open-llm-bot
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Commit
•
6fd7cb4
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Parent(s):
3838233
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README.md
ADDED
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---
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pretty_name: Evaluation run of Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B
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dataset_summary: "Dataset automatically created during the evaluation run of model\
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\ [Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B](https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B)\
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
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\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
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\ found as a specific split in each configuration, the split being named using the\
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\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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\nAn additional configuration \"results\" store all the aggregated results of the\
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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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\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Weyaxi__Nous-Hermes-2-SUS-Chat-2x34B\"\
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
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These are the [latest results from run 2024-01-05T07:39:39.668066](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Nous-Hermes-2-SUS-Chat-2x34B/blob/main/results_2024-01-05T07-39-39.668066.json)(note\
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\ that their might be results for other tasks in the repos if successive evals didn't\
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\ cover the same tasks. You find each in the results and the \"latest\" split for\
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\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.7631944050711235,\n\
|
20 |
+
\ \"acc_stderr\": 0.02806486884476764,\n \"acc_norm\": 0.7662955144547114,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.028608371446490685,\n \"mc1\": 0.4149326805385557,\n\
|
22 |
+
\ \"mc1_stderr\": 0.017248314465805978,\n \"mc2\": 0.5741628635210513,\n\
|
23 |
+
\ \"mc2_stderr\": 0.01486973924236114\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.6382252559726962,\n \"acc_stderr\": 0.014041957945038076,\n\
|
25 |
+
\ \"acc_norm\": 0.6680887372013652,\n \"acc_norm_stderr\": 0.013760988200880534\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.657239593706433,\n\
|
27 |
+
\ \"acc_stderr\": 0.004736621698861176,\n \"acc_norm\": 0.8522206731726748,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.003541558263779117\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \
|
30 |
+
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.7481481481481481,\n\
|
32 |
+
\ \"acc_stderr\": 0.0374985070917402,\n \"acc_norm\": 0.7481481481481481,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.0374985070917402\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.9013157894736842,\n \"acc_stderr\": 0.024270227737522715,\n\
|
35 |
+
\ \"acc_norm\": 0.9013157894736842,\n \"acc_norm_stderr\": 0.024270227737522715\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.79,\n\
|
37 |
+
\ \"acc_stderr\": 0.040936018074033256,\n \"acc_norm\": 0.79,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.040936018074033256\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.7849056603773585,\n \"acc_stderr\": 0.025288394502891366,\n\
|
40 |
+
\ \"acc_norm\": 0.7849056603773585,\n \"acc_norm_stderr\": 0.025288394502891366\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8958333333333334,\n\
|
42 |
+
\ \"acc_stderr\": 0.025545239210256917,\n \"acc_norm\": 0.8958333333333334,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.025545239210256917\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \
|
45 |
+
\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.05016135580465919\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
47 |
+
: 0.66,\n \"acc_stderr\": 0.04760952285695237,\n \"acc_norm\": 0.66,\n\
|
48 |
+
\ \"acc_norm_stderr\": 0.04760952285695237\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
|
50 |
+
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7109826589595376,\n\
|
52 |
+
\ \"acc_stderr\": 0.03456425745086999,\n \"acc_norm\": 0.7109826589595376,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03456425745086999\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.5490196078431373,\n \"acc_stderr\": 0.04951218252396262,\n\
|
55 |
+
\ \"acc_norm\": 0.5490196078431373,\n \"acc_norm_stderr\": 0.04951218252396262\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.82,\n \"acc_stderr\": 0.03861229196653694,\n \"acc_norm\": 0.82,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.03861229196653694\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.7787234042553192,\n \"acc_stderr\": 0.027136349602424056,\n\
|
60 |
+
\ \"acc_norm\": 0.7787234042553192,\n \"acc_norm_stderr\": 0.027136349602424056\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.5789473684210527,\n\
|
62 |
+
\ \"acc_stderr\": 0.046446020912223177,\n \"acc_norm\": 0.5789473684210527,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.046446020912223177\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.7862068965517242,\n \"acc_stderr\": 0.034165204477475494,\n\
|
65 |
+
\ \"acc_norm\": 0.7862068965517242,\n \"acc_norm_stderr\": 0.034165204477475494\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.6798941798941799,\n \"acc_stderr\": 0.024026846392873506,\n \"\
|
68 |
+
