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1 |
+
---
|
2 |
+
pretty_name: Evaluation run of ddobokki/Llama-2-70b-orca-200k
|
3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
4 |
+
\ [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k)\
|
5 |
+
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
6 |
+
\nThe dataset is composed of 60 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 agregated 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_ddobokki__Llama-2-70b-orca-200k\"\
|
15 |
+
,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
|
16 |
+
\nThese are the latest results from run 2023-08-09T20:21:28.711089\n\n```python\n\
|
17 |
+
{\n \"all\": {\n \"acc\": 0.6675525003199225,\n \"acc_stderr\"\
|
18 |
+
: 0.0320256356518761,\n \"acc_norm\": 0.6716808545277895,\n \"acc_norm_stderr\"\
|
19 |
+
: 0.03199912887877205,\n \"mc1\": 0.408812729498164,\n \"mc1_stderr\"\
|
20 |
+
: 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n \"mc2_stderr\"\
|
21 |
+
: 0.015000194909320638\n },\n \"harness|arc:challenge|25\": {\n \"\
|
22 |
+
acc\": 0.5989761092150171,\n \"acc_stderr\": 0.014322255790719867,\n \
|
23 |
+
\ \"acc_norm\": 0.6484641638225256,\n \"acc_norm_stderr\": 0.013952413699600935\n\
|
24 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6584345747858992,\n\
|
25 |
+
\ \"acc_stderr\": 0.004732654295724444,\n \"acc_norm\": 0.8525194184425413,\n\
|
26 |
+
\ \"acc_norm_stderr\": 0.0035385967737048313\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
27 |
+
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.048783173121456316,\n \
|
28 |
+
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.048783173121456316\n \
|
29 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6148148148148148,\n\
|
30 |
+
\ \"acc_stderr\": 0.042039210401562783,\n \"acc_norm\": 0.6148148148148148,\n\
|
31 |
+
\ \"acc_norm_stderr\": 0.042039210401562783\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
32 |
+
: {\n \"acc\": 0.7697368421052632,\n \"acc_stderr\": 0.03426059424403165,\n\
|
33 |
+
\ \"acc_norm\": 0.7697368421052632,\n \"acc_norm_stderr\": 0.03426059424403165\n\
|
34 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.71,\n\
|
35 |
+
\ \"acc_stderr\": 0.04560480215720684,\n \"acc_norm\": 0.71,\n \
|
36 |
+
\ \"acc_norm_stderr\": 0.04560480215720684\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
37 |
+
: {\n \"acc\": 0.6981132075471698,\n \"acc_stderr\": 0.02825420034443866,\n\
|
38 |
+
\ \"acc_norm\": 0.6981132075471698,\n \"acc_norm_stderr\": 0.02825420034443866\n\
|
39 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7847222222222222,\n\
|
40 |
+
\ \"acc_stderr\": 0.034370793441061344,\n \"acc_norm\": 0.7847222222222222,\n\
|
41 |
+
\ \"acc_norm_stderr\": 0.034370793441061344\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
42 |
+
: {\n \"acc\": 0.45,\n \"acc_stderr\": 0.04999999999999999,\n \
|
43 |
+
\ \"acc_norm\": 0.45,\n \"acc_norm_stderr\": 0.04999999999999999\n \
|
44 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
45 |
+
: 0.57,\n \"acc_stderr\": 0.04975698519562428,\n \"acc_norm\": 0.57,\n\
|
46 |
+
\ \"acc_norm_stderr\": 0.04975698519562428\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
47 |
+
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
|
48 |
+
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
|
49 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6127167630057804,\n\
|
50 |
+
\ \"acc_stderr\": 0.037143259063020656,\n \"acc_norm\": 0.6127167630057804,\n\
|
51 |
+
\ \"acc_norm_stderr\": 0.037143259063020656\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
52 |
+
: {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383888,\n\
|
53 |
+
\ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383888\n\
|
54 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
55 |
+
\ 0.74,\n \"acc_stderr\": 0.04408440022768078,\n \"acc_norm\": 0.74,\n\
|
56 |
+
\ \"acc_norm_stderr\": 0.04408440022768078\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
57 |
+
: {\n \"acc\": 0.6127659574468085,\n \"acc_stderr\": 0.03184389265339526,\n\
|
58 |
+
\ \"acc_norm\": 0.6127659574468085,\n \"acc_norm_stderr\": 0.03184389265339526\n\
|
59 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4298245614035088,\n\
|
60 |
+
\ \"acc_stderr\": 0.04657047260594962,\n \"acc_norm\": 0.4298245614035088,\n\
|
61 |
+
\ \"acc_norm_stderr\": 0.04657047260594962\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
62 |
+
: {\n \"acc\": 0.593103448275862,\n \"acc_stderr\": 0.04093793981266236,\n\
|
63 |
+
\ \"acc_norm\": 0.593103448275862,\n \"acc_norm_stderr\": 0.04093793981266236\n\
|
64 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
65 |
+
: 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778408,\n \"\
|
66 |
+
acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778408\n\
|
67 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\
|
68 |
+
\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\
|
69 |
+
\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
70 |
+
: {\n \"acc\": 0.43,\n \"acc_stderr\": 0.049756985195624284,\n \
|
71 |
+
\ \"acc_norm\": 0.43,\n \"acc_norm_stderr\": 0.049756985195624284\n \
|
72 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
|
73 |
+
: 0.8129032258064516,\n \"acc_stderr\": 0.02218571009225225,\n \"\
|
74 |
+
acc_norm\": 0.8129032258064516,\n \"acc_norm_stderr\": 0.02218571009225225\n\
|
75 |
+
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
|
76 |
+
: 0.5123152709359606,\n \"acc_stderr\": 0.035169204442208966,\n \"\
|
77 |
+
acc_norm\": 0.5123152709359606,\n \"acc_norm_stderr\": 0.035169204442208966\n\
|
78 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
79 |
+
\ \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542127,\n \"acc_norm\"\
|
80 |
+
: 0.72,\n \"acc_norm_stderr\": 0.04512608598542127\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
81 |
+
: {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\
