_stderr\": 0.025842248700902182\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
155 |
+
acc\": 0.2907801418439716,\n \"acc_stderr\": 0.027090664368353178,\n \
|
156 |
+
\ \"acc_norm\": 0.2907801418439716,\n \"acc_norm_stderr\": 0.027090664368353178\n\
|
157 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.27509778357235987,\n\
|
158 |
+
\ \"acc_stderr\": 0.01140544362099692,\n \"acc_norm\": 0.27509778357235987,\n\
|
159 |
+
\ \"acc_norm_stderr\": 0.01140544362099692\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
160 |
+
: {\n \"acc\": 0.2867647058823529,\n \"acc_stderr\": 0.027472274473233818,\n\
|
161 |
+
\ \"acc_norm\": 0.2867647058823529,\n \"acc_norm_stderr\": 0.027472274473233818\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
163 |
+
acc\": 0.2957516339869281,\n \"acc_stderr\": 0.018463154132632824,\n \
|
164 |
+
\ \"acc_norm\": 0.2957516339869281,\n \"acc_norm_stderr\": 0.018463154132632824\n\
|
165 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.34545454545454546,\n\
|
166 |
+
\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.34545454545454546,\n\
|
167 |
+
\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
168 |
+
: {\n \"acc\": 0.2653061224489796,\n \"acc_stderr\": 0.028263889943784606,\n\
|
169 |
+
\ \"acc_norm\": 0.2653061224489796,\n \"acc_norm_stderr\": 0.028263889943784606\n\
|
170 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.3582089552238806,\n\
|
171 |
+
\ \"acc_stderr\": 0.03390393042268814,\n \"acc_norm\": 0.3582089552238806,\n\
|
172 |
+
\ \"acc_norm_stderr\": 0.03390393042268814\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
173 |
+
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
|
174 |
+
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
|
175 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.3313253012048193,\n\
|
176 |
+
\ \"acc_stderr\": 0.036643147772880864,\n \"acc_norm\": 0.3313253012048193,\n\
|
177 |
+
\ \"acc_norm_stderr\": 0.036643147772880864\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
178 |
+
: {\n \"acc\": 0.4152046783625731,\n \"acc_stderr\": 0.03779275945503201,\n\
|
179 |
+
\ \"acc_norm\": 0.4152046783625731,\n \"acc_norm_stderr\": 0.03779275945503201\n\
|
180 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.2215422276621787,\n\
|
181 |
+
\ \"mc1_stderr\": 0.014537867601301137,\n \"mc2\": 0.35596210654913335,\n\
|
182 |
+
\ \"mc2_stderr\": 0.01360076088943332\n },\n \"harness|winogrande|5\"\
|
183 |
+
: {\n \"acc\": 0.6424625098658248,\n \"acc_stderr\": 0.01347000744392069\n\
|
184 |
+
\ },\n \"harness|drop|3\": {\n \"em\": 0.00985738255033557,\n \
|
185 |
+
\ \"em_stderr\": 0.001011740962658443,\n \"f1\": 0.06222839765100698,\n\
|
186 |
+
\ \"f1_stderr\": 0.0016287678100739308\n },\n \"harness|gsm8k|5\":\
|
187 |
+
\ {\n \"acc\": 0.012130401819560273,\n \"acc_stderr\": 0.003015294242890953\n\
|
188 |
+
\ }\n}\n```"
|
189 |
+
repo_url: https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2
|
190 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
191 |
+
point_of_contact: clementine@hf.co
|
192 |
+
configs:
|
193 |
+
- config_name: harness_arc_challenge_25
|
194 |
+
data_files:
|
195 |
+
- split: 2023_11_18T22_06_22.388098
|
196 |
+
path:
|
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+
- '**/details_harness|arc:challenge|25_2023-11-18T22-06-22.388098.parquet'
|
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+
- split: latest
|
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path:
|
200 |
+
- '**/details_harness|arc:challenge|25_2023-11-18T22-06-22.388098.parquet'
|
201 |
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- config_name: harness_drop_3
|
202 |
+
data_files:
|
203 |
+
- split: 2023_11_18T22_06_22.388098
|
204 |
+
path:
|
205 |
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- '**/details_harness|drop|3_2023-11-18T22-06-22.388098.parquet'
|
206 |
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|
207 |
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path:
|
208 |
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- '**/details_harness|drop|3_2023-11-18T22-06-22.388098.parquet'
|
209 |
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- config_name: harness_gsm8k_5
|
210 |
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data_files:
|
211 |
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- split: 2023_11_18T22_06_22.388098
|
212 |
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path:
|
213 |
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- '**/details_harness|gsm8k|5_2023-11-18T22-06-22.388098.parquet'
|
214 |
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- split: latest
|
215 |
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path:
|
216 |
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- '**/details_harness|gsm8k|5_2023-11-18T22-06-22.388098.parquet'
|
217 |
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- config_name: harness_hellaswag_10
|
218 |