acc_norm\": 0.6798941798941799,\n \"acc_norm_stderr\": 0.024026846392873506\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5634920634920635,\n\
|
70 |
+
\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.5634920634920635,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.55,\n \"acc_stderr\": 0.05,\n \"acc_norm\"\
|
73 |
+
: 0.55,\n \"acc_norm_stderr\": 0.05\n },\n \"harness|hendrycksTest-high_school_biology|5\"\
|
74 |
+
: {\n \"acc\": 0.8935483870967742,\n \"acc_stderr\": 0.017545102951656635,\n\
|
75 |
+
\ \"acc_norm\": 0.8935483870967742,\n \"acc_norm_stderr\": 0.017545102951656635\n\
|
76 |
+
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
|
77 |
+
: 0.6502463054187192,\n \"acc_stderr\": 0.03355400904969566,\n \"\
|
78 |
+
acc_norm\": 0.6502463054187192,\n \"acc_norm_stderr\": 0.03355400904969566\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.83,\n \"acc_stderr\": 0.0377525168068637,\n \"acc_norm\"\
|
81 |
+
: 0.83,\n \"acc_norm_stderr\": 0.0377525168068637\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.8727272727272727,\n \"acc_stderr\": 0.026024657651656194,\n\
|
83 |
+
\ \"acc_norm\": 0.8727272727272727,\n \"acc_norm_stderr\": 0.026024657651656194\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.8888888888888888,\n \"acc_stderr\": 0.02239078763821677,\n \"\
|
86 |
+
acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.02239078763821677\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.9740932642487047,\n \"acc_stderr\": 0.01146452335695318,\n\
|
89 |
+
\ \"acc_norm\": 0.9740932642487047,\n \"acc_norm_stderr\": 0.01146452335695318\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.8,\n \"acc_stderr\": 0.020280805062535726,\n \"acc_norm\"\
|
92 |
+
: 0.8,\n \"acc_norm_stderr\": 0.020280805062535726\n },\n \"harness|hendrycksTest-high_school_mathematics|5\"\
|
93 |
+
: {\n \"acc\": 0.48518518518518516,\n \"acc_stderr\": 0.0304721532493286,\n\
|
94 |
+
\ \"acc_norm\": 0.48518518518518516,\n \"acc_norm_stderr\": 0.0304721532493286\n\
|
95 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
96 |
+
\ \"acc\": 0.8571428571428571,\n \"acc_stderr\": 0.022730208119306535,\n\
|
97 |
+
\ \"acc_norm\": 0.8571428571428571,\n \"acc_norm_stderr\": 0.022730208119306535\n\
|
98 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
99 |
+
: 0.5099337748344371,\n \"acc_stderr\": 0.04081677107248436,\n \"\
|
100 |
+
acc_norm\": 0.5099337748344371,\n \"acc_norm_stderr\": 0.04081677107248436\n\
|
101 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
102 |
+
: 0.9229357798165138,\n \"acc_stderr\": 0.011434381698911096,\n \"\
|
103 |
+
acc_norm\": 0.9229357798165138,\n \"acc_norm_stderr\": 0.011434381698911096\n\
|
104 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
105 |
+
: 0.6759259259259259,\n \"acc_stderr\": 0.03191923445686186,\n \"\
|
106 |
+
acc_norm\": 0.6759259259259259,\n \"acc_norm_stderr\": 0.03191923445686186\n\
|
107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
108 |
+
: 0.9166666666666666,\n \"acc_stderr\": 0.019398452135813905,\n \"\
|
109 |
+
acc_norm\": 0.9166666666666666,\n \"acc_norm_stderr\": 0.019398452135813905\n\
|
110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
111 |
+
acc\": 0.9113924050632911,\n \"acc_stderr\": 0.018498315206865387,\n \
|
112 |
+
\ \"acc_norm\": 0.9113924050632911,\n \"acc_norm_stderr\": 0.018498315206865387\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7892376681614349,\n\
|
114 |
+
\ \"acc_stderr\": 0.02737309550054019,\n \"acc_norm\": 0.7892376681614349,\n\
|
115 |
+
\ \"acc_norm_stderr\": 0.02737309550054019\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
116 |
+
: {\n \"acc\": 0.8854961832061069,\n \"acc_stderr\": 0.027927473753597446,\n\
|
117 |
+
\ \"acc_norm\": 0.8854961832061069,\n \"acc_norm_stderr\": 0.027927473753597446\n\
|
118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
119 |
+
\ 0.9090909090909091,\n \"acc_stderr\": 0.02624319405407388,\n \"\
|
120 |
+
acc_norm\": 0.9090909090909091,\n \"acc_norm_stderr\": 0.02624319405407388\n\
|
121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8888888888888888,\n\
|
122 |
+
\ \"acc_stderr\": 0.03038159675665168,\n \"acc_norm\": 0.8888888888888888,\n\
|
123 |
+
\ \"acc_norm_stderr\": 0.03038159675665168\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
124 |
+
: {\n \"acc\": 0.8650306748466258,\n \"acc_stderr\": 0.026845765054553855,\n\
|
125 |
+
\ \"acc_norm\": 0.8650306748466258,\n \"acc_norm_stderr\": 0.026845765054553855\n\
|
126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.6071428571428571,\n\
|
127 |
+
\ \"acc_stderr\": 0.04635550135609976,\n \"acc_norm\": 0.6071428571428571,\n\
|
128 |
+
\ \"acc_norm_stderr\": 0.04635550135609976\n },\n \"harness|hendrycksTest-management|5\"\
|
129 |
+
: {\n \"acc\": 0.9320388349514563,\n \"acc_stderr\": 0.02491995914251447,\n\
|
130 |
+
\ \"acc_norm\": 0.9320388349514563,\n \"acc_norm_stderr\": 0.02491995914251447\n\
|
131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9316239316239316,\n\
|
132 |
+
\ \"acc_stderr\": 0.01653462768431136,\n \"acc_norm\": 0.9316239316239316,\n\
|
133 |
+
\ \"acc_norm_stderr\": 0.01653462768431136\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
134 |
+
: {\n \"acc\": 0.87,\n \"acc_stderr\": 0.033799766898963086,\n \
|
135 |
+
\ \"acc_norm\": 0.87,\n \"acc_norm_stderr\": 0.033799766898963086\n \
|
136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.9054916985951469,\n\
|
137 |
+
\ \"acc_stderr\": 0.010461015338193068,\n \"acc_norm\": 0.9054916985951469,\n\
|
138 |
+
\ \"acc_norm_stderr\": 0.010461015338193068\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
139 |
+
: {\n \"acc\": 0.8265895953757225,\n \"acc_stderr\": 0.020383229551135033,\n\
|
140 |
+
\ \"acc_norm\": 0.8265895953757225,\n \"acc_norm_stderr\": 0.020383229551135033\n\
|
141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.641340782122905,\n\
|
142 |
+
\ \"acc_stderr\": 0.016040454426164474,\n \"acc_norm\": 0.641340782122905,\n\