|
82 |
+
\ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\
|
83 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
84 |
+
: 0.8636363636363636,\n \"acc_stderr\": 0.024450155973189835,\n \"\
|
85 |
+
acc_norm\": 0.8636363636363636,\n \"acc_norm_stderr\": 0.024450155973189835\n\
|
86 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
87 |
+
\ \"acc\": 0.9067357512953368,\n \"acc_stderr\": 0.0209868545932897,\n\
|
88 |
+
\ \"acc_norm\": 0.9067357512953368,\n \"acc_norm_stderr\": 0.0209868545932897\n\
|
89 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
90 |
+
\ \"acc\": 0.6820512820512821,\n \"acc_stderr\": 0.02361088430892786,\n \
|
91 |
+
\ \"acc_norm\": 0.6820512820512821,\n \"acc_norm_stderr\": 0.02361088430892786\n\
|
92 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
93 |
+
acc\": 0.35555555555555557,\n \"acc_stderr\": 0.02918571494985741,\n \
|
94 |
+
\ \"acc_norm\": 0.35555555555555557,\n \"acc_norm_stderr\": 0.02918571494985741\n\
|
95 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
96 |
+
\ \"acc\": 0.7142857142857143,\n \"acc_stderr\": 0.029344572500634335,\n\
|
97 |
+
\ \"acc_norm\": 0.7142857142857143,\n \"acc_norm_stderr\": 0.029344572500634335\n\
|
98 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
99 |
+
: 0.40397350993377484,\n \"acc_stderr\": 0.04006485685365343,\n \"\
|
100 |
+
acc_norm\": 0.40397350993377484,\n \"acc_norm_stderr\": 0.04006485685365343\n\
|
101 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
102 |
+
: 0.8568807339449541,\n \"acc_stderr\": 0.015014462497168585,\n \"\
|
103 |
+
acc_norm\": 0.8568807339449541,\n \"acc_norm_stderr\": 0.015014462497168585\n\
|
104 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
105 |
+
: 0.5416666666666666,\n \"acc_stderr\": 0.03398110890294636,\n \"\
|
106 |
+
acc_norm\": 0.5416666666666666,\n \"acc_norm_stderr\": 0.03398110890294636\n\
|
107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
108 |
+
: 0.8725490196078431,\n \"acc_stderr\": 0.023405530480846315,\n \"\
|
109 |
+
acc_norm\": 0.8725490196078431,\n \"acc_norm_stderr\": 0.023405530480846315\n\
|
110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
111 |
+
acc\": 0.8523206751054853,\n \"acc_stderr\": 0.0230943295825957,\n \
|
112 |
+
\ \"acc_norm\": 0.8523206751054853,\n \"acc_norm_stderr\": 0.0230943295825957\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7488789237668162,\n\
|
114 |
+
\ \"acc_stderr\": 0.02910522083322462,\n \"acc_norm\": 0.7488789237668162,\n\
|
115 |
+
\ \"acc_norm_stderr\": 0.02910522083322462\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
116 |
+
: {\n \"acc\": 0.7938931297709924,\n \"acc_stderr\": 0.03547771004159465,\n\
|
117 |
+
\ \"acc_norm\": 0.7938931297709924,\n \"acc_norm_stderr\": 0.03547771004159465\n\
|
118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
119 |
+
\ 0.8760330578512396,\n \"acc_stderr\": 0.030083098716035206,\n \"\
|
120 |
+
acc_norm\": 0.8760330578512396,\n \"acc_norm_stderr\": 0.030083098716035206\n\
|
121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\
|
122 |
+
\ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\
|
123 |
+
\ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
124 |
+
: {\n \"acc\": 0.7852760736196319,\n \"acc_stderr\": 0.03226219377286775,\n\
|
125 |
+
\ \"acc_norm\": 0.7852760736196319,\n \"acc_norm_stderr\": 0.03226219377286775\n\
|
126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\
|
127 |
+
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\
|
128 |
+
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
|
129 |
+
: {\n \"acc\": 0.8155339805825242,\n \"acc_stderr\": 0.03840423627288276,\n\
|
130 |
+
\ \"acc_norm\": 0.8155339805825242,\n \"acc_norm_stderr\": 0.03840423627288276\n\
|
131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9017094017094017,\n\
|
132 |
+
\ \"acc_stderr\": 0.019503444900757567,\n \"acc_norm\": 0.9017094017094017,\n\
|
133 |
+
\ \"acc_norm_stderr\": 0.019503444900757567\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
134 |
+
: {\n \"acc\": 0.72,\n \"acc_stderr\": 0.04512608598542128,\n \
|
135 |
+
\ \"acc_norm\": 0.72,\n \"acc_norm_stderr\": 0.04512608598542128\n \
|
136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.859514687100894,\n\
|
137 |
+
\ \"acc_stderr\": 0.012426211353093438,\n \"acc_norm\": 0.859514687100894,\n\
|
138 |
+
\ \"acc_norm_stderr\": 0.012426211353093438\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
139 |
+
: {\n \"acc\": 0.7745664739884393,\n \"acc_stderr\": 0.022497230190967558,\n\
|
140 |
+
\ \"acc_norm\": 0.7745664739884393,\n \"acc_norm_stderr\": 0.022497230190967558\n\
|
141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.5363128491620112,\n\
|
142 |
+
\ \"acc_stderr\": 0.016678341894533162,\n \"acc_norm\": 0.5363128491620112,\n\
|
143 |
+
\ \"acc_norm_stderr\": 0.016678341894533162\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
144 |
+
: {\n \"acc\": 0.6895424836601307,\n \"acc_stderr\": 0.026493033225145898,\n\
|
145 |
+
\ \"acc_norm\": 0.6895424836601307,\n \"acc_norm_stderr\": 0.026493033225145898\n\
|
146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7395498392282959,\n\
|
147 |
+
\ \"acc_stderr\": 0.02492672322484554,\n \"acc_norm\": 0.7395498392282959,\n\
|
148 |
+
\ \"acc_norm_stderr\": 0.02492672322484554\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
149 |
+
: {\n \"acc\": 0.7685185185185185,\n \"acc_stderr\": 0.023468429832451152,\n\
|
150 |
+
\ \"acc_norm\": 0.7685185185185185,\n \"acc_norm_stderr\": 0.023468429832451152\n\
|
151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
152 |
+
acc\": 0.48936170212765956,\n \"acc_stderr\": 0.029820747191422473,\n \
|
153 |
+
\ \"acc_norm\": 0.48936170212765956,\n \"acc_norm_stderr\": 0.029820747191422473\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5084745762711864,\n\
|
155 |
+
\ \"acc_stderr\": 0.012768401697269048,\n \"acc_norm\": 0.5084745762711864,\n\
|
156 |
+
