Commit
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58332e8
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Parent(s):
c3a06cf
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README.md
ADDED
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+
---
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pretty_name: Evaluation run of itsliupeng/Mixtral-8x7B-v0.1-top3
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+
dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [itsliupeng/Mixtral-8x7B-v0.1-top3](https://huggingface.co/itsliupeng/Mixtral-8x7B-v0.1-top3)\
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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_itsliupeng__Mixtral-8x7B-v0.1-top3\"\
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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 2023-12-24T20:17:11.492534](https://huggingface.co/datasets/open-llm-leaderboard/details_itsliupeng__Mixtral-8x7B-v0.1-top3/blob/main/results_2023-12-24T20-17-11.492534.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\": 0.7170056917230552,\n\
|
20 |
+
\ \"acc_stderr\": 0.03001643545450993,\n \"acc_norm\": 0.721542301890713,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.030593708007455218,\n \"mc1\": 0.32313341493268055,\n\
|
22 |
+
\ \"mc1_stderr\": 0.016371836286454607,\n \"mc2\": 0.48575008545428044,\n\
|
23 |
+
\ \"mc2_stderr\": 0.014261044394633108\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.6356655290102389,\n \"acc_stderr\": 0.014063260279882419,\n\
|
25 |
+
\ \"acc_norm\": 0.674061433447099,\n \"acc_norm_stderr\": 0.013697432466693244\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6715793666600279,\n\
|
27 |
+
\ \"acc_stderr\": 0.004686789042445367,\n \"acc_norm\": 0.8662617008564031,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.0033967530276634164\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.04852365870939099,\n \
|
30 |
+
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.04852365870939099\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.7185185185185186,\n\
|
32 |
+
\ \"acc_stderr\": 0.03885004245800254,\n \"acc_norm\": 0.7185185185185186,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.03885004245800254\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.8157894736842105,\n \"acc_stderr\": 0.0315469804508223,\n\
|
35 |
+
\ \"acc_norm\": 0.8157894736842105,\n \"acc_norm_stderr\": 0.0315469804508223\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.75,\n\
|
37 |
+
\ \"acc_stderr\": 0.04351941398892446,\n \"acc_norm\": 0.75,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.04351941398892446\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.7735849056603774,\n \"acc_stderr\": 0.025757559893106734,\n\
|
40 |
+
\ \"acc_norm\": 0.7735849056603774,\n \"acc_norm_stderr\": 0.025757559893106734\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.8541666666666666,\n\
|
42 |
+
\ \"acc_stderr\": 0.029514245964291766,\n \"acc_norm\": 0.8541666666666666,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.029514245964291766\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.54,\n \"acc_stderr\": 0.05009082659620332,\n \
|
45 |
+
\ \"acc_norm\": 0.54,\n \"acc_norm_stderr\": 0.05009082659620332\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
47 |
+
: 0.6,\n \"acc_stderr\": 0.04923659639173309,\n \"acc_norm\": 0.6,\n\
|
48 |
+
\ \"acc_norm_stderr\": 0.04923659639173309\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.46,\n \"acc_stderr\": 0.05009082659620332,\n \
|
50 |
+
\ \"acc_norm\": 0.46,\n \"acc_norm_stderr\": 0.05009082659620332\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.7225433526011561,\n\
|
52 |
+
\ \"acc_stderr\": 0.03414014007044036,\n \"acc_norm\": 0.7225433526011561,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03414014007044036\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.47058823529411764,\n \"acc_stderr\": 0.049665709039785295,\n\
|
55 |
+
\ \"acc_norm\": 0.47058823529411764,\n \"acc_norm_stderr\": 0.049665709039785295\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.84,\n \"acc_stderr\": 0.03684529491774709,\n \"acc_norm\": 0.84,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.03684529491774709\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.7191489361702128,\n \"acc_stderr\": 0.029379170464124825,\n\
|
60 |
+
\ \"acc_norm\": 0.7191489361702128,\n \"acc_norm_stderr\": 0.029379170464124825\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.631578947368421,\n\
|
62 |
+
\ \"acc_stderr\": 0.04537815354939391,\n \"acc_norm\": 0.631578947368421,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.04537815354939391\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.6482758620689655,\n \"acc_stderr\": 0.0397923663749741,\n\
|
65 |
+
\ \"acc_norm\": 0.6482758620689655,\n \"acc_norm_stderr\": 0.0397923663749741\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.4973544973544973,\n \"acc_stderr\": 0.025750949678130387,\n \"\
|
68 |
+
acc_norm\": 0.4973544973544973,\n \"acc_norm_stderr\": 0.025750949678130387\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.5873015873015873,\n\
|
70 |
+
\ \"acc_stderr\": 0.04403438954768176,\n \"acc_norm\": 0.5873015873015873,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.04403438954768176\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \
|
73 |
+
\ \"acc_norm\": 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.8548387096774194,\n\
|
75 |
+
\ \"acc_stderr\": 0.020039563628053286,\n \"acc_norm\": 0.8548387096774194,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.020039563628053286\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.625615763546798,\n \"acc_stderr\": 0.03405155380561952,\n\
|
78 |
+
\ \"acc_norm\": 0.625615763546798,\n \"acc_norm_stderr\": 0.03405155380561952\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \"acc_norm\"\
|
81 |
+
: 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.806060606060606,\n \"acc_stderr\": 0.030874145136562094,\n\
|
83 |
+
\ \"acc_norm\": 0.806060606060606,\n \"acc_norm_stderr\": 0.030874145136562094\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.8737373737373737,\n \"acc_stderr\": 0.023664359402880232,\n \"\
|
86 |
+
acc_norm\": 0.8737373737373737,\n \"acc_norm_stderr\": 0.023664359402880232\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.9430051813471503,\n \"acc_stderr\": 0.01673108529360755,\n\
|
89 |
+
\ \"acc_norm\": 0.9430051813471503,\n \"acc_norm_stderr\": 0.01673108529360755\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.7230769230769231,\n \"acc_stderr\": 0.022688042352424994,\n\
|
92 |
+
\ \"acc_norm\": 0.7230769230769231,\n \"acc_norm_stderr\": 0.022688042352424994\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.37407407407407406,\n \"acc_stderr\": 0.02950286112895529,\n \
|
95 |
+
\ \"acc_norm\": 0.37407407407407406,\n \"acc_norm_stderr\": 0.02950286112895529\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.7941176470588235,\n \"acc_stderr\": 0.02626502460827588,\n \
|
98 |
+
\ \"acc_norm\": 0.7941176470588235,\n \"acc_norm_stderr\": 0.02626502460827588\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.4768211920529801,\n \"acc_stderr\": 0.04078093859163083,\n \"\
|
101 |
+
acc_norm\": 0.4768211920529801,\n \"acc_norm_stderr\": 0.04078093859163083\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.8917431192660551,\n \"acc_stderr\": 0.013321348447611743,\n \"\
|
104 |
+
acc_norm\": 0.8917431192660551,\n \"acc_norm_stderr\": 0.013321348447611743\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.6203703703703703,\n \"acc_stderr\": 0.03309682581119035,\n \"\