|
143 |
+
\ \"acc_norm_stderr\": 0.016040454426164474\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
144 |
+
: {\n \"acc\": 0.8594771241830066,\n \"acc_stderr\": 0.019899435463539946,\n\
|
145 |
+
\ \"acc_norm\": 0.8594771241830066,\n \"acc_norm_stderr\": 0.019899435463539946\n\
|
146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8327974276527331,\n\
|
147 |
+
\ \"acc_stderr\": 0.02119387252803497,\n \"acc_norm\": 0.8327974276527331,\n\
|
148 |
+
\ \"acc_norm_stderr\": 0.02119387252803497\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
149 |
+
: {\n \"acc\": 0.8919753086419753,\n \"acc_stderr\": 0.017271763084483527,\n\
|
150 |
+
\ \"acc_norm\": 0.8919753086419753,\n \"acc_norm_stderr\": 0.017271763084483527\n\
|
151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
152 |
+
acc\": 0.6382978723404256,\n \"acc_stderr\": 0.02866382014719949,\n \
|
153 |
+
\ \"acc_norm\": 0.6382978723404256,\n \"acc_norm_stderr\": 0.02866382014719949\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.6016949152542372,\n\
|
155 |
+
\ \"acc_stderr\": 0.012503310565166233,\n \"acc_norm\": 0.6016949152542372,\n\
|
156 |
+
\ \"acc_norm_stderr\": 0.012503310565166233\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
157 |
+
: {\n \"acc\": 0.8125,\n \"acc_stderr\": 0.023709788253811766,\n \
|
158 |
+
\ \"acc_norm\": 0.8125,\n \"acc_norm_stderr\": 0.023709788253811766\n\
|
159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
160 |
+
acc\": 0.826797385620915,\n \"acc_stderr\": 0.01530932926696914,\n \
|
161 |
+
\ \"acc_norm\": 0.826797385620915,\n \"acc_norm_stderr\": 0.01530932926696914\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7090909090909091,\n\
|
163 |
+
\ \"acc_stderr\": 0.04350271442923243,\n \"acc_norm\": 0.7090909090909091,\n\
|
164 |
+
\ \"acc_norm_stderr\": 0.04350271442923243\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
165 |
+
: {\n \"acc\": 0.8244897959183674,\n \"acc_stderr\": 0.02435280072297001,\n\
|
166 |
+
\ \"acc_norm\": 0.8244897959183674,\n \"acc_norm_stderr\": 0.02435280072297001\n\
|
167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8905472636815921,\n\
|
168 |
+
\ \"acc_stderr\": 0.022076326101824664,\n \"acc_norm\": 0.8905472636815921,\n\
|
169 |
+
\ \"acc_norm_stderr\": 0.022076326101824664\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
170 |
+
: {\n \"acc\": 0.92,\n \"acc_stderr\": 0.0272659924344291,\n \
|
171 |
+
\ \"acc_norm\": 0.92,\n \"acc_norm_stderr\": 0.0272659924344291\n },\n\
|
172 |
+
\ \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.572289156626506,\n\
|
173 |
+
\ \"acc_stderr\": 0.03851597683718533,\n \"acc_norm\": 0.572289156626506,\n\
|
174 |
+
\ \"acc_norm_stderr\": 0.03851597683718533\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
175 |
+
: {\n \"acc\": 0.8830409356725146,\n \"acc_stderr\": 0.02464806896136616,\n\
|
176 |
+
\ \"acc_norm\": 0.8830409356725146,\n \"acc_norm_stderr\": 0.02464806896136616\n\
|
177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.4149326805385557,\n\
|
178 |
+
\ \"mc1_stderr\": 0.017248314465805978,\n \"mc2\": 0.5741628635210513,\n\
|
179 |
+
\ \"mc2_stderr\": 0.01486973924236114\n },\n \"harness|winogrande|5\"\
|
180 |
+
: {\n \"acc\": 0.8374112075769534,\n \"acc_stderr\": 0.010370455551343324\n\
|
181 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.7308567096285065,\n \
|
182 |
+
\ \"acc_stderr\": 0.012216595457292733\n }\n}\n```"
|
183 |
+
repo_url: https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B
|
184 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
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+
point_of_contact: clementine@hf.co
|
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+
configs:
|
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+
- config_name: harness_arc_challenge_25
|
188 |
+
data_files:
|
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- split: 2024_01_05T07_39_39.668066
|
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path:
|
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- '**/details_harness|arc:challenge|25_2024-01-05T07-39-39.668066.parquet'
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path:
|
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- '**/details_harness|arc:challenge|25_2024-01-05T07-39-39.668066.parquet'
|
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|
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|
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- split: 2024_01_05T07_39_39.668066
|
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|
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|
202 |
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- '**/details_harness|gsm8k|5_2024-01-05T07-39-39.668066.parquet'
|
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- config_name: harness_hellaswag_10
|
204 |
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|
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- split: 2024_01_05T07_39_39.668066
|
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|
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- '**/details_harness|hellaswag|10_2024-01-05T07-39-39.668066.parquet'
|
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|
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path:
|
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- '**/details_harness|hellaswag|10_2024-01-05T07-39-39.668066.parquet'
|
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- config_name: harness_hendrycksTest_5
|
212 |
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|
213 |
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- split: 2024_01_05T07_39_39.668066
|
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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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|
323 |
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|
324 |