\ \"acc_norm_stderr\": 0.012768401697269048\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
157 |
+
: {\n \"acc\": 0.6838235294117647,\n \"acc_stderr\": 0.02824568739146292,\n\
|
158 |
+
\ \"acc_norm\": 0.6838235294117647,\n \"acc_norm_stderr\": 0.02824568739146292\n\
|
159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
160 |
+
acc\": 0.7075163398692811,\n \"acc_stderr\": 0.018403415710109793,\n \
|
161 |
+
\ \"acc_norm\": 0.7075163398692811,\n \"acc_norm_stderr\": 0.018403415710109793\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7363636363636363,\n\
|
163 |
+
\ \"acc_stderr\": 0.04220224692971987,\n \"acc_norm\": 0.7363636363636363,\n\
|
164 |
+
\ \"acc_norm_stderr\": 0.04220224692971987\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
165 |
+
: {\n \"acc\": 0.763265306122449,\n \"acc_stderr\": 0.027212835884073153,\n\
|
166 |
+
\ \"acc_norm\": 0.763265306122449,\n \"acc_norm_stderr\": 0.027212835884073153\n\
|
167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8557213930348259,\n\
|
168 |
+
\ \"acc_stderr\": 0.024845753212306042,\n \"acc_norm\": 0.8557213930348259,\n\
|
169 |
+
\ \"acc_norm_stderr\": 0.024845753212306042\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
170 |
+
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.035887028128263686,\n \
|
171 |
+
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.035887028128263686\n \
|
172 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\
|
173 |
+
\ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\
|
174 |
+
\ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
175 |
+
: {\n \"acc\": 0.847953216374269,\n \"acc_stderr\": 0.027539122889061445,\n\
|
176 |
+
\ \"acc_norm\": 0.847953216374269,\n \"acc_norm_stderr\": 0.027539122889061445\n\
|
177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.408812729498164,\n\
|
178 |
+
\ \"mc1_stderr\": 0.01720995215164173,\n \"mc2\": 0.5618014117500216,\n\
|
179 |
+
\ \"mc2_stderr\": 0.015000194909320638\n }\n}\n```"
|
180 |
+
repo_url: https://huggingface.co/ddobokki/Llama-2-70b-orca-200k
|
181 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
182 |
+
point_of_contact: clementine@hf.co
|
183 |
+
configs:
|
184 |
+
- config_name: harness_arc_challenge_25
|
185 |
+
data_files: '**/details_harness|arc:challenge|25_2023-08-09T20:21:28.711089.parquet'
|
186 |
+
- config_name: harness_hellaswag_10
|
187 |
+
data_files: '**/details_harness|hellaswag|10_2023-08-09T20:21:28.711089.parquet'
|
188 |
+
- config_name: harness_hendrycksTest_abstract_algebra_5
|
189 |
+
data_files: '**/details_harness|hendrycksTest-abstract_algebra|5_2023-08-09T20:21:28.711089.parquet'
|
190 |
+
- config_name: harness_hendrycksTest_anatomy_5
|
191 |
+
data_files: '**/details_harness|hendrycksTest-anatomy|5_2023-08-09T20:21:28.711089.parquet'
|
192 |
+
- config_name: harness_hendrycksTest_astronomy_5
|
193 |
+
data_files: '**/details_harness|hendrycksTest-astronomy|5_2023-08-09T20:21:28.711089.parquet'
|
194 |
+
- config_name: harness_hendrycksTest_business_ethics_5
|
195 |
+
data_files: '**/details_harness|hendrycksTest-business_ethics|5_2023-08-09T20:21:28.711089.parquet'
|
196 |
+
- config_name: harness_hendrycksTest_clinical_knowledge_5
|
197 |
+
data_files: '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-08-09T20:21:28.711089.parquet'
|
198 |
+
- config_name: harness_hendrycksTest_college_biology_5
|
199 |
+
data_files: '**/details_harness|hendrycksTest-college_biology|5_2023-08-09T20:21:28.711089.parquet'
|
200 |
+
- config_name: harness_hendrycksTest_college_chemistry_5
|
201 |
+
data_files: '**/details_harness|hendrycksTest-college_chemistry|5_2023-08-09T20:21:28.711089.parquet'
|
202 |
+
- config_name: harness_hendrycksTest_college_computer_science_5
|
203 |
+
data_files: '**/details_harness|hendrycksTest-college_computer_science|5_2023-08-09T20:21:28.711089.parquet'
|
204 |
+
- config_name: harness_hendrycksTest_college_mathematics_5
|
205 |
+
data_files: '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-09T20:21:28.711089.parquet'
|
206 |
+
- config_name: harness_hendrycksTest_college_medicine_5
|
207 |
+
data_files: '**/details_harness|hendrycksTest-college_medicine|5_2023-08-09T20:21:28.711089.parquet'
|
208 |
+
- config_name: harness_hendrycksTest_college_physics_5
|
209 |
+
data_files: '**/details_harness|hendrycksTest-college_physics|5_2023-08-09T20:21:28.711089.parquet'
|
210 |
+
- config_name: harness_hendrycksTest_computer_security_5
|
211 |
+
data_files: '**/details_harness|hendrycksTest-computer_security|5_2023-08-09T20:21:28.711089.parquet'
|
212 |
+
- config_name: harness_hendrycksTest_conceptual_physics_5
|
213 |
+
data_files: '**/details_harness|hendrycksTest-conceptual_physics|5_2023-08-09T20:21:28.711089.parquet'
|
214 |
+
- config_name: harness_hendrycksTest_econometrics_5
|
215 |
+
data_files: '**/details_harness|hendrycksTest-econometrics|5_2023-08-09T20:21:28.711089.parquet'
|
216 |
+
- config_name: harness_hendrycksTest_electrical_engineering_5
|
217 |
+
data_files: '**/details_harness|hendrycksTest-electrical_engineering|5_2023-08-09T20:21:28.711089.parquet'
|
218 |
+
- config_name: harness_hendrycksTest_elementary_mathematics_5
|
219 |
+
data_files: '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-08-09T20:21:28.711089.parquet'
|
220 |
+
- config_name: harness_hendrycksTest_formal_logic_5
|
221 |
+
data_files: '**/details_harness|hendrycksTest-formal_logic|5_2023-08-09T20:21:28.711089.parquet'
|
222 |
+
- config_name: harness_hendrycksTest_global_facts_5
|
223 |
+
data_files: '**/details_harness|hendrycksTest-global_facts|5_2023-08-09T20:21:28.711089.parquet'
|
224 |
+
- config_name: harness_hendrycksTest_high_school_biology_5
|
225 |
+
data_files: '**/details_harness|hendrycksTest-high_school_biology|5_2023-08-09T20:21:28.711089.parquet'
|
226 |
+
- config_name: harness_hendrycksTest_high_school_chemistry_5
|
227 |
+
data_files: '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-08-09T20:21:28.711089.parquet'