|
107 |
+
acc_norm\": 0.6203703703703703,\n \"acc_norm_stderr\": 0.03309682581119035\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.8578431372549019,\n \"acc_stderr\": 0.02450980392156862,\n \"\
|
110 |
+
acc_norm\": 0.8578431372549019,\n \"acc_norm_stderr\": 0.02450980392156862\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.8607594936708861,\n \"acc_stderr\": 0.022535526352692705,\n \
|
113 |
+
\ \"acc_norm\": 0.8607594936708861,\n \"acc_norm_stderr\": 0.022535526352692705\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7713004484304933,\n\
|
115 |
+
\ \"acc_stderr\": 0.028188240046929203,\n \"acc_norm\": 0.7713004484304933,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.028188240046929203\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494732,\n\
|
118 |
+
\ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494732\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.859504132231405,\n \"acc_stderr\": 0.03172233426002158,\n \"acc_norm\"\
|
121 |
+
: 0.859504132231405,\n \"acc_norm_stderr\": 0.03172233426002158\n },\n\
|
122 |
+
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.8333333333333334,\n\
|
123 |
+
\ \"acc_stderr\": 0.036028141763926456,\n \"acc_norm\": 0.8333333333333334,\n\
|
124 |
+
\ \"acc_norm_stderr\": 0.036028141763926456\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.7791411042944786,\n \"acc_stderr\": 0.03259177392742179,\n\
|
126 |
+
\ \"acc_norm\": 0.7791411042944786,\n \"acc_norm_stderr\": 0.03259177392742179\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.5267857142857143,\n\
|
128 |
+
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.5267857142857143,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.8737864077669902,\n \"acc_stderr\": 0.03288180278808628,\n\
|
131 |
+
\ \"acc_norm\": 0.8737864077669902,\n \"acc_norm_stderr\": 0.03288180278808628\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.9145299145299145,\n\
|
133 |
+
\ \"acc_stderr\": 0.018315891685625856,\n \"acc_norm\": 0.9145299145299145,\n\
|
134 |
+
\ \"acc_norm_stderr\": 0.018315891685625856\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
135 |
+
: {\n \"acc\": 0.8,\n \"acc_stderr\": 0.040201512610368445,\n \
|
136 |
+
\ \"acc_norm\": 0.8,\n \"acc_norm_stderr\": 0.040201512610368445\n \
|
137 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8748403575989783,\n\
|
138 |
+
\ \"acc_stderr\": 0.011832954239305742,\n \"acc_norm\": 0.8748403575989783,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.011832954239305742\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.8005780346820809,\n \"acc_stderr\": 0.021511900654252552,\n\
|
141 |
+
\ \"acc_norm\": 0.8005780346820809,\n \"acc_norm_stderr\": 0.021511900654252552\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4212290502793296,\n\
|
143 |
+
\ \"acc_stderr\": 0.016513676031179595,\n \"acc_norm\": 0.4212290502793296,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.016513676031179595\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.803921568627451,\n \"acc_stderr\": 0.022733789405447593,\n\
|
146 |
+
\ \"acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.022733789405447593\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.8006430868167203,\n\
|
148 |
+
\ \"acc_stderr\": 0.022691033780549656,\n \"acc_norm\": 0.8006430868167203,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.022691033780549656\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.8580246913580247,\n \"acc_stderr\": 0.01942026010943829,\n\
|
151 |
+
\ \"acc_norm\": 0.8580246913580247,\n \"acc_norm_stderr\": 0.01942026010943829\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.5390070921985816,\n \"acc_stderr\": 0.02973659252642444,\n \
|
154 |
+
\ \"acc_norm\": 0.5390070921985816,\n \"acc_norm_stderr\": 0.02973659252642444\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.5404172099087353,\n\
|
156 |
+
\ \"acc_stderr\": 0.012728446067669952,\n \"acc_norm\": 0.5404172099087353,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012728446067669952\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.8051470588235294,\n \"acc_stderr\": 0.02406059942348742,\n\
|
159 |
+
\ \"acc_norm\": 0.8051470588235294,\n \"acc_norm_stderr\": 0.02406059942348742\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.7973856209150327,\n \"acc_stderr\": 0.01626105528374613,\n \
|
162 |
+
\ \"acc_norm\": 0.7973856209150327,\n \"acc_norm_stderr\": 0.01626105528374613\n\
|
163 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.7181818181818181,\n\
|
164 |
+
\ \"acc_stderr\": 0.04309118709946458,\n \"acc_norm\": 0.7181818181818181,\n\
|
165 |
+
\ \"acc_norm_stderr\": 0.04309118709946458\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
166 |
+
: {\n \"acc\": 0.7836734693877551,\n \"acc_stderr\": 0.026358916334904014,\n\
|
167 |
+
\ \"acc_norm\": 0.7836734693877551,\n \"acc_norm_stderr\": 0.026358916334904014\n\
|
168 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8805970149253731,\n\
|
169 |
+
\ \"acc_stderr\": 0.02292879327721974,\n \"acc_norm\": 0.8805970149253731,\n\
|
170 |
+
\ \"acc_norm_stderr\": 0.02292879327721974\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
171 |
+
: {\n \"acc\": 0.91,\n \"acc_stderr\": 0.02876234912646612,\n \
|
172 |
+
\ \"acc_norm\": 0.91,\n \"acc_norm_stderr\": 0.02876234912646612\n \
|
173 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5120481927710844,\n\
|
174 |
+
\ \"acc_stderr\": 0.03891364495835817,\n \"acc_norm\": 0.5120481927710844,\n\
|
175 |
+
\ \"acc_norm_stderr\": 0.03891364495835817\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
176 |
+
: {\n \"acc\": 0.8888888888888888,\n \"acc_stderr\": 0.024103384202072864,\n\
|
177 |
+
\ \"acc_norm\": 0.8888888888888888,\n \"acc_norm_stderr\": 0.024103384202072864\n\
|
178 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.32313341493268055,\n\
|
179 |
+
\ \"mc1_stderr\": 0.016371836286454607,\n \"mc2\": 0.48575008545428044,\n\
|
180 |
+
\ \"mc2_stderr\": 0.014261044394633108\n },\n \"harness|winogrande|5\"\
|
181 |
+
: {\n \"acc\": 0.823993685872139,\n \"acc_stderr\": 0.010703090882320708\n\
|
182 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5754359363153905,\n \
|
183 |
+
\ \"acc_stderr\": 0.013614835574956375\n }\n}\n```"
|
184 |
+
repo_url: https://huggingface.co/itsliupeng/Mixtral-8x7B-v0.1-top3
|
185 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
186 |
+
point_of_contact: clementine@hf.co
|
187 |
+
configs:
|
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+
- config_name: harness_arc_challenge_25
|
189 |
+
data_files:
|
190 |
+
- split: 2023_12_24T20_17_11.492534
|
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+
path:
|
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+
- '**/details_harness|arc:challenge|25_2023-12-24T20-17-11.492534.parquet'
|
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+
- split: latest
|
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+
path:
|
195 |
+
- '**/details_harness|arc:challenge|25_2023-12-24T20-17-11.492534.parquet'
|
196 |
+
- config_name: harness_gsm8k_5
|
197 |
+
data_files:
|
198 |
+
- split: 2023_12_24T20_17_11.492534
|
199 |
+
path:
|
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+
- '**/details_harness|gsm8k|5_2023-12-24T20-17-11.492534.parquet'
|
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- split: latest
|
202 |
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path:
|
203 |
+