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|
325 |
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|
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|
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|
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|
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|
330 |
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- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T07-39-39.668066.parquet'
|
331 |
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- config_name: harness_hendrycksTest_abstract_algebra_5
|
332 |
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data_files:
|
333 |
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- split: 2024_01_05T07_39_39.668066
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T07-39-39.668066.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T07-39-39.668066.parquet'
|
339 |
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- config_name: harness_hendrycksTest_anatomy_5
|
340 |
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data_files:
|
341 |
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- split: 2024_01_05T07_39_39.668066
|
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path:
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T07-39-39.668066.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-01-05T07-39-39.668066.parquet'
|
347 |
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- config_name: harness_hendrycksTest_astronomy_5
|
348 |
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data_files:
|
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- split: 2024_01_05T07_39_39.668066
|
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path:
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T07-39-39.668066.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T07-39-39.668066.parquet'
|
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- config_name: harness_hendrycksTest_business_ethics_5
|
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data_files:
|
357 |
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- split: 2024_01_05T07_39_39.668066
|
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path:
|
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|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T07-39-39.668066.parquet'
|
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- config_name: harness_hendrycksTest_clinical_knowledge_5
|
364 |
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data_files:
|
365 |
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- split: 2024_01_05T07_39_39.668066
|
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|
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|
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- split: latest
|
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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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|
419 |
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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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436 |
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|
437 |
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|
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|
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|
441 |
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|
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|
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|
444 |
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|
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|
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|
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|
449 |
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|
450 |
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|
451 |
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|
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|
453 |
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|
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|
457 |
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|
458 |
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|
459 |
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|
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|
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|
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|
465 |
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|
466 |
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|
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|
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469 |
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|
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|
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|
476 |
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|
478 |
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|
480 |
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|
481 |
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|
482 |
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|
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|
484 |
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|
486 |
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487 |
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|
488 |
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
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|
494 |
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|
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|
497 |
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|
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
504 |
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|
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|
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|