|
228 |
+
- config_name: harness_hendrycksTest_high_school_computer_science_5
|
229 |
+
data_files: '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-08-09T20:21:28.711089.parquet'
|
230 |
+
- config_name: harness_hendrycksTest_high_school_european_history_5
|
231 |
+
data_files: '**/details_harness|hendrycksTest-high_school_european_history|5_2023-08-09T20:21:28.711089.parquet'
|
232 |
+
- config_name: harness_hendrycksTest_high_school_geography_5
|
233 |
+
data_files: '**/details_harness|hendrycksTest-high_school_geography|5_2023-08-09T20:21:28.711089.parquet'
|
234 |
+
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
|
235 |
+
data_files: '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-08-09T20:21:28.711089.parquet'
|
236 |
+
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
|
237 |
+
data_files: '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-08-09T20:21:28.711089.parquet'
|
238 |
+
- config_name: harness_hendrycksTest_high_school_mathematics_5
|
239 |
+
data_files: '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-08-09T20:21:28.711089.parquet'
|
240 |
+
- config_name: harness_hendrycksTest_high_school_microeconomics_5
|
241 |
+
data_files: '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-08-09T20:21:28.711089.parquet'
|
242 |
+
- config_name: harness_hendrycksTest_high_school_physics_5
|
243 |
+
data_files: '**/details_harness|hendrycksTest-high_school_physics|5_2023-08-09T20:21:28.711089.parquet'
|
244 |
+
- config_name: harness_hendrycksTest_high_school_psychology_5
|
245 |
+
data_files: '**/details_harness|hendrycksTest-high_school_psychology|5_2023-08-09T20:21:28.711089.parquet'
|
246 |
+
- config_name: harness_hendrycksTest_high_school_statistics_5
|
247 |
+
data_files: '**/details_harness|hendrycksTest-high_school_statistics|5_2023-08-09T20:21:28.711089.parquet'
|
248 |
+
- config_name: harness_hendrycksTest_high_school_us_history_5
|
249 |
+
data_files: '**/details_harness|hendrycksTest-high_school_us_history|5_2023-08-09T20:21:28.711089.parquet'
|
250 |
+
- config_name: harness_hendrycksTest_high_school_world_history_5
|
251 |
+
data_files: '**/details_harness|hendrycksTest-high_school_world_history|5_2023-08-09T20:21:28.711089.parquet'
|
252 |
+
- config_name: harness_hendrycksTest_human_aging_5
|
253 |
+
data_files: '**/details_harness|hendrycksTest-human_aging|5_2023-08-09T20:21:28.711089.parquet'
|
254 |
+
- config_name: harness_hendrycksTest_human_sexuality_5
|
255 |
+
data_files: '**/details_harness|hendrycksTest-human_sexuality|5_2023-08-09T20:21:28.711089.parquet'
|
256 |
+
- config_name: harness_hendrycksTest_international_law_5
|
257 |
+
data_files: '**/details_harness|hendrycksTest-international_law|5_2023-08-09T20:21:28.711089.parquet'
|
258 |
+
- config_name: harness_hendrycksTest_jurisprudence_5
|
259 |
+
data_files: '**/details_harness|hendrycksTest-jurisprudence|5_2023-08-09T20:21:28.711089.parquet'
|
260 |
+
- config_name: harness_hendrycksTest_logical_fallacies_5
|
261 |
+
data_files: '**/details_harness|hendrycksTest-logical_fallacies|5_2023-08-09T20:21:28.711089.parquet'
|
262 |
+
- config_name: harness_hendrycksTest_machine_learning_5
|
263 |
+
data_files: '**/details_harness|hendrycksTest-machine_learning|5_2023-08-09T20:21:28.711089.parquet'
|
264 |
+
- config_name: harness_hendrycksTest_management_5
|
265 |
+
data_files: '**/details_harness|hendrycksTest-management|5_2023-08-09T20:21:28.711089.parquet'
|
266 |
+
- config_name: harness_hendrycksTest_marketing_5
|
267 |
+
data_files: '**/details_harness|hendrycksTest-marketing|5_2023-08-09T20:21:28.711089.parquet'
|
268 |
+
- config_name: harness_hendrycksTest_medical_genetics_5
|
269 |
+
data_files: '**/details_harness|hendrycksTest-medical_genetics|5_2023-08-09T20:21:28.711089.parquet'
|
270 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
271 |
+
data_files: '**/details_harness|hendrycksTest-miscellaneous|5_2023-08-09T20:21:28.711089.parquet'
|
272 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
273 |
+
data_files: '**/details_harness|hendrycksTest-moral_disputes|5_2023-08-09T20:21:28.711089.parquet'
|
274 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
275 |
+
data_files: '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-09T20:21:28.711089.parquet'
|
276 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
277 |
+
data_files: '**/details_harness|hendrycksTest-nutrition|5_2023-08-09T20:21:28.711089.parquet'
|
278 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
279 |
+
data_files: '**/details_harness|hendrycksTest-philosophy|5_2023-08-09T20:21:28.711089.parquet'
|
280 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
281 |
+
data_files: '**/details_harness|hendrycksTest-prehistory|5_2023-08-09T20:21:28.711089.parquet'
|
282 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
283 |
+
data_files: '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-09T20:21:28.711089.parquet'
|
284 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
285 |
+
data_files: '**/details_harness|hendrycksTest-professional_law|5_2023-08-09T20:21:28.711089.parquet'
|
286 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
287 |
+
data_files: '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-09T20:21:28.711089.parquet'
|
288 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
289 |
+
data_files: '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-09T20:21:28.711089.parquet'
|
290 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
291 |
+
data_files: '**/details_harness|hendrycksTest-public_relations|5_2023-08-09T20:21:28.711089.parquet'
|
292 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
293 |
+
data_files: '**/details_harness|hendrycksTest-security_studies|5_2023-08-09T20:21:28.711089.parquet'
|
294 |
+
- config_name: harness_hendrycksTest_sociology_5
|
295 |
+
data_files: '**/details_harness|hendrycksTest-sociology|5_2023-08-09T20:21:28.711089.parquet'
