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README.md
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1 |
+
---
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+
pretty_name: Evaluation run of Undi95/ReMM-v2.2-L2-13B
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+
dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) on the\
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\ [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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+
\nThe dataset is composed of 61 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 agregated metrics on the [Open LLM\
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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_Undi95__ReMM-v2.2-L2-13B\"\
|
15 |
+
,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
|
16 |
+
\nThese are the [latest results from run 2023-10-03T16:45:21.105610](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B/blob/main/results_2023-10-03T16-45-21.105610.json)(note\
|
17 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
18 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.564002539739021,\n\
|
20 |
+
\ \"acc_stderr\": 0.034462415944422044,\n \"acc_norm\": 0.567760182755492,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.034440565206339785,\n \"mc1\": 0.36964504283965727,\n\
|
22 |
+
\ \"mc1_stderr\": 0.016898180706973888,\n \"mc2\": 0.5135116682163505,\n\
|
23 |
+
\ \"mc2_stderr\": 0.015657648011440012\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.5836177474402731,\n \"acc_stderr\": 0.01440561827943618,\n\
|
25 |
+
\ \"acc_norm\": 0.6126279863481229,\n \"acc_norm_stderr\": 0.014235872487909869\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6488747261501693,\n\
|
27 |
+
\ \"acc_stderr\": 0.004763465139038559,\n \"acc_norm\": 0.8415654252141008,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.003644017383711596\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\": 0.5111111111111111,\n\
|
32 |
+
\ \"acc_stderr\": 0.04318275491977976,\n \"acc_norm\": 0.5111111111111111,\n\
|
33 |
+
\ \"acc_norm_stderr\": 0.04318275491977976\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.5328947368421053,\n \"acc_stderr\": 0.040601270352363966,\n\
|
35 |
+
\ \"acc_norm\": 0.5328947368421053,\n \"acc_norm_stderr\": 0.040601270352363966\n\
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.56,\n\
|
37 |
+
\ \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.56,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.5924528301886792,\n \"acc_stderr\": 0.030242233800854494,\n\
|
40 |
+
\ \"acc_norm\": 0.5924528301886792,\n \"acc_norm_stderr\": 0.030242233800854494\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6041666666666666,\n\
|
42 |
+
\ \"acc_stderr\": 0.04089465449325582,\n \"acc_norm\": 0.6041666666666666,\n\
|
43 |
+
\ \"acc_norm_stderr\": 0.04089465449325582\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.34,\n \"acc_stderr\": 0.04760952285695235,\n \
|
45 |
+
\ \"acc_norm\": 0.34,\n \"acc_norm_stderr\": 0.04760952285695235\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
47 |
+
: 0.44,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\": 0.44,\n\
|
48 |
+
\ \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
|
50 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5317919075144508,\n\
|
52 |
+
\ \"acc_stderr\": 0.03804749744364764,\n \"acc_norm\": 0.5317919075144508,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03804749744364764\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.24509803921568626,\n \"acc_stderr\": 0.04280105837364397,\n\
|
55 |
+
\ \"acc_norm\": 0.24509803921568626,\n \"acc_norm_stderr\": 0.04280105837364397\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.71,\n \"acc_stderr\": 0.04560480215720685,\n \"acc_norm\": 0.71,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.04560480215720685\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.4723404255319149,\n \"acc_stderr\": 0.03263597118409769,\n\
|
60 |
+
\ \"acc_norm\": 0.4723404255319149,\n \"acc_norm_stderr\": 0.03263597118409769\n\
|
61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.2894736842105263,\n\
|
62 |
+
\ \"acc_stderr\": 0.04266339443159394,\n \"acc_norm\": 0.2894736842105263,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.04266339443159394\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.5172413793103449,\n \"acc_stderr\": 0.04164188720169375,\n\
|
65 |
+
\ \"acc_norm\": 0.5172413793103449,\n \"acc_norm_stderr\": 0.04164188720169375\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.3439153439153439,\n \"acc_stderr\": 0.024464426625596433,\n \"\
|
68 |
+
acc_norm\": 0.3439153439153439,\n \"acc_norm_stderr\": 0.024464426625596433\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.3492063492063492,\n\
|
70 |
+
\ \"acc_stderr\": 0.04263906892795132,\n \"acc_norm\": 0.3492063492063492,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.04263906892795132\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145633,\n \
|
73 |
+