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|
508 |
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|
509 |
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|
510 |
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|
512 |
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|
513 |
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|
514 |
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|
515 |
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|
516 |
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|
517 |
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|
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|
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|
521 |
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|
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|
523 |
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|
524 |
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|
525 |
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|
526 |
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|
528 |
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|
529 |
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|
530 |
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|
531 |
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|
532 |
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533 |
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|
534 |
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|
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|
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|
539 |
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|
540 |
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|
541 |
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|
542 |
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|
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|
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|
547 |
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|
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|
550 |
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|
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|
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|
555 |
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|
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|
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|
560 |
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|
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|
562 |
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|
563 |
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|
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|
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|
566 |
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|
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|
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570 |
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|
571 |
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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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|
584 |
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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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|
603 |
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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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|
611 |
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|
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|
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|
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|
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618 |
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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623 |
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|
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|
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|
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|
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|
629 |
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|
630 |
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|
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|
637 |
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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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|
650 |
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|
651 |
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|
652 |
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|
653 |
+
- split: 2024_01_05T07_39_39.668066
|
654 |
+
path:
|
655 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T07-39-39.668066.parquet'
|
656 |
+
- split: latest
|
657 |
+
path:
|
658 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-01-05T07-39-39.668066.parquet'
|
659 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
660 |
+
data_files:
|
661 |
+
- split: 2024_01_05T07_39_39.668066
|
662 |
+
path:
|
663 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T07-39-39.668066.parquet'
|
664 |
+
- split: latest
|
665 |
+
path:
|
666 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T07-39-39.668066.parquet'
|
667 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
668 |
+
data_files:
|
669 |
+
- split: 2024_01_05T07_39_39.668066
|
670 |
+
path:
|
671 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T07-39-39.668066.parquet'
|
672 |
+
- split: latest
|
673 |
+
path:
|
674 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T07-39-39.668066.parquet'
|
675 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
676 |
+
data_files:
|
677 |
+
- split: 2024_01_05T07_39_39.668066
|
678 |
+
path:
|
679 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T07-39-39.668066.parquet'
|
680 |
+
- split: latest