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data_files:
|
219 |
+
- split: 2023_11_18T22_06_22.388098
|
220 |
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path:
|
221 |
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- '**/details_harness|hellaswag|10_2023-11-18T22-06-22.388098.parquet'
|
222 |
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- split: latest
|
223 |
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path:
|
224 |
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- '**/details_harness|hellaswag|10_2023-11-18T22-06-22.388098.parquet'
|
225 |
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- config_name: harness_hendrycksTest_5
|
226 |
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data_files:
|
227 |
+
- split: 2023_11_18T22_06_22.388098
|
228 |
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path:
|
229 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-06-22.388098.parquet'
|
230 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-06-22.388098.parquet'
|
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|
232 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
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|
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|
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|
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|
241 |
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|
242 |
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- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
245 |
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- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_physics|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-human_aging|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
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|
266 |
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-06-22.388098.parquet'
|
286 |
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- split: latest
|
287 |
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path:
|
288 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-06-22.388098.parquet'
|
289 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-06-22.388098.parquet'
|
290 |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-06-22.388098.parquet'
|
291 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-11-18T22-06-22.388098.parquet'
|
292 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-11-18T22-06-22.388098.parquet'
|
293 |
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- '**/details_harness|hendrycksTest-college_biology|5_2023-11-18T22-06-22.388098.parquet'
|
294 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-11-18T22-06-22.388098.parquet'
|
295 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-college_physics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-11-18T22-06-22.388098.parquet'
|
301 |
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- '**/details_harness|hendrycksTest-econometrics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-global_facts|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-11-18T22-06-22.388098.parquet'
|
311 |
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-11-18T22-06-22.388098.parquet'
|
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+
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-11-18T22-06-22.388098.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-11-18T22-06-22.388098.parquet'
|
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|
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|
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T22-06-22.388098.parquet'
|
333 |
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|
334 |
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|
335 |
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|
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|
337 |
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|
338 |
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|
339 |
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|
340 |
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|
341 |
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|
342 |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-06-22.388098.parquet'
|
343 |
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|
344 |
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- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-06-22.388098.parquet'
|
345 |
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- config_name: harness_hendrycksTest_abstract_algebra_5
|
346 |
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data_files:
|
347 |
+
- split: 2023_11_18T22_06_22.388098
|
348 |
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-06-22.388098.parquet'
|
350 |
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- split: latest
|
351 |
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path:
|
352 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-11-18T22-06-22.388098.parquet'