|
296 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
297 |
+
data_files: '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-09T20:21:28.711089.parquet'
|
298 |
+
- config_name: harness_hendrycksTest_virology_5
|
299 |
+
data_files: '**/details_harness|hendrycksTest-virology|5_2023-08-09T20:21:28.711089.parquet'
|
300 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
301 |
+
data_files: '**/details_harness|hendrycksTest-world_religions|5_2023-08-09T20:21:28.711089.parquet'
|
302 |
+
- config_name: harness_truthfulqa_mc_0
|
303 |
+
data_files: '**/details_harness|truthfulqa:mc|0_2023-08-09T20:21:28.711089.parquet'
|
304 |
+
- config_name: results
|
305 |
+
data_files: '**/results_2023-08-09T20:21:28.711089.json'
|
306 |
+
---
|
307 |
+
|
308 |
+
# Dataset Card for Evaluation run of ddobokki/Llama-2-70b-orca-200k
|
309 |
+
|
310 |
+
## Dataset Description
|
311 |
+
|
312 |
+
- **Homepage:**
|
313 |
+
- **Repository:** https://huggingface.co/ddobokki/Llama-2-70b-orca-200k
|
314 |
+
- **Paper:**
|
315 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
316 |
+
- **Point of Contact:** clementine@hf.co
|
317 |
+
|
318 |
+
### Dataset Summary
|
319 |
+
|
320 |
+
Dataset automatically created during the evaluation run of model [ddobokki/Llama-2-70b-orca-200k](https://huggingface.co/ddobokki/Llama-2-70b-orca-200k) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
321 |
+
|
322 |
+
The dataset is composed of 60 configuration, each one coresponding to one of the evaluated task.
|
323 |
+
|
324 |
+
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.
|
325 |
+
|
326 |
+
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the agregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
327 |
+
|
328 |
+
To load the details from a run, you can for instance do the following:
|
329 |
+
```python
|
330 |
+
from datasets import load_dataset
|
331 |
+
data = load_dataset("open-llm-leaderboard/details_ddobokki__Llama-2-70b-orca-200k",
|
332 |
+
"harness_truthfulqa_mc_0",
|
333 |
+
split="train")
|
334 |
+
```
|
335 |
+
|
336 |
+
## Latest results
|
337 |
+
|
338 |
+
These are the latest results from run 2023-08-09T20:21:28.711089
|
339 |
+
|
340 |
+
```python
|
341 |
+
{
|
342 |
+
"all": {
|
343 |
+
"acc": 0.6675525003199225,
|
344 |
+
"acc_stderr": 0.0320256356518761,
|
345 |
+
"acc_norm": 0.6716808545277895,
|
346 |
+
"acc_norm_stderr": 0.03199912887877205,
|
347 |
+
"mc1": 0.408812729498164,
|
348 |
+
"mc1_stderr": 0.01720995215164173,
|
349 |
+
"mc2": 0.5618014117500216,
|
350 |
+
"mc2_stderr": 0.015000194909320638
|
351 |
+
},
|
352 |
+
"harness|arc:challenge|25": {
|
353 |
+
"acc": 0.5989761092150171,
|
354 |
+
"acc_stderr": 0.014322255790719867,
|
355 |
+
"acc_norm": 0.6484641638225256,
|
356 |
+
"acc_norm_stderr": 0.013952413699600935
|
357 |
+
},
|
358 |
+
"harness|hellaswag|10": {
|
359 |
+
"acc": 0.6584345747858992,
|
360 |
+
"acc_stderr": 0.004732654295724444,
|
361 |
+
"acc_norm": 0.8525194184425413,
|
362 |
+
"acc_norm_stderr": 0.0035385967737048313
|
363 |
+
},
|
364 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
365 |
+
"acc": 0.38,
|
366 |
+
"acc_stderr": 0.048783173121456316,
|
367 |
+
"acc_norm": 0.38,
|
368 |
+
"acc_norm_stderr": 0.048783173121456316
|
369 |
+
},
|
370 |
+
"harness|hendrycksTest-anatomy|5": {
|
371 |
+
"acc": 0.6148148148148148,
|
372 |
+
"acc_stderr": 0.042039210401562783,
|
373 |
+
"acc_norm": 0.6148148148148148,
|
374 |
+
"acc_norm_stderr": 0.042039210401562783
|
375 |
+
},
|
376 |
+
"harness|hendrycksTest-astronomy|5": {
|
377 |
+
"acc": 0.7697368421052632,
|
378 |
+
"acc_stderr": 0.03426059424403165,
|
379 |
+
"acc_norm": 0.7697368421052632,
|
380 |
+
"acc_norm_stderr": 0.03426059424403165
|
381 |
+
},
|
382 |
+
"harness|hendrycksTest-business_ethics|5": {
|
383 |
+
"acc": 0.71,
|
384 |
+
"acc_stderr": 0.04560480215720684,
|
385 |
+
"acc_norm": 0.71,
|
386 |
+
"acc_norm_stderr": 0.04560480215720684
|
387 |
+
},
|
388 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
389 |
+
"acc": 0.6981132075471698,
|
390 |
+
"acc_stderr": 0.02825420034443866,
|
391 |
+
"acc_norm": 0.6981132075471698,
|
392 |
+
"acc_norm_stderr": 0.02825420034443866
|
393 |
+
},
|
394 |
+
"harness|hendrycksTest-college_biology|5": {
|
395 |
+
"acc": 0.7847222222222222,
|
396 |
+
"acc_stderr": 0.034370793441061344,
|
397 |
+
"acc_norm": 0.7847222222222222,
|
398 |
+
"acc_norm_stderr": 0.034370793441061344
|
399 |
+
},
|
400 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
401 |
+
"acc": 0.45,
|
402 |
+
"acc_stderr": 0.04999999999999999,
|
403 |
+
"acc_norm": 0.45,
|
404 |
+
"acc_norm_stderr": 0.04999999999999999
|
405 |
+
},
|
406 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
407 |
+
"acc": 0.57,
|
408 |
+
"acc_stderr": 0.04975698519562428,
|
409 |
+
"acc_norm": 0.57,
|
410 |
+
"acc_norm_stderr": 0.04975698519562428
|
411 |
+
},
|
412 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
413 |
+
"acc": 0.36,
|
414 |
+
"acc_stderr": 0.04824181513244218,
|
415 |
+
"acc_norm": 0.36,
|
416 |
+
"acc_norm_stderr": 0.04824181513244218
|
417 |
+
},
|
418 |
+
"harness|hendrycksTest-college_medicine|5": {
|
419 |
+
"acc": 0.6127167630057804,
|
420 |
+
"acc_stderr": 0.037143259063020656,
|
421 |
+
"acc_norm": 0.6127167630057804,
|
422 |
+
"acc_norm_stderr": 0.037143259063020656
|
423 |
+
},
|
424 |
+
"harness|hendrycksTest-college_physics|5": {
|
425 |
+
"acc": 0.3431372549019608,
|
426 |
+
"acc_stderr": 0.04724007352383888,
|
427 |
+
"acc_norm": 0.3431372549019608,
|
428 |
+
"acc_norm_stderr": 0.04724007352383888
|
429 |
+
},
|
430 |
+
"harness|hendrycksTest-computer_security|5": {
|
431 |
+
"acc": 0.74,
|
432 |
+
"acc_stderr": 0.04408440022768078,
|
433 |
+
"acc_norm": 0.74,
|
434 |
+
"acc_norm_stderr": 0.04408440022768078
|
435 |
+
},
|
436 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
437 |
+
"acc": 0.6127659574468085,
|
438 |
+
"acc_stderr": 0.03184389265339526,
|
439 |