|
681 |
+
path:
|
682 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T07-39-39.668066.parquet'
|
683 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
684 |
+
data_files:
|
685 |
+
- split: 2024_01_05T07_39_39.668066
|
686 |
+
path:
|
687 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T07-39-39.668066.parquet'
|
688 |
+
- split: latest
|
689 |
+
path:
|
690 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T07-39-39.668066.parquet'
|
691 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
692 |
+
data_files:
|
693 |
+
- split: 2024_01_05T07_39_39.668066
|
694 |
+
path:
|
695 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T07-39-39.668066.parquet'
|
696 |
+
- split: latest
|
697 |
+
path:
|
698 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T07-39-39.668066.parquet'
|
699 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
700 |
+
data_files:
|
701 |
+
- split: 2024_01_05T07_39_39.668066
|
702 |
+
path:
|
703 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T07-39-39.668066.parquet'
|
704 |
+
- split: latest
|
705 |
+
path:
|
706 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T07-39-39.668066.parquet'
|
707 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
708 |
+
data_files:
|
709 |
+
- split: 2024_01_05T07_39_39.668066
|
710 |
+
path:
|
711 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T07-39-39.668066.parquet'
|
712 |
+
- split: latest
|
713 |
+
path:
|
714 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T07-39-39.668066.parquet'
|
715 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
716 |
+
data_files:
|
717 |
+
- split: 2024_01_05T07_39_39.668066
|
718 |
+
path:
|
719 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T07-39-39.668066.parquet'
|
720 |
+
- split: latest
|
721 |
+
path:
|
722 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T07-39-39.668066.parquet'
|
723 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
724 |
+
data_files:
|
725 |
+
- split: 2024_01_05T07_39_39.668066
|
726 |
+
path:
|
727 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T07-39-39.668066.parquet'
|
728 |
+
- split: latest
|
729 |
+
path:
|
730 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T07-39-39.668066.parquet'
|
731 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
732 |
+
data_files:
|
733 |
+
- split: 2024_01_05T07_39_39.668066
|
734 |
+
path:
|
735 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T07-39-39.668066.parquet'
|
736 |
+
- split: latest
|
737 |
+
path:
|
738 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T07-39-39.668066.parquet'
|
739 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
740 |
+
data_files:
|
741 |
+
- split: 2024_01_05T07_39_39.668066
|
742 |
+
path:
|
743 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T07-39-39.668066.parquet'
|
744 |
+
- split: latest
|
745 |
+
path:
|
746 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T07-39-39.668066.parquet'
|
747 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
748 |
+
data_files:
|
749 |
+
- split: 2024_01_05T07_39_39.668066
|
750 |
+
path:
|
751 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T07-39-39.668066.parquet'
|
752 |
+
- split: latest
|
753 |
+
path:
|
754 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T07-39-39.668066.parquet'
|
755 |
+
- config_name: harness_hendrycksTest_sociology_5
|
756 |
+
data_files:
|
757 |
+
- split: 2024_01_05T07_39_39.668066
|
758 |
+
path:
|
759 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T07-39-39.668066.parquet'
|
760 |
+
- split: latest
|
761 |
+
path:
|
762 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T07-39-39.668066.parquet'
|
763 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
764 |
+
data_files:
|
765 |
+
- split: 2024_01_05T07_39_39.668066
|
766 |
+
path:
|
767 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T07-39-39.668066.parquet'
|
768 |
+
- split: latest
|
769 |
+
path:
|
770 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T07-39-39.668066.parquet'
|
771 |
+
- config_name: harness_hendrycksTest_virology_5
|
772 |
+
data_files:
|
773 |
+
- split: 2024_01_05T07_39_39.668066
|
774 |
+
path:
|
775 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T07-39-39.668066.parquet'
|
776 |
+
- split: latest
|
777 |
+
path:
|
778 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T07-39-39.668066.parquet'
|
779 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
780 |
+
data_files:
|
781 |
+
- split: 2024_01_05T07_39_39.668066
|
782 |
+
path:
|
783 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T07-39-39.668066.parquet'
|
784 |
+
- split: latest
|
785 |
+
path:
|
786 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T07-39-39.668066.parquet'
|
787 |
+
- config_name: harness_truthfulqa_mc_0
|
788 |
+
data_files:
|
789 |
+
- split: 2024_01_05T07_39_39.668066
|
790 |
+
path:
|
791 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T07-39-39.668066.parquet'
|
792 |
+
- split: latest
|
793 |
+
path:
|
794 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T07-39-39.668066.parquet'
|
795 |
+
- config_name: harness_winogrande_5
|
796 |
+
data_files:
|
797 |
+
- split: 2024_01_05T07_39_39.668066
|
798 |
+
path:
|
799 |
+
- '**/details_harness|winogrande|5_2024-01-05T07-39-39.668066.parquet'
|
800 |
+
- split: latest
|
801 |
+
path:
|
802 |
+
- '**/details_harness|winogrande|5_2024-01-05T07-39-39.668066.parquet'
|
803 |
+
- config_name: results
|
804 |
+
data_files:
|
805 |
+
- split: 2024_01_05T07_39_39.668066
|
806 |
+
path:
|
807 |
+
- results_2024-01-05T07-39-39.668066.parquet
|
808 |
+
- split: latest
|
809 |
+
path:
|
810 |
+
- results_2024-01-05T07-39-39.668066.parquet
|
811 |
+
---
|
812 |
+
|
813 |
+
# Dataset Card for Evaluation run of Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B
|
814 |
+
|
815 |
+
<!-- Provide a quick summary of the dataset. -->
|
816 |
+
|
817 |
+