|
353 |
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- config_name: harness_hendrycksTest_anatomy_5
|
354 |
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data_files:
|
355 |
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- split: 2023_11_18T22_06_22.388098
|
356 |
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path:
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|
358 |
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- split: latest
|
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path:
|
360 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-11-18T22-06-22.388098.parquet'
|
361 |
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- config_name: harness_hendrycksTest_astronomy_5
|
362 |
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data_files:
|
363 |
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- split: 2023_11_18T22_06_22.388098
|
364 |
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path:
|
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|
366 |
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- split: latest
|
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path:
|
368 |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-11-18T22-06-22.388098.parquet'
|
369 |
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- config_name: harness_hendrycksTest_business_ethics_5
|
370 |
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data_files:
|
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- split: 2023_11_18T22_06_22.388098
|
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path:
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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530 |
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|
531 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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656 |
+
- '**/details_harness|hendrycksTest-management|5_2023-11-18T22-06-22.388098.parquet'
|
657 |
+
- config_name: harness_hendrycksTest_marketing_5
|
658 |
+
data_files:
|
659 |
+
- split: 2023_11_18T22_06_22.388098
|
660 |
+
path:
|
661 |
+
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T22-06-22.388098.parquet'
|
662 |
+
- split: latest
|
663 |
+
path:
|
664 |
+
- '**/details_harness|hendrycksTest-marketing|5_2023-11-18T22-06-22.388098.parquet'
|
665 |
+
- config_name: harness_hendrycksTest_medical_genetics_5
|
666 |
+
data_files:
|
667 |
+
- split: 2023_11_18T22_06_22.388098
|
668 |
+
path:
|
669 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T22-06-22.388098.parquet'
|
670 |
+
- split: latest
|
671 |
+
path:
|
672 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-11-18T22-06-22.388098.parquet'
|
673 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
674 |
+
data_files:
|
675 |
+
- split: 2023_11_18T22_06_22.388098
|
676 |
+
path:
|
677 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T22-06-22.388098.parquet'
|
678 |
+
- split: latest
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-11-18T22-06-22.388098.parquet'
|
681 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
682 |
+
data_files:
|
683 |
+
- split: 2023_11_18T22_06_22.388098
|
684 |
+
path:
|
685 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T22-06-22.388098.parquet'
|
686 |
+
- split: latest
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-11-18T22-06-22.388098.parquet'
|
689 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
690 |
+
data_files:
|
691 |
+
- split: 2023_11_18T22_06_22.388098
|
692 |
+
path:
|
693 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T22-06-22.388098.parquet'
|
694 |
+
- split: latest
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-11-18T22-06-22.388098.parquet'
|
697 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
698 |
+
data_files:
|
699 |
+
- split: 2023_11_18T22_06_22.388098
|
700 |
+
path:
|
701 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T22-06-22.388098.parquet'
|
702 |
+
- split: latest
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-11-18T22-06-22.388098.parquet'
|
705 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
706 |
+
data_files:
|
707 |
+
- split: 2023_11_18T22_06_22.388098
|
708 |
+
path:
|
709 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T22-06-22.388098.parquet'
|
710 |
+
- split: latest
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-11-18T22-06-22.388098.parquet'
|
713 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
714 |
+
data_files:
|
715 |
+
- split: 2023_11_18T22_06_22.388098
|
716 |
+
path:
|
717 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-06-22.388098.parquet'
|
718 |
+
- split: latest
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-11-18T22-06-22.388098.parquet'
|
721 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
722 |
+
data_files:
|
723 |
+
- split: 2023_11_18T22_06_22.388098
|
724 |
+
path:
|
725 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-06-22.388098.parquet'
|
726 |
+