+
"acc_norm": 0.6127659574468085,
|
440 |
+
"acc_norm_stderr": 0.03184389265339526
|
441 |
+
},
|
442 |
+
"harness|hendrycksTest-econometrics|5": {
|
443 |
+
"acc": 0.4298245614035088,
|
444 |
+
"acc_stderr": 0.04657047260594962,
|
445 |
+
"acc_norm": 0.4298245614035088,
|
446 |
+
"acc_norm_stderr": 0.04657047260594962
|
447 |
+
},
|
448 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
449 |
+
"acc": 0.593103448275862,
|
450 |
+
"acc_stderr": 0.04093793981266236,
|
451 |
+
"acc_norm": 0.593103448275862,
|
452 |
+
"acc_norm_stderr": 0.04093793981266236
|
453 |
+
},
|
454 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
455 |
+
"acc": 0.41534391534391535,
|
456 |
+
"acc_stderr": 0.025379524910778408,
|
457 |
+
"acc_norm": 0.41534391534391535,
|
458 |
+
"acc_norm_stderr": 0.025379524910778408
|
459 |
+
},
|
460 |
+
"harness|hendrycksTest-formal_logic|5": {
|
461 |
+
"acc": 0.4365079365079365,
|
462 |
+
"acc_stderr": 0.04435932892851466,
|
463 |
+
"acc_norm": 0.4365079365079365,
|
464 |
+
"acc_norm_stderr": 0.04435932892851466
|
465 |
+
},
|
466 |
+
"harness|hendrycksTest-global_facts|5": {
|
467 |
+
"acc": 0.43,
|
468 |
+
"acc_stderr": 0.049756985195624284,
|
469 |
+
"acc_norm": 0.43,
|
470 |
+
"acc_norm_stderr": 0.049756985195624284
|
471 |
+
},
|
472 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
473 |
+
"acc": 0.8129032258064516,
|
474 |
+
"acc_stderr": 0.02218571009225225,
|
475 |
+
"acc_norm": 0.8129032258064516,
|
476 |
+
"acc_norm_stderr": 0.02218571009225225
|
477 |
+
},
|
478 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
479 |
+
"acc": 0.5123152709359606,
|
480 |
+
"acc_stderr": 0.035169204442208966,
|
481 |
+
"acc_norm": 0.5123152709359606,
|
482 |
+
"acc_norm_stderr": 0.035169204442208966
|
483 |
+
},
|
484 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
485 |
+
"acc": 0.72,
|
486 |
+
"acc_stderr": 0.04512608598542127,
|
487 |
+
"acc_norm": 0.72,
|
488 |
+
"acc_norm_stderr": 0.04512608598542127
|
489 |
+
},
|
490 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
491 |
+
"acc": 0.8121212121212121,
|
492 |
+
"acc_stderr": 0.03050193405942914,
|
493 |
+
"acc_norm": 0.8121212121212121,
|
494 |
+
"acc_norm_stderr": 0.03050193405942914
|
495 |
+
},
|
496 |
+
"harness|hendrycksTest-high_school_geography|5": {
|
497 |
+
"acc": 0.8636363636363636,
|
498 |
+
"acc_stderr": 0.024450155973189835,
|
499 |
+
"acc_norm": 0.8636363636363636,
|
500 |
+
"acc_norm_stderr": 0.024450155973189835
|
501 |
+
},
|
502 |
+
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
503 |
+
"acc": 0.9067357512953368,
|
504 |
+
"acc_stderr": 0.0209868545932897,
|
505 |
+
"acc_norm": 0.9067357512953368,
|
506 |
+
"acc_norm_stderr": 0.0209868545932897
|
507 |
+
},
|
508 |
+
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
509 |
+
"acc": 0.6820512820512821,
|
510 |
+
"acc_stderr": 0.02361088430892786,
|
511 |
+
"acc_norm": 0.6820512820512821,
|
512 |
+
"acc_norm_stderr": 0.02361088430892786
|
513 |
+
},
|
514 |
+
"harness|hendrycksTest-high_school_mathematics|5": {
|
515 |
+
"acc": 0.35555555555555557,
|
516 |
+
"acc_stderr": 0.02918571494985741,
|
517 |
+
"acc_norm": 0.35555555555555557,
|
518 |
+
"acc_norm_stderr": 0.02918571494985741
|
519 |
+
},
|
520 |
+
"harness|hendrycksTest-high_school_microeconomics|5": {
|
521 |
+
"acc": 0.7142857142857143,
|
522 |
+
"acc_stderr": 0.029344572500634335,
|
523 |
+
"acc_norm": 0.7142857142857143,
|
524 |
+
"acc_norm_stderr": 0.029344572500634335
|
525 |
+
},
|
526 |
+
"harness|hendrycksTest-high_school_physics|5": {
|
527 |
+
"acc": 0.40397350993377484,
|
528 |
+
"acc_stderr": 0.04006485685365343,
|
529 |
+
"acc_norm": 0.40397350993377484,
|
530 |
+
"acc_norm_stderr": 0.04006485685365343
|
531 |
+
},
|
532 |
+
"harness|hendrycksTest-high_school_psychology|5": {
|
533 |
+
"acc": 0.8568807339449541,
|
534 |
+
"acc_stderr": 0.015014462497168585,
|
535 |
+
"acc_norm": 0.8568807339449541,
|
536 |
+
"acc_norm_stderr": 0.015014462497168585
|
537 |
+
},
|
538 |
+
"harness|hendrycksTest-high_school_statistics|5": {
|
539 |
+
"acc": 0.5416666666666666,
|
540 |
+
"acc_stderr": 0.03398110890294636,
|
541 |
+
"acc_norm": 0.5416666666666666,
|
542 |
+
"acc_norm_stderr": 0.03398110890294636
|
543 |
+
},
|
544 |
+
"harness|hendrycksTest-high_school_us_history|5": {
|
545 |
+
"acc": 0.8725490196078431,
|
546 |
+
"acc_stderr": 0.023405530480846315,
|
547 |
+
"acc_norm": 0.8725490196078431,
|
548 |
+
"acc_norm_stderr": 0.023405530480846315
|
549 |
+
},
|
550 |
+
"harness|hendrycksTest-high_school_world_history|5": {
|
551 |
+
"acc": 0.8523206751054853,
|
552 |
+
"acc_stderr": 0.0230943295825957,
|
553 |
+
"acc_norm": 0.8523206751054853,
|
554 |
+
"acc_norm_stderr": 0.0230943295825957
|
555 |
+
},
|
556 |
+
"harness|hendrycksTest-human_aging|5": {
|
557 |
+
"acc": 0.7488789237668162,
|
558 |
+
"acc_stderr": 0.02910522083322462,
|
559 |
+
"acc_norm": 0.7488789237668162,
|
560 |
+
"acc_norm_stderr": 0.02910522083322462
|
561 |
+
},
|
562 |
+
"harness|hendrycksTest-human_sexuality|5": {
|
563 |
+
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564 |
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565 |
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566 |
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567 |
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568 |
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|
569 |
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570 |
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571 |
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572 |
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573 |
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},
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574 |
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575 |
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576 |
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577 |
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578 |