Dataset automatically created during the evaluation run of model [Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B](https://huggingface.co/Weyaxi/Nous-Hermes-2-SUS-Chat-2x34B) 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_Weyaxi__Nous-Hermes-2-SUS-Chat-2x34B",
|
829 |
+
"harness_winogrande_5",
|
830 |
+
split="train")
|
831 |
+
```
|
832 |
+
|
833 |
+
## Latest results
|
834 |
+
|
835 |
+
These are the [latest results from run 2024-01-05T07:39:39.668066](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Nous-Hermes-2-SUS-Chat-2x34B/blob/main/results_2024-01-05T07-39-39.668066.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": 0.7631944050711235,
|
841 |
+
"acc_stderr": 0.02806486884476764,
|
842 |
+
"acc_norm": 0.7662955144547114,
|
843 |
+
"acc_norm_stderr": 0.028608371446490685,
|
844 |
+
"mc1": 0.4149326805385557,
|
845 |
+
"mc1_stderr": 0.017248314465805978,
|
846 |
+
"mc2": 0.5741628635210513,
|
847 |
+
"mc2_stderr": 0.01486973924236114
|
848 |
+
},
|
849 |
+
"harness|arc:challenge|25": {
|
850 |
+
"acc": 0.6382252559726962,
|
851 |
+
"acc_stderr": 0.014041957945038076,
|
852 |
+
"acc_norm": 0.6680887372013652,
|
853 |
+
"acc_norm_stderr": 0.013760988200880534
|
854 |
+
},
|
855 |
+
"harness|hellaswag|10": {
|
856 |
+
"acc": 0.657239593706433,
|
857 |
+
"acc_stderr": 0.004736621698861176,
|
858 |
+
"acc_norm": 0.8522206731726748,
|
859 |
+
"acc_norm_stderr": 0.003541558263779117
|
860 |
+
},
|
861 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
862 |
+
"acc": 0.43,
|
863 |
+
"acc_stderr": 0.049756985195624284,
|
864 |
+
"acc_norm": 0.43,
|
865 |
+
"acc_norm_stderr": 0.049756985195624284
|
866 |
+
},
|
867 |
+
"harness|hendrycksTest-anatomy|5": {
|
868 |
+
"acc": 0.7481481481481481,
|
869 |
+
"acc_stderr": 0.0374985070917402,
|
870 |
+
"acc_norm": 0.7481481481481481,
|
871 |
+
"acc_norm_stderr": 0.0374985070917402
|
872 |
+
},
|
873 |
+
"harness|hendrycksTest-astronomy|5": {
|
874 |
+
"acc": 0.9013157894736842,
|
875 |
+
"acc_stderr": 0.024270227737522715,
|
876 |
+
"acc_norm": 0.9013157894736842,
|
877 |
+
"acc_norm_stderr": 0.024270227737522715
|
878 |
+
},
|
879 |
+
"harness|hendrycksTest-business_ethics|5": {
|
880 |
+
"acc": 0.79,
|
881 |
+
"acc_stderr": 0.040936018074033256,
|
882 |
+
"acc_norm": 0.79,
|
883 |
+
"acc_norm_stderr": 0.040936018074033256
|
884 |
+
},
|
885 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
886 |
+
"acc": 0.7849056603773585,
|
887 |
+
"acc_stderr": 0.025288394502891366,
|
888 |
+
"acc_norm": 0.7849056603773585,
|
889 |
+
"acc_norm_stderr": 0.025288394502891366
|
890 |
+
},
|
891 |
+
"harness|hendrycksTest-college_biology|5": {
|
892 |
+
"acc": 0.8958333333333334,
|
893 |
+
"acc_stderr": 0.025545239210256917,
|
894 |
+
"acc_norm": 0.8958333333333334,
|
895 |
+
"acc_norm_stderr": 0.025545239210256917
|
896 |
+
},
|
897 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
898 |
+
"acc": 0.47,
|
899 |
+
"acc_stderr": 0.05016135580465919,
|
900 |
+
"acc_norm": 0.47,
|
901 |
+
"acc_norm_stderr": 0.05016135580465919
|
902 |
+
},
|
903 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
904 |
+
"acc": 0.66,
|
905 |
+
"acc_stderr": 0.04760952285695237,
|
906 |
+
"acc_norm": 0.66,
|
907 |
+
"acc_norm_stderr": 0.04760952285695237
|
908 |
+
},
|
909 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
910 |
+
"acc": 0.49,
|
911 |
+
"acc_stderr": 0.05024183937956912,
|
912 |
+
"acc_norm": 0.49,
|
913 |
+
"acc_norm_stderr": 0.05024183937956912
|
914 |
+
},
|
915 |
+
"harness|hendrycksTest-college_medicine|5": {
|
916 |
+
"acc": 0.7109826589595376,
|
917 |
+
"acc_stderr": 0.03456425745086999,
|
918 |
+
"acc_norm": 0.7109826589595376,
|
919 |
+
"acc_norm_stderr": 0.03456425745086999
|
920 |
+
},
|
921 |
+
"harness|hendrycksTest-college_physics|5": {
|
922 |
+
"acc": 0.5490196078431373,
|
923 |
+
"acc_stderr": 0.04951218252396262,
|
924 |
+
"acc_norm": 0.5490196078431373,
|
925 |
+
"acc_norm_stderr": 0.04951218252396262
|
926 |
+
},
|
927 |
+
"harness|hendrycksTest-computer_security|5": {
|
928 |
+
"acc": 0.82,
|
929 |
+
"acc_stderr": 0.03861229196653694,
|
930 |
+
"acc_norm": 0.82,
|
931 |
+
"acc_norm_stderr": 0.03861229196653694
|
932 |
+
},
|
933 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
934 |
+
"acc": 0.7787234042553192,
|
935 |
+
"acc_stderr": 0.027136349602424056,
|
936 |
+
"acc_norm": 0.7787234042553192,
|
937 |
+
"acc_norm_stderr": 0.027136349602424056
|
938 |
+
},
|
939 |
+
"harness|hendrycksTest-econometrics|5": {
|
940 |
+
"acc": 0.5789473684210527,
|
941 |
+
"acc_stderr": 0.046446020912223177,
|
942 |
+
"acc_norm": 0.5789473684210527,
|
943 |
+
"acc_norm_stderr": 0.046446020912223177
|
944 |
+
},
|
945 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
946 |
+
"acc": 0.7862068965517242,
|
947 |
+
"acc_stderr": 0.034165204477475494,
|
948 |
+
"acc_norm": 0.7862068965517242,
|
949 |
+
"acc_norm_stderr": 0.034165204477475494
|
950 |
+
},
|
951 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
952 |
+
"acc": 0.6798941798941799,
|
953 |
+
"acc_stderr": 0.024026846392873506,
|
954 |
+
"acc_norm": 0.6798941798941799,
|
955 |
+
"acc_norm_stderr": 0.024026846392873506
|
956 |
+
},
|
957 |
+
"harness|hendrycksTest-formal_logic|5": {
|
958 |
+
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},
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},
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},
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},
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"harness|hendrycksTest-miscellaneous|5": {
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"acc": 0.9054916985951469,
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},
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"harness|hendrycksTest-moral_disputes|5": {
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},
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"harness|hendrycksTest-moral_scenarios|5": {
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"acc": 0.641340782122905,