- '**/details_harness|gsm8k|5_2023-12-24T20-17-11.492534.parquet'
|
204 |
+
- config_name: harness_hellaswag_10
|
205 |
+
data_files:
|
206 |
+
- split: 2023_12_24T20_17_11.492534
|
207 |
+
path:
|
208 |
+
- '**/details_harness|hellaswag|10_2023-12-24T20-17-11.492534.parquet'
|
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- split: latest
|
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path:
|
211 |
+
- '**/details_harness|hellaswag|10_2023-12-24T20-17-11.492534.parquet'
|
212 |
+
- config_name: harness_hendrycksTest_5
|
213 |
+
data_files:
|
214 |
+
- split: 2023_12_24T20_17_11.492534
|
215 |
+
path:
|
216 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-24T20-17-11.492534.parquet'
|
217 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-econometrics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-global_facts|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-management|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-24T20-17-11.492534.parquet'
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-virology|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-world_religions|5_2023-12-24T20-17-11.492534.parquet'
|
273 |
+
- split: latest
|
274 |
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path:
|
275 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-24T20-17-11.492534.parquet'
|
276 |
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-24T20-17-11.492534.parquet'
|
277 |
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-24T20-17-11.492534.parquet'
|
278 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-24T20-17-11.492534.parquet'
|
279 |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-24T20-17-11.492534.parquet'
|
281 |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-24T20-17-11.492534.parquet'
|
282 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-24T20-17-11.492534.parquet'
|
285 |
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-econometrics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-formal_logic|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-global_facts|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-high_school_biology|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_physics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-human_aging|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-human_sexuality|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-international_law|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- '**/details_harness|hendrycksTest-jurisprudence|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-machine_learning|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-management|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-marketing|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-24T20-17-11.492534.parquet'
|
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|
318 |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-24T20-17-11.492534.parquet'
|
319 |
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- '**/details_harness|hendrycksTest-nutrition|5_2023-12-24T20-17-11.492534.parquet'
|
320 |
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- '**/details_harness|hendrycksTest-philosophy|5_2023-12-24T20-17-11.492534.parquet'
|
321 |
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|
322 |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-24T20-17-11.492534.parquet'
|
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- '**/details_harness|hendrycksTest-professional_law|5_2023-12-24T20-17-11.492534.parquet'
|
324 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-24T20-17-11.492534.parquet'
|
325 |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-24T20-17-11.492534.parquet'
|
326 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-24T20-17-11.492534.parquet'
|
327 |
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- '**/details_harness|hendrycksTest-security_studies|5_2023-12-24T20-17-11.492534.parquet'
|
328 |
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- '**/details_harness|hendrycksTest-sociology|5_2023-12-24T20-17-11.492534.parquet'
|
329 |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-24T20-17-11.492534.parquet'
|
330 |
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- '**/details_harness|hendrycksTest-virology|5_2023-12-24T20-17-11.492534.parquet'
|
331 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-24T20-17-11.492534.parquet'
|
332 |
+
- config_name: harness_hendrycksTest_abstract_algebra_5
|
333 |
+
data_files:
|
334 |
+
- split: 2023_12_24T20_17_11.492534
|
335 |
+
path:
|
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+
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- split: latest
|
338 |
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path:
|
339 |
+
- '**/details_harness|hendrycksTest-abstract_algebra|5_2023-12-24T20-17-11.492534.parquet'
|
340 |
+
- config_name: harness_hendrycksTest_anatomy_5
|
341 |
+
data_files:
|
342 |
+
- split: 2023_12_24T20_17_11.492534
|
343 |
+
path:
|
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- '**/details_harness|hendrycksTest-anatomy|5_2023-12-24T20-17-11.492534.parquet'
|
345 |
+
- split: latest
|
346 |
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path:
|
347 |
+
- '**/details_harness|hendrycksTest-anatomy|5_2023-12-24T20-17-11.492534.parquet'
|
348 |
+
- config_name: harness_hendrycksTest_astronomy_5
|
349 |
+
data_files:
|
350 |
+
- split: 2023_12_24T20_17_11.492534
|
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+
path:
|
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- '**/details_harness|hendrycksTest-astronomy|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- split: latest
|
354 |
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path:
|
355 |
+
- '**/details_harness|hendrycksTest-astronomy|5_2023-12-24T20-17-11.492534.parquet'
|
356 |
+
- config_name: harness_hendrycksTest_business_ethics_5
|
357 |
+
data_files:
|
358 |
+
- split: 2023_12_24T20_17_11.492534
|
359 |
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path:
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-24T20-17-11.492534.parquet'
|
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- split: latest
|
362 |
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path:
|
363 |
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- '**/details_harness|hendrycksTest-business_ethics|5_2023-12-24T20-17-11.492534.parquet'
|
364 |
+
- config_name: harness_hendrycksTest_clinical_knowledge_5
|
365 |
+
data_files:
|
366 |
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- split: 2023_12_24T20_17_11.492534
|
367 |
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path:
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-24T20-17-11.492534.parquet'
|
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- split: latest
|
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path:
|
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+
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2023-12-24T20-17-11.492534.parquet'
|
372 |
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- config_name: harness_hendrycksTest_college_biology_5
|
373 |
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|
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- split: 2023_12_24T20_17_11.492534
|
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path:
|
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- '**/details_harness|hendrycksTest-college_biology|5_2023-12-24T20-17-11.492534.parquet'
|
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+