- split: latest
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-11-18T22-06-22.388098.parquet'
|
729 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
730 |
+
data_files:
|
731 |
+
- split: 2023_11_18T22_06_22.388098
|
732 |
+
path:
|
733 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T22-06-22.388098.parquet'
|
734 |
+
- split: latest
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-11-18T22-06-22.388098.parquet'
|
737 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
738 |
+
data_files:
|
739 |
+
- split: 2023_11_18T22_06_22.388098
|
740 |
+
path:
|
741 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-06-22.388098.parquet'
|
742 |
+
- split: latest
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-11-18T22-06-22.388098.parquet'
|
745 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
746 |
+
data_files:
|
747 |
+
- split: 2023_11_18T22_06_22.388098
|
748 |
+
path:
|
749 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-06-22.388098.parquet'
|
750 |
+
- split: latest
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-11-18T22-06-22.388098.parquet'
|
753 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
754 |
+
data_files:
|
755 |
+
- split: 2023_11_18T22_06_22.388098
|
756 |
+
path:
|
757 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-06-22.388098.parquet'
|
758 |
+
- split: latest
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-11-18T22-06-22.388098.parquet'
|
761 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
762 |
+
data_files:
|
763 |
+
- split: 2023_11_18T22_06_22.388098
|
764 |
+
path:
|
765 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-06-22.388098.parquet'
|
766 |
+
- split: latest
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-11-18T22-06-22.388098.parquet'
|
769 |
+
- config_name: harness_hendrycksTest_sociology_5
|
770 |
+
data_files:
|
771 |
+
- split: 2023_11_18T22_06_22.388098
|
772 |
+
path:
|
773 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-06-22.388098.parquet'
|
774 |
+
- split: latest
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-11-18T22-06-22.388098.parquet'
|
777 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
778 |
+
data_files:
|
779 |
+
- split: 2023_11_18T22_06_22.388098
|
780 |
+
path:
|
781 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-06-22.388098.parquet'
|
782 |
+
- split: latest
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-11-18T22-06-22.388098.parquet'
|
785 |
+
- config_name: harness_hendrycksTest_virology_5
|
786 |
+
data_files:
|
787 |
+
- split: 2023_11_18T22_06_22.388098
|
788 |
+
path:
|
789 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-06-22.388098.parquet'
|
790 |
+
- split: latest
|
791 |
+
path:
|
792 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-11-18T22-06-22.388098.parquet'
|
793 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
794 |
+
data_files:
|
795 |
+
- split: 2023_11_18T22_06_22.388098
|
796 |
+
path:
|
797 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-06-22.388098.parquet'
|
798 |
+
- split: latest
|
799 |
+
path:
|
800 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-11-18T22-06-22.388098.parquet'
|
801 |
+
- config_name: harness_truthfulqa_mc_0
|
802 |
+
data_files:
|
803 |
+
- split: 2023_11_18T22_06_22.388098
|
804 |
+
path:
|
805 |
+
- '**/details_harness|truthfulqa:mc|0_2023-11-18T22-06-22.388098.parquet'
|
806 |
+
- split: latest
|
807 |
+
path:
|
808 |
+
- '**/details_harness|truthfulqa:mc|0_2023-11-18T22-06-22.388098.parquet'
|
809 |
+
- config_name: harness_winogrande_5
|
810 |
+
data_files:
|
811 |
+
- split: 2023_11_18T22_06_22.388098
|
812 |
+
path:
|
813 |
+
- '**/details_harness|winogrande|5_2023-11-18T22-06-22.388098.parquet'
|
814 |
+
- split: latest
|
815 |
+
path:
|
816 |
+
- '**/details_harness|winogrande|5_2023-11-18T22-06-22.388098.parquet'
|
817 |
+
- config_name: results
|
818 |
+
data_files:
|
819 |
+
- split: 2023_11_18T22_06_22.388098
|
820 |
+
path:
|
821 |
+
- results_2023-11-18T22-06-22.388098.parquet
|
822 |
+
- split: latest
|
823 |
+
path:
|
824 |
+
- results_2023-11-18T22-06-22.388098.parquet
|
825 |
+
---
|
826 |
+
|
827 |
+
# Dataset Card for Evaluation run of AI-Sweden-Models/gpt-sw3-6.7b-v2
|
828 |
+
|
829 |
+
## Dataset Description
|
830 |
+
|
831 |
+
- **Homepage:**
|
832 |
+
- **Repository:** https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2
|
833 |
+
- **Paper:**
|
834 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
835 |
+
- **Point of Contact:** clementine@hf.co
|
836 |
+
|
837 |
+
### Dataset Summary
|
838 |
+
|
839 |
+
Dataset automatically created during the evaluation run of model [AI-Sweden-Models/gpt-sw3-6.7b-v2](https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
840 |
+
|
841 |
+
The dataset is composed of 64 configuration, each one coresponding to one of the evaluated task.
|
842 |
+
|
843 |
+
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.
|
844 |
+
|
845 |
+
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)).