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1124 |
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},
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1125 |
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"harness|hendrycksTest-nutrition|5": {
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"acc": 0.8594771241830066,
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},
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"harness|hendrycksTest-philosophy|5": {
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"acc": 0.8327974276527331,
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},
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"harness|hendrycksTest-prehistory|5": {
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1142 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
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1144 |
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"acc": 0.6382978723404256,
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1148 |
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},
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"harness|hendrycksTest-professional_law|5": {
|
1150 |
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"acc": 0.6016949152542372,
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1154 |
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},
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1155 |
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"harness|hendrycksTest-professional_medicine|5": {
|
1156 |
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"acc": 0.8125,
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1157 |
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1160 |
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},
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1161 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1162 |
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"acc": 0.826797385620915,
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1165 |
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1166 |
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},
|
1167 |
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"harness|hendrycksTest-public_relations|5": {
|
1168 |
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"acc": 0.7090909090909091,
|
1169 |
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1171 |
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1172 |
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},
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1173 |
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"harness|hendrycksTest-security_studies|5": {
|
1174 |
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"acc": 0.8244897959183674,
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1177 |
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1178 |
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},
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1179 |
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"harness|hendrycksTest-sociology|5": {
|
1180 |
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"acc": 0.8905472636815921,
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1181 |
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1184 |
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},
|
1185 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1186 |
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"acc": 0.92,
|
1187 |
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1188 |
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"acc_norm_stderr": 0.0272659924344291
|
1190 |
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},
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1191 |
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"harness|hendrycksTest-virology|5": {
|
1192 |
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"acc": 0.572289156626506,
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1193 |
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1195 |
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1196 |
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},
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1197 |
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"harness|hendrycksTest-world_religions|5": {
|
1198 |
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|
1199 |
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1200 |
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1201 |
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|
1202 |
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},
|
1203 |
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"harness|truthfulqa:mc|0": {
|
1204 |
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"mc1": 0.4149326805385557,
|
1205 |
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1206 |
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"mc2": 0.5741628635210513,
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1207 |
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"mc2_stderr": 0.01486973924236114
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1208 |
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},
|
1209 |
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"harness|winogrande|5": {
|
1210 |
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"acc": 0.8374112075769534,
|
1211 |
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1212 |
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},
|
1213 |
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"harness|gsm8k|5": {
|
1214 |
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"acc": 0.7308567096285065,
|
1215 |
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"acc_stderr": 0.012216595457292733
|
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]
|