- split: latest
|
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path:
|
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+
- '**/details_harness|hendrycksTest-college_biology|5_2023-12-24T20-17-11.492534.parquet'
|
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- config_name: harness_hendrycksTest_college_chemistry_5
|
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data_files:
|
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- split: 2023_12_24T20_17_11.492534
|
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path:
|
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-24T20-17-11.492534.parquet'
|
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- split: latest
|
386 |
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path:
|
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- '**/details_harness|hendrycksTest-college_chemistry|5_2023-12-24T20-17-11.492534.parquet'
|
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- config_name: harness_hendrycksTest_college_computer_science_5
|
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data_files:
|
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- split: 2023_12_24T20_17_11.492534
|
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path:
|
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-24T20-17-11.492534.parquet'
|
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|
394 |
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path:
|
395 |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2023-12-24T20-17-11.492534.parquet'
|
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- config_name: harness_hendrycksTest_college_mathematics_5
|
397 |
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data_files:
|
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|
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path:
|
400 |
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|
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|
402 |
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|
403 |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-12-24T20-17-11.492534.parquet'
|
404 |
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- config_name: harness_hendrycksTest_college_medicine_5
|
405 |
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data_files:
|
406 |
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|
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path:
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-12-24T20-17-11.492534.parquet'
|
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|
410 |
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|
411 |
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|
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|
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|
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|
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|
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- '**/details_harness|hendrycksTest-college_physics|5_2023-12-24T20-17-11.492534.parquet'
|
417 |
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|
418 |
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|
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|
420 |
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|
421 |
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|
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|
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|
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|
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|
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|
427 |
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|
428 |
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- config_name: harness_hendrycksTest_conceptual_physics_5
|
429 |
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|
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|
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|
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|
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|
434 |
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|
435 |
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|
436 |
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|
437 |
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|
438 |
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|
439 |
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|
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|
441 |
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|
442 |
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|
443 |
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|
444 |
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|
445 |
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|
446 |
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|
447 |
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path:
|
448 |
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|
449 |
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|
450 |
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|
451 |
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|
452 |
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|
453 |
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|
454 |
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|
455 |
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|
456 |
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|
457 |
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|
458 |
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|
459 |
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|
460 |
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|
461 |
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|
462 |
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|
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|
464 |
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|
465 |
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|
466 |
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|
467 |
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|
468 |
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|
469 |
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|
470 |
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|
471 |
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|
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|
473 |
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|
474 |
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|
475 |
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|
476 |
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|
477 |
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|
478 |
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|
479 |
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|
480 |
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|
481 |
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|
482 |
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|
483 |
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|
484 |
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|
485 |
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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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|
493 |
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|
494 |
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|
495 |
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|