|
846 |
+
|
847 |
+
To load the details from a run, you can for instance do the following:
|
848 |
+
```python
|
849 |
+
from datasets import load_dataset
|
850 |
+
data = load_dataset("open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-6.7b-v2_public",
|
851 |
+
"harness_winogrande_5",
|
852 |
+
split="train")
|
853 |
+
```
|
854 |
+
|
855 |
+
## Latest results
|
856 |
+
|
857 |
+
These are the [latest results from run 2023-11-18T22:06:22.388098](https://huggingface.co/datasets/open-llm-leaderboard/details_AI-Sweden-Models__gpt-sw3-6.7b-v2_public/blob/main/results_2023-11-18T22-06-22.388098.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):
|
858 |
+
|
859 |
+
```python
|
860 |
+
{
|
861 |
+
"all": {
|
862 |
+
"acc": 0.3057412972161726,
|
863 |
+
"acc_stderr": 0.0324287022369866,
|
864 |
+
"acc_norm": 0.3085950645885834,
|
865 |
+
"acc_norm_stderr": 0.03324907491950671,
|
866 |
+
"mc1": 0.2215422276621787,
|
867 |
+
"mc1_stderr": 0.014537867601301137,
|
868 |
+
"mc2": 0.35596210654913335,
|
869 |
+
"mc2_stderr": 0.01360076088943332,
|
870 |
+
"em": 0.00985738255033557,
|
871 |
+
"em_stderr": 0.001011740962658443,
|
872 |
+
"f1": 0.06222839765100698,
|
873 |
+
"f1_stderr": 0.0016287678100739308
|
874 |
+
},
|
875 |
+
"harness|arc:challenge|25": {
|
876 |
+
"acc": 0.35409556313993173,
|
877 |
+
"acc_stderr": 0.01397545412275656,
|
878 |
+
"acc_norm": 0.39419795221843,
|
879 |
+
"acc_norm_stderr": 0.014280522667467327
|
880 |
+
},
|
881 |
+
"harness|hellaswag|10": {
|
882 |
+
"acc": 0.492531368253336,
|
883 |
+
"acc_stderr": 0.004989224715784535,
|
884 |
+
"acc_norm": 0.6639115714001195,
|
885 |
+
"acc_norm_stderr": 0.004714041652598593
|
886 |
+
},
|
887 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
888 |
+
"acc": 0.28,
|
889 |
+
"acc_stderr": 0.04512608598542129,
|
890 |
+
"acc_norm": 0.28,
|
891 |
+
"acc_norm_stderr": 0.04512608598542129
|
892 |
+
},
|
893 |
+
"harness|hendrycksTest-anatomy|5": {
|
894 |
+
"acc": 0.34074074074074073,
|
895 |
+
"acc_stderr": 0.04094376269996794,
|
896 |
+
"acc_norm": 0.34074074074074073,
|
897 |
+
"acc_norm_stderr": 0.04094376269996794
|
898 |
+
},
|
899 |
+
"harness|hendrycksTest-astronomy|5": {
|
900 |
+
"acc": 0.23026315789473684,
|
901 |
+
"acc_stderr": 0.03426059424403165,
|
902 |
+
"acc_norm": 0.23026315789473684,
|
903 |
+
"acc_norm_stderr": 0.03426059424403165
|
904 |
+
},
|
905 |
+
"harness|hendrycksTest-business_ethics|5": {
|
906 |
+
"acc": 0.37,
|
907 |
+
"acc_stderr": 0.04852365870939099,
|
908 |
+
"acc_norm": 0.37,
|
909 |
+
"acc_norm_stderr": 0.04852365870939099
|
910 |
+
},
|
911 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
912 |
+
"acc": 0.39622641509433965,
|
913 |
+
"acc_stderr": 0.030102793781791194,
|
914 |
+
"acc_norm": 0.39622641509433965,
|
915 |
+
"acc_norm_stderr": 0.030102793781791194
|
916 |
+
},
|
917 |
+
"harness|hendrycksTest-college_biology|5": {
|
918 |
+
"acc": 0.3194444444444444,
|
919 |
+
"acc_stderr": 0.038990736873573344,
|
920 |
+
"acc_norm": 0.3194444444444444,
|
921 |
+
"acc_norm_stderr": 0.038990736873573344
|
922 |
+
},
|
923 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
924 |
+
"acc": 0.2,
|
925 |
+
"acc_stderr": 0.04020151261036846,
|
926 |
+
"acc_norm": 0.2,
|
927 |
+
"acc_norm_stderr": 0.04020151261036846
|
928 |
+
},
|
929 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
930 |
+
"acc": 0.3,
|
931 |
+
"acc_stderr": 0.046056618647183814,
|
932 |
+
"acc_norm": 0.3,
|
933 |
+
"acc_norm_stderr": 0.046056618647183814
|
934 |
+
},
|
935 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
936 |
+
"acc": 0.31,
|
937 |
+
"acc_stderr": 0.04648231987117316,