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579 |
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},
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580 |
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|
581 |
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582 |
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583 |
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584 |
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585 |
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},
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586 |
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587 |
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588 |
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589 |
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590 |
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591 |
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},
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592 |
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"harness|hendrycksTest-management|5": {
|
593 |
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594 |
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595 |
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596 |
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597 |
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},
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598 |
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"harness|hendrycksTest-marketing|5": {
|
599 |
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600 |
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601 |
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602 |
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603 |
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},
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604 |
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"harness|hendrycksTest-medical_genetics|5": {
|
605 |
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"acc": 0.72,
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606 |
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607 |
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608 |
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609 |
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},
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610 |
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"harness|hendrycksTest-miscellaneous|5": {
|
611 |
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612 |
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613 |
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614 |
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615 |
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},
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616 |
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"harness|hendrycksTest-moral_disputes|5": {
|
617 |
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618 |
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619 |
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620 |
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621 |
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},
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622 |
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"harness|hendrycksTest-moral_scenarios|5": {
|
623 |
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624 |
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625 |
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626 |
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627 |
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},
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628 |
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"harness|hendrycksTest-nutrition|5": {
|
629 |
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"acc": 0.6895424836601307,
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630 |
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631 |
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632 |
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"acc_norm_stderr": 0.026493033225145898
|
633 |
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},
|
634 |
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"harness|hendrycksTest-philosophy|5": {
|
635 |
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"acc": 0.7395498392282959,
|
636 |
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|
637 |
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638 |
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|
639 |
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},
|
640 |
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"harness|hendrycksTest-prehistory|5": {
|
641 |
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"acc": 0.7685185185185185,
|
642 |
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643 |
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|
644 |
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"acc_norm_stderr": 0.023468429832451152
|
645 |
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},
|
646 |
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"harness|hendrycksTest-professional_accounting|5": {
|
647 |
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"acc": 0.48936170212765956,
|
648 |
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|
649 |
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650 |
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651 |
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},
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652 |
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"harness|hendrycksTest-professional_law|5": {
|
653 |
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|
654 |
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655 |