496 |
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|
497 |
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|
498 |
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|
499 |
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|
500 |
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|
501 |
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|
502 |
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|
503 |
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|
504 |
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|
505 |
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|
506 |
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|
507 |
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|
508 |
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- config_name: harness_hendrycksTest_high_school_geography_5
|
509 |
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|
510 |
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|
511 |
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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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|
518 |
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|
519 |
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|
520 |
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|
521 |
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|
522 |
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|
523 |
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|
524 |
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- config_name: harness_hendrycksTest_high_school_macroeconomics_5
|
525 |
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|
526 |
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|
527 |
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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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- config_name: harness_hendrycksTest_high_school_mathematics_5
|
533 |
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|
534 |
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|
535 |
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|
536 |
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|
537 |
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|
538 |
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|
539 |
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|
540 |
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|
541 |
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|
542 |
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|
543 |
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|
544 |
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|
545 |
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|
546 |
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|
547 |
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|
548 |
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|
549 |
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|
550 |
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|
551 |
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|
552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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|
557 |
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|
558 |
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|
559 |
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|
560 |
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|
561 |
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|
562 |
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|
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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|
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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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|
574 |
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|
575 |
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|
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|
577 |
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|
578 |
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|
579 |
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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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|
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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|
592 |
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|
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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|
598 |
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|
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path:
|
600 |
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|
601 |
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
607 |
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|
608 |
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|
609 |
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|
610 |
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|
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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path:
|
616 |
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|
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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|
622 |
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|
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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|
628 |
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|
629 |
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|
630 |
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|
631 |
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|
632 |
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|
633 |
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|
634 |
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|
635 |
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|
636 |
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|
637 |
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|
638 |
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|
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|
640 |
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|
641 |
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|
642 |
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|
643 |
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|
644 |
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|
645 |
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|
646 |
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|
647 |
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|
648 |
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|
649 |
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|
650 |
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|
651 |
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- '**/details_harness|hendrycksTest-marketing|5_2023-12-24T20-17-11.492534.parquet'
|
652 |
+
- config_name: harness_hendrycksTest_medical_genetics_5
|
653 |
+
data_files:
|
654 |
+
- split: 2023_12_24T20_17_11.492534
|
655 |
+
path:
|
656 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-24T20-17-11.492534.parquet'
|
657 |
+
- split: latest
|
658 |
+
path:
|
659 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2023-12-24T20-17-11.492534.parquet'
|
660 |
+
- config_name: harness_hendrycksTest_miscellaneous_5