|
938 |
+
"acc_norm": 0.31,
|
939 |
+
"acc_norm_stderr": 0.04648231987117316
|
940 |
+
},
|
941 |
+
"harness|hendrycksTest-college_medicine|5": {
|
942 |
+
"acc": 0.30057803468208094,
|
943 |
+
"acc_stderr": 0.0349610148119118,
|
944 |
+
"acc_norm": 0.30057803468208094,
|
945 |
+
"acc_norm_stderr": 0.0349610148119118
|
946 |
+
},
|
947 |
+
"harness|hendrycksTest-college_physics|5": {
|
948 |
+
"acc": 0.14705882352941177,
|
949 |
+
"acc_stderr": 0.03524068951567447,
|
950 |
+
"acc_norm": 0.14705882352941177,
|
951 |
+
"acc_norm_stderr": 0.03524068951567447
|
952 |
+
},
|
953 |
+
"harness|hendrycksTest-computer_security|5": {
|
954 |
+
"acc": 0.32,
|
955 |
+
"acc_stderr": 0.04688261722621504,
|
956 |
+
"acc_norm": 0.32,
|
957 |
+
"acc_norm_stderr": 0.04688261722621504
|
958 |
+
},
|
959 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
960 |
+
"acc": 0.3404255319148936,
|
961 |
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"harness|hendrycksTest-nutrition|5": {
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"harness|hendrycksTest-prehistory|5": {
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"harness|hendrycksTest-professional_medicine|5": {
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"harness|hendrycksTest-public_relations|5": {
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"harness|hendrycksTest-security_studies|5": {
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1248 |
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}
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1249 |
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}
|
1250 |
+
```
|
1251 |
+
|
1252 |
+
### Supported Tasks and Leaderboards
|
1253 |
+
|
1254 |
+
[More Information Needed]
|
1255 |
+
|
1256 |
+
### Languages
|
1257 |
+
|
1258 |
+
[More Information Needed]
|
1259 |
+
|
1260 |
+
## Dataset Structure
|
1261 |
+
|
1262 |
+
### Data Instances
|
1263 |
+
|
1264 |
+
[More Information Needed]
|
1265 |
+
|
1266 |
+
### Data Fields
|
1267 |
+
|
1268 |
+
[More Information Needed]
|
1269 |
+
|
1270 |
+
### Data Splits
|
1271 |
+
|
1272 |
+
[More Information Needed]
|
1273 |
+
|
1274 |
+
## Dataset Creation
|
1275 |
+
|
1276 |
+
### Curation Rationale
|
1277 |
+
|
1278 |
+
[More Information Needed]
|
1279 |
+
|
1280 |
+
### Source Data
|
1281 |
+
|
1282 |
+
#### Initial Data Collection and Normalization
|
1283 |
+
|
1284 |
+
[More Information Needed]
|
1285 |
+
|
1286 |
+
#### Who are the source language producers?
|
1287 |
+
|
1288 |
+
[More Information Needed]
|
1289 |
+
|
1290 |
+
### Annotations
|
1291 |
+
|
1292 |
+
#### Annotation process
|
1293 |
+
|
1294 |
+
[More Information Needed]
|
1295 |
+
|
1296 |
+
#### Who are the annotators?
|
1297 |
+
|
1298 |
+
[More Information Needed]
|
1299 |
+
|
1300 |
+
### Personal and Sensitive Information
|
1301 |
+
|
1302 |
+
[More Information Needed]
|
1303 |
+
|
1304 |
+
## Considerations for Using the Data
|
1305 |
+
|
1306 |
+
### Social Impact of Dataset
|
1307 |
+
|
1308 |
+
[More Information Needed]
|
1309 |
+
|
1310 |
+
### Discussion of Biases
|
1311 |
+
|
1312 |
+
[More Information Needed]
|
1313 |
+
|
1314 |
+
### Other Known Limitations
|
1315 |
+
|
1316 |
+
[More Information Needed]
|
1317 |
+
|
1318 |
+
## Additional Information
|
1319 |
+
|
1320 |
+
### Dataset Curators
|
1321 |
+
|
1322 |
+
[More Information Needed]
|
1323 |
+
|
1324 |
+
### Licensing Information
|
1325 |
+
|
1326 |
+
[More Information Needed]
|
1327 |
+
|
1328 |
+
### Citation Information
|
1329 |
+
|
1330 |
+
[More Information Needed]
|
1331 |
+
|
1332 |
+
### Contributions
|
1333 |
+
|
1334 |
+
[More Information Needed]
|