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656 |
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657 |
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},
|
658 |
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"harness|hendrycksTest-professional_medicine|5": {
|
659 |
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660 |
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661 |
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662 |
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663 |
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},
|
664 |
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"harness|hendrycksTest-professional_psychology|5": {
|
665 |
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666 |
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667 |
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668 |
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669 |
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},
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670 |
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"harness|hendrycksTest-public_relations|5": {
|
671 |
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|
672 |
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673 |
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|
674 |
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|
675 |
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},
|
676 |
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"harness|hendrycksTest-security_studies|5": {
|
677 |
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|
678 |
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679 |
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680 |
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|
681 |
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},
|
682 |
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"harness|hendrycksTest-sociology|5": {
|
683 |
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|
684 |
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|
685 |
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|
686 |
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|
687 |
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},
|
688 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
689 |
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|
690 |
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|
691 |
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|
692 |
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|
693 |
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},
|
694 |
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"harness|hendrycksTest-virology|5": {
|
695 |
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|
696 |
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|
697 |
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|
698 |
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|
699 |
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},
|
700 |
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"harness|hendrycksTest-world_religions|5": {
|
701 |
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"acc": 0.847953216374269,
|
702 |
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|
703 |
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|
704 |
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|
705 |
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},
|
706 |
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"harness|truthfulqa:mc|0": {
|
707 |
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"mc1": 0.408812729498164,
|
708 |
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"mc1_stderr": 0.01720995215164173,
|
709 |
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"mc2": 0.5618014117500216,
|
710 |
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"mc2_stderr": 0.015000194909320638
|
711 |
+
}
|
712 |
+
}
|
713 |
+
```
|
714 |
+
|
715 |
+
### Supported Tasks and Leaderboards
|
716 |
+
|
717 |
+
[More Information Needed]
|
718 |
+
|
719 |
+
### Languages
|
720 |
+
|
721 |
+
[More Information Needed]
|
722 |
+
|
723 |
+
## Dataset Structure
|
724 |
+
|
725 |
+
### Data Instances
|
726 |
+
|
727 |
+
[More Information Needed]
|
728 |
+
|
729 |
+
### Data Fields
|
730 |
+
|
731 |
+
[More Information Needed]
|
732 |
+
|
733 |
+
### Data Splits
|
734 |
+
|
735 |
+
[More Information Needed]
|
736 |
+
|
737 |
+
## Dataset Creation
|
738 |
+
|
739 |
+
### Curation Rationale
|
740 |
+
|
741 |
+
[More Information Needed]
|
742 |
+
|
743 |
+
### Source Data
|
744 |
+
|
745 |
+
#### Initial Data Collection and Normalization
|
746 |
+
|
747 |
+
[More Information Needed]
|
748 |
+
|
749 |
+
#### Who are the source language producers?
|
750 |
+
|
751 |
+
[More Information Needed]
|
752 |
+
|
753 |
+
### Annotations
|
754 |
+
|
755 |
+
#### Annotation process
|
756 |
+
|
757 |
+
[More Information Needed]
|
758 |
+
|
759 |
+
#### Who are the annotators?
|
760 |
+
|
761 |
+
[More Information Needed]
|
762 |
+
|
763 |
+
### Personal and Sensitive Information
|
764 |
+
|
765 |
+
[More Information Needed]
|
766 |
+
|
767 |
+
## Considerations for Using the Data
|
768 |
+
|
769 |
+
### Social Impact of Dataset
|
770 |
+
|
771 |
+
[More Information Needed]
|
772 |
+
|
773 |
+
### Discussion of Biases
|
774 |
+
|
775 |
+
[More Information Needed]
|
776 |
+
|
777 |
+
### Other Known Limitations
|
778 |
+
|
779 |
+
[More Information Needed]
|
780 |
+
|
781 |
+
## Additional Information
|
782 |
+
|
783 |
+
### Dataset Curators
|
784 |
+
|
785 |
+
[More Information Needed]
|
786 |
+
|
787 |
+
### Licensing Information
|
788 |
+
|
789 |
+
[More Information Needed]
|
790 |
+
|
791 |
+
### Citation Information
|
792 |
+
|
793 |
+
[More Information Needed]
|
794 |
+
|
795 |
+
### Contributions
|
796 |
+
|
797 |
+
[More Information Needed]
|