|
661 |
+
data_files:
|
662 |
+
- split: 2023_12_24T20_17_11.492534
|
663 |
+
path:
|
664 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-24T20-17-11.492534.parquet'
|
665 |
+
- split: latest
|
666 |
+
path:
|
667 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2023-12-24T20-17-11.492534.parquet'
|
668 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
669 |
+
data_files:
|
670 |
+
- split: 2023_12_24T20_17_11.492534
|
671 |
+
path:
|
672 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-24T20-17-11.492534.parquet'
|
673 |
+
- split: latest
|
674 |
+
path:
|
675 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2023-12-24T20-17-11.492534.parquet'
|
676 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
677 |
+
data_files:
|
678 |
+
- split: 2023_12_24T20_17_11.492534
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-24T20-17-11.492534.parquet'
|
681 |
+
- split: latest
|
682 |
+
path:
|
683 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-12-24T20-17-11.492534.parquet'
|
684 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
685 |
+
data_files:
|
686 |
+
- split: 2023_12_24T20_17_11.492534
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-24T20-17-11.492534.parquet'
|
689 |
+
- split: latest
|
690 |
+
path:
|
691 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-12-24T20-17-11.492534.parquet'
|
692 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
693 |
+
data_files:
|
694 |
+
- split: 2023_12_24T20_17_11.492534
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-24T20-17-11.492534.parquet'
|
697 |
+
- split: latest
|
698 |
+
path:
|
699 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-12-24T20-17-11.492534.parquet'
|
700 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
701 |
+
data_files:
|
702 |
+
- split: 2023_12_24T20_17_11.492534
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-24T20-17-11.492534.parquet'
|
705 |
+
- split: latest
|
706 |
+
path:
|
707 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-12-24T20-17-11.492534.parquet'
|
708 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
709 |
+
data_files:
|
710 |
+
- split: 2023_12_24T20_17_11.492534
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-24T20-17-11.492534.parquet'
|
713 |
+
- split: latest
|
714 |
+
path:
|
715 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-12-24T20-17-11.492534.parquet'
|
716 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
717 |
+
data_files:
|
718 |
+
- split: 2023_12_24T20_17_11.492534
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-24T20-17-11.492534.parquet'
|
721 |
+
- split: latest
|
722 |
+
path:
|
723 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-12-24T20-17-11.492534.parquet'
|
724 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
725 |
+
data_files:
|
726 |
+
- split: 2023_12_24T20_17_11.492534
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-24T20-17-11.492534.parquet'
|
729 |
+
- split: latest
|
730 |
+
path:
|
731 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-12-24T20-17-11.492534.parquet'
|
732 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
733 |
+
data_files:
|
734 |
+
- split: 2023_12_24T20_17_11.492534
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-24T20-17-11.492534.parquet'
|
737 |
+
- split: latest
|
738 |
+
path:
|
739 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-12-24T20-17-11.492534.parquet'
|
740 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
741 |
+
data_files:
|
742 |
+
- split: 2023_12_24T20_17_11.492534
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-24T20-17-11.492534.parquet'
|
745 |
+
- split: latest
|
746 |
+
path:
|
747 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-12-24T20-17-11.492534.parquet'
|
748 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
749 |
+
data_files:
|
750 |
+
- split: 2023_12_24T20_17_11.492534
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-24T20-17-11.492534.parquet'
|
753 |
+
- split: latest
|
754 |
+
path:
|
755 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-12-24T20-17-11.492534.parquet'
|
756 |
+
- config_name: harness_hendrycksTest_sociology_5
|
757 |
+
data_files:
|
758 |
+
- split: 2023_12_24T20_17_11.492534
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-24T20-17-11.492534.parquet'
|
761 |
+
- split: latest
|
762 |
+
path:
|
763 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-12-24T20-17-11.492534.parquet'
|
764 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
765 |
+
data_files:
|
766 |
+
- split: 2023_12_24T20_17_11.492534
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-24T20-17-11.492534.parquet'
|
769 |
+
- split: latest
|
770 |
+
path:
|
771 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-12-24T20-17-11.492534.parquet'
|
772 |
+
- config_name: harness_hendrycksTest_virology_5
|
773 |
+
data_files:
|
774 |
+
- split: 2023_12_24T20_17_11.492534
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-24T20-17-11.492534.parquet'
|
777 |
+
- split: latest
|
778 |
+
path:
|
779 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-12-24T20-17-11.492534.parquet'
|
780 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
781 |
+
data_files:
|
782 |
+
- split: 2023_12_24T20_17_11.492534
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-24T20-17-11.492534.parquet'
|
785 |
+
- split: latest
|
786 |
+
path:
|
787 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-12-24T20-17-11.492534.parquet'
|
788 |
+
- config_name: harness_truthfulqa_mc_0
|
789 |
+
data_files:
|
790 |
+
- split: 2023_12_24T20_17_11.492534
|
791 |
+
path:
|
792 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-24T20-17-11.492534.parquet'
|
793 |
+
- split: latest
|
794 |
+
path:
|
795 |
+
- '**/details_harness|truthfulqa:mc|0_2023-12-24T20-17-11.492534.parquet'
|
796 |
+
- config_name: harness_winogrande_5
|
797 |
+
data_files:
|
798 |
+
- split: 2023_12_24T20_17_11.492534
|
799 |
+
path:
|
800 |
+
- '**/details_harness|winogrande|5_2023-12-24T20-17-11.492534.parquet'
|
801 |
+
- split: latest
|
802 |
+
path:
|
803 |
+
- '**/details_harness|winogrande|5_2023-12-24T20-17-11.492534.parquet'
|
804 |
+
- config_name: results
|
805 |
+
data_files:
|
806 |
+
- split: 2023_12_24T20_17_11.492534
|
807 |
+
path:
|
808 |
+
- results_2023-12-24T20-17-11.492534.parquet
|
809 |
+
- split: latest
|
810 |
+
path:
|
811 |
+
- results_2023-12-24T20-17-11.492534.parquet
|
812 |
+
---
|
813 |
+
|
814 |
+
# Dataset Card for Evaluation run of itsliupeng/Mixtral-8x7B-v0.1-top3
|
815 |
+
|
816 |
+
<!-- Provide a quick summary of the dataset. -->
|
817 |
+
|
818 |
+
Dataset automatically created during the evaluation run of model [itsliupeng/Mixtral-8x7B-v0.1-top3](https://huggingface.co/itsliupeng/Mixtral-8x7B-v0.1-top3) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
819 |
+
|
820 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
821 |
+
|
822 |
+
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.
|
823 |
+
|
824 |
+
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)).
|
825 |
+
|
826 |
+
To load the details from a run, you can for instance do the following:
|
827 |
+
```python
|
828 |
+
from datasets import load_dataset
|
829 |
+
data = load_dataset("open-llm-leaderboard/details_itsliupeng__Mixtral-8x7B-v0.1-top3",
|
830 |
+
"harness_winogrande_5",
|
831 |
+
split="train")
|
832 |
+
```
|
833 |
+
|
834 |
+
## Latest results
|
835 |
+
|
836 |
+
These are the [latest results from run 2023-12-24T20:17:11.492534](https://huggingface.co/datasets/open-llm-leaderboard/details_itsliupeng__Mixtral-8x7B-v0.1-top3/blob/main/results_2023-12-24T20-17-11.492534.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):
|
837 |
+
|
838 |
+
```python
|
839 |
+
{
|
840 |
+
"all": {
|
841 |
+
"acc": 0.7170056917230552,
|
842 |
+
"acc_stderr": 0.03001643545450993,
|
843 |
+
"acc_norm": 0.721542301890713,
|
844 |
+
"acc_norm_stderr": 0.030593708007455218,
|
845 |
+
"mc1": 0.32313341493268055,
|
846 |
+
"mc1_stderr": 0.016371836286454607,
|
847 |
+
"mc2": 0.48575008545428044,
|
848 |
+
"mc2_stderr": 0.014261044394633108
|
849 |
+
},
|
850 |
+
"harness|arc:challenge|25": {
|
851 |
+
"acc": 0.6356655290102389,
|
852 |
+
"acc_stderr": 0.014063260279882419,
|
853 |
+
"acc_norm": 0.674061433447099,
|
854 |
+
"acc_norm_stderr": 0.013697432466693244
|
855 |
+
},
|
856 |
+
"harness|hellaswag|10": {
|
857 |
+
"acc": 0.6715793666600279,
|
858 |
+
"acc_stderr": 0.004686789042445367,
|
859 |
+
"acc_norm": 0.8662617008564031,
|
860 |
+
"acc_norm_stderr": 0.0033967530276634164
|
861 |
+
},
|
862 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
863 |
+
"acc": 0.37,
|
864 |
+
"acc_stderr": 0.04852365870939099,
|
865 |
+
"acc_norm": 0.37,
|
866 |
+
"acc_norm_stderr": 0.04852365870939099
|
867 |
+
},
|
868 |
+
"harness|hendrycksTest-anatomy|5": {
|
869 |
+
"acc": 0.7185185185185186,
|
870 |
+
"acc_stderr": 0.03885004245800254,
|
871 |
+
"acc_norm": 0.7185185185185186,
|
872 |
+
"acc_norm_stderr": 0.03885004245800254
|
873 |
+
},
|
874 |
+
"harness|hendrycksTest-astronomy|5": {
|
875 |
+
"acc": 0.8157894736842105,
|
876 |
+
"acc_stderr": 0.0315469804508223,
|
877 |
+
"acc_norm": 0.8157894736842105,
|
878 |
+
"acc_norm_stderr": 0.0315469804508223
|
879 |
+
},
|
880 |
+
"harness|hendrycksTest-business_ethics|5": {
|
881 |
+
"acc": 0.75,
|
882 |
+
"acc_stderr": 0.04351941398892446,
|
883 |
+
"acc_norm": 0.75,
|
884 |
+
"acc_norm_stderr": 0.04351941398892446
|
885 |
+
},
|
886 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
887 |
+
"acc": 0.7735849056603774,
|
888 |
+
"acc_stderr": 0.025757559893106734,
|
889 |
+
"acc_norm": 0.7735849056603774,
|
890 |
+
"acc_norm_stderr": 0.025757559893106734
|
891 |
+
},
|
892 |
+
"harness|hendrycksTest-college_biology|5": {
|
893 |
+
"acc": 0.8541666666666666,
|
894 |
+
"acc_stderr": 0.029514245964291766,
|
895 |
+
"acc_norm": 0.8541666666666666,
|
896 |
+
"acc_norm_stderr": 0.029514245964291766
|
897 |
+
},
|
898 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
899 |
+
"acc": 0.54,
|
900 |
+
"acc_stderr": 0.05009082659620332,
|
901 |
+
"acc_norm": 0.54,
|
902 |
+
"acc_norm_stderr": 0.05009082659620332
|
903 |
+
},
|
904 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
905 |
+
"acc": 0.6,
|
906 |
+
"acc_stderr": 0.04923659639173309,
|
907 |
+
"acc_norm": 0.6,
|
908 |
+
"acc_norm_stderr": 0.04923659639173309
|
909 |
+
},
|
910 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
911 |
+
"acc": 0.46,
|
912 |
+
"acc_stderr": 0.05009082659620332,
|
913 |
+
"acc_norm": 0.46,
|
914 |
+
"acc_norm_stderr": 0.05009082659620332
|
915 |
+
},
|
916 |
+
"harness|hendrycksTest-college_medicine|5": {
|
917 |
+
"acc": 0.7225433526011561,
|
918 |
+
"acc_stderr": 0.03414014007044036,
|
919 |
+
"acc_norm": 0.7225433526011561,
|
920 |
+
"acc_norm_stderr": 0.03414014007044036
|
921 |
+
},
|
922 |
+
"harness|hendrycksTest-college_physics|5": {
|
923 |
+
"acc": 0.47058823529411764,
|
924 |
+
"acc_stderr": 0.049665709039785295,
|
925 |
+
"acc_norm": 0.47058823529411764,
|
926 |
+
"acc_norm_stderr": 0.049665709039785295
|
927 |
+
},
|
928 |
+
"harness|hendrycksTest-computer_security|5": {
|
929 |
+
"acc": 0.84,
|
930 |
+
"acc_stderr": 0.03684529491774709,
|
931 |
+
"acc_norm": 0.84,
|
932 |
+
"acc_norm_stderr": 0.03684529491774709
|
933 |
+
},
|
934 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
935 |
+
"acc": 0.7191489361702128,
|
936 |
+
"acc_stderr": 0.029379170464124825,
|
937 |
+
"acc_norm": 0.7191489361702128,
|
938 |
+
"acc_norm_stderr": 0.029379170464124825
|
939 |
+
},
|
940 |
+
"harness|hendrycksTest-econometrics|5": {
|
941 |
+
"acc": 0.631578947368421,
|
942 |
+
"acc_stderr": 0.04537815354939391,
|
943 |
+
"acc_norm": 0.631578947368421,
|
944 |
+
"acc_norm_stderr": 0.04537815354939391
|
945 |
+
},
|
946 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
947 |
+
"acc": 0.6482758620689655,
|
948 |
+
"acc_stderr": 0.0397923663749741,
|
949 |
+
"acc_norm": 0.6482758620689655,
|
950 |
+
"acc_norm_stderr": 0.0397923663749741
|
951 |
+
},
|
952 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
953 |
+
"acc": 0.4973544973544973,
|
954 |
+
"acc_stderr": 0.025750949678130387,
|
955 |
+
"acc_norm": 0.4973544973544973,
|
956 |
+
"acc_norm_stderr": 0.025750949678130387
|
957 |
+
},
|
958 |
+
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},
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},
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"harness|hendrycksTest-medical_genetics|5": {
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},
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"harness|hendrycksTest-miscellaneous|5": {
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},
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"harness|hendrycksTest-moral_disputes|5": {
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},
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1120 |
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"harness|hendrycksTest-moral_scenarios|5": {
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1125 |
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},
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"harness|hendrycksTest-nutrition|5": {
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"acc": 0.803921568627451,
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},
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},
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"harness|hendrycksTest-prehistory|5": {
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"acc": 0.8580246913580247,
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},
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"harness|hendrycksTest-professional_accounting|5": {
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1145 |
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"acc": 0.5390070921985816,
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1149 |
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},
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"harness|hendrycksTest-professional_law|5": {
|
1151 |
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"acc": 0.5404172099087353,
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1152 |
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1155 |
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},
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"harness|hendrycksTest-professional_medicine|5": {
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"acc": 0.8051470588235294,
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1161 |
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},
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1162 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1163 |
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1164 |
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1166 |
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1167 |
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},
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1168 |
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"harness|hendrycksTest-public_relations|5": {
|
1169 |
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"acc": 0.7181818181818181,
|
1170 |
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1173 |
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},
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1174 |
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"harness|hendrycksTest-security_studies|5": {
|
1175 |
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"acc": 0.7836734693877551,
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1177 |
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1179 |
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},
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1180 |
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"harness|hendrycksTest-sociology|5": {
|
1181 |
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"acc": 0.8805970149253731,
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1182 |
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1185 |
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},
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1186 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1187 |
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"acc": 0.91,
|
1188 |
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1190 |
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|
1191 |
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},
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1192 |
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"harness|hendrycksTest-virology|5": {
|
1193 |
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1197 |
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},
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1198 |
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"harness|hendrycksTest-world_religions|5": {
|
1199 |
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"acc": 0.8888888888888888,
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1200 |
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1201 |
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1202 |
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|
1203 |
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},
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1204 |
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"harness|truthfulqa:mc|0": {
|
1205 |
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"mc1": 0.32313341493268055,
|
1206 |
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1207 |
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"mc2": 0.48575008545428044,
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1208 |
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1209 |
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},
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1210 |
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"harness|winogrande|5": {
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1211 |
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"acc": 0.823993685872139,
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1212 |
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1213 |
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},
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1214 |
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"harness|gsm8k|5": {
|
1215 |
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"acc": 0.5754359363153905,
|
1216 |
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"acc_stderr": 0.013614835574956375
|
1217 |
+
}
|
1218 |
+
}
|
1219 |
+
```
|
1220 |
+
|
1221 |
+
## Dataset Details
|
1222 |
+
|
1223 |
+
### Dataset Description
|
1224 |
+
|
1225 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
1226 |
+
|
1227 |
+
|
1228 |
+
|
1229 |
+
- **Curated by:** [More Information Needed]
|
1230 |
+
- **Funded by [optional]:** [More Information Needed]
|
1231 |
+
- **Shared by [optional]:** [More Information Needed]
|
1232 |
+
- **Language(s) (NLP):** [More Information Needed]
|
1233 |
+
- **License:** [More Information Needed]
|
1234 |
+
|
1235 |
+
### Dataset Sources [optional]
|
1236 |
+
|
1237 |
+
<!-- Provide the basic links for the dataset. -->
|
1238 |
+
|
1239 |
+
- **Repository:** [More Information Needed]
|
1240 |
+
- **Paper [optional]:** [More Information Needed]
|
1241 |
+
- **Demo [optional]:** [More Information Needed]
|
1242 |
+
|
1243 |
+
## Uses
|
1244 |
+
|
1245 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
1246 |
+
|
1247 |
+
### Direct Use
|
1248 |
+
|
1249 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
1250 |
+
|
1251 |
+
[More Information Needed]
|
1252 |
+
|
1253 |
+
### Out-of-Scope Use
|
1254 |
+
|
1255 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
1256 |
+
|
1257 |
+
[More Information Needed]
|
1258 |
+
|
1259 |
+
## Dataset Structure
|
1260 |
+
|
1261 |
+
<!-- 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. -->
|
1262 |
+
|
1263 |
+
[More Information Needed]
|
1264 |
+
|
1265 |
+
## Dataset Creation
|
1266 |
+
|
1267 |
+
### Curation Rationale
|
1268 |
+
|
1269 |
+
<!-- Motivation for the creation of this dataset. -->
|
1270 |
+
|
1271 |
+
[More Information Needed]
|
1272 |
+
|
1273 |
+
### Source Data
|
1274 |
+
|
1275 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
1276 |
+
|
1277 |
+
#### Data Collection and Processing
|
1278 |
+
|
1279 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
1280 |
+
|
1281 |
+
[More Information Needed]
|
1282 |
+
|
1283 |
+
#### Who are the source data producers?
|
1284 |
+
|
1285 |
+
<!-- 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. -->
|
1286 |
+
|
1287 |
+
[More Information Needed]
|
1288 |
+
|
1289 |
+
### Annotations [optional]
|
1290 |
+
|
1291 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
1292 |
+
|
1293 |
+
#### Annotation process
|
1294 |
+
|
1295 |
+
<!-- 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. -->
|
1296 |
+
|
1297 |
+
[More Information Needed]
|
1298 |
+
|
1299 |
+
#### Who are the annotators?
|
1300 |
+
|
1301 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
1302 |
+
|
1303 |
+
[More Information Needed]
|
1304 |
+
|
1305 |
+
#### Personal and Sensitive Information
|
1306 |
+
|
1307 |
+
<!-- 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. -->
|
1308 |
+
|
1309 |
+
[More Information Needed]
|
1310 |
+
|
1311 |
+
## Bias, Risks, and Limitations
|
1312 |
+
|
1313 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
1314 |
+
|
1315 |
+
[More Information Needed]
|
1316 |
+
|
1317 |
+
### Recommendations
|
1318 |
+
|
1319 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
1320 |
+
|
1321 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
1322 |
+
|
1323 |
+
## Citation [optional]
|
1324 |
+
|
1325 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
1326 |
+
|
1327 |
+
**BibTeX:**
|
1328 |
+
|
1329 |
+
[More Information Needed]
|
1330 |
+
|
1331 |
+
**APA:**
|
1332 |
+
|
1333 |
+
[More Information Needed]
|
1334 |
+
|
1335 |
+
## Glossary [optional]
|
1336 |
+
|
1337 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
1338 |
+
|
1339 |
+
[More Information Needed]
|
1340 |
+
|
1341 |
+
## More Information [optional]
|
1342 |
+
|
1343 |
+
[More Information Needed]
|
1344 |
+
|
1345 |
+
## Dataset Card Authors [optional]
|
1346 |
+
|
1347 |
+
[More Information Needed]
|
1348 |
+
|
1349 |
+
## Dataset Card Contact
|
1350 |
+
|
1351 |
+
[More Information Needed]
|