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145633\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.6483870967741936,\n\
|
75 |
+
\ \"acc_stderr\": 0.02716253782694846,\n \"acc_norm\": 0.6483870967741936,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.02716253782694846\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.43842364532019706,\n \"acc_stderr\": 0.03491207857486518,\n\
|
78 |
+
\ \"acc_norm\": 0.43842364532019706,\n \"acc_norm_stderr\": 0.03491207857486518\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.56,\n \"acc_stderr\": 0.04988876515698589,\n \"acc_norm\"\
|
81 |
+
: 0.56,\n \"acc_norm_stderr\": 0.04988876515698589\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.6666666666666666,\n \"acc_stderr\": 0.0368105086916155,\n\
|
83 |
+
\ \"acc_norm\": 0.6666666666666666,\n \"acc_norm_stderr\": 0.0368105086916155\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.702020202020202,\n \"acc_stderr\": 0.03258630383836556,\n \"acc_norm\"\
|
86 |
+
: 0.702020202020202,\n \"acc_norm_stderr\": 0.03258630383836556\n },\n\
|
87 |
+
\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \
|
88 |
+
\ \"acc\": 0.7979274611398963,\n \"acc_stderr\": 0.028979089794296732,\n\
|
89 |
+
\ \"acc_norm\": 0.7979274611398963,\n \"acc_norm_stderr\": 0.028979089794296732\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.5256410256410257,\n \"acc_stderr\": 0.025317649726448663,\n\
|
92 |
+
\ \"acc_norm\": 0.5256410256410257,\n \"acc_norm_stderr\": 0.025317649726448663\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473072,\n \
|
95 |
+
\ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473072\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.5966386554621849,\n \"acc_stderr\": 0.031866081214088314,\n\
|
98 |
+
\ \"acc_norm\": 0.5966386554621849,\n \"acc_norm_stderr\": 0.031866081214088314\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.3509933774834437,\n \"acc_stderr\": 0.03896981964257375,\n \"\
|
101 |
+
acc_norm\": 0.3509933774834437,\n \"acc_norm_stderr\": 0.03896981964257375\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.7302752293577982,\n \"acc_stderr\": 0.01902848671111544,\n \"\
|
104 |
+
acc_norm\": 0.7302752293577982,\n \"acc_norm_stderr\": 0.01902848671111544\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.41203703703703703,\n \"acc_stderr\": 0.03356787758160835,\n \"\
|
107 |
+
acc_norm\": 0.41203703703703703,\n \"acc_norm_stderr\": 0.03356787758160835\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145628,\n \"\
|
110 |
+
acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145628\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.7637130801687764,\n \"acc_stderr\": 0.02765215314415927,\n \
|
113 |
+
\ \"acc_norm\": 0.7637130801687764,\n \"acc_norm_stderr\": 0.02765215314415927\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6771300448430493,\n\
|
115 |
+
\ \"acc_stderr\": 0.03138147637575499,\n \"acc_norm\": 0.6771300448430493,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.03138147637575499\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.04260735157644559,\n\
|
118 |
+
\ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.04260735157644559\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.7272727272727273,\n \"acc_stderr\": 0.04065578140908705,\n \"\
|
121 |
+
acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.04065578140908705\n\
|
122 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.75,\n\
|
123 |
+
\ \"acc_stderr\": 0.04186091791394607,\n \"acc_norm\": 0.75,\n \
|
124 |
+
\ \"acc_norm_stderr\": 0.04186091791394607\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.6993865030674846,\n \"acc_stderr\": 0.03602511318806771,\n\
|
126 |
+
\ \"acc_norm\": 0.6993865030674846,\n \"acc_norm_stderr\": 0.03602511318806771\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.36607142857142855,\n\
|
128 |
+
\ \"acc_stderr\": 0.0457237235873743,\n \"acc_norm\": 0.36607142857142855,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.0457237235873743\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.7087378640776699,\n \"acc_stderr\": 0.044986763205729224,\n\
|
131 |
+
\ \"acc_norm\": 0.7087378640776699,\n \"acc_norm_stderr\": 0.044986763205729224\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.7948717948717948,\n\
|
133 |
+
\ \"acc_stderr\": 0.026453508054040332,\n \"acc_norm\": 0.7948717948717948,\n\
|
134 |
+
\ \"acc_norm_stderr\": 0.026453508054040332\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
135 |
+
: {\n \"acc\": 0.59,\n \"acc_stderr\": 0.049431107042371025,\n \
|
136 |
+
\ \"acc_norm\": 0.59,\n \"acc_norm_stderr\": 0.049431107042371025\n \
|
137 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7611749680715197,\n\
|
138 |
+
\ \"acc_stderr\": 0.015246803197398675,\n \"acc_norm\": 0.7611749680715197,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.015246803197398675\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.6358381502890174,\n \"acc_stderr\": 0.025906632631016127,\n\
|
141 |
+
\ \"acc_norm\": 0.6358381502890174,\n \"acc_norm_stderr\": 0.025906632631016127\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.45363128491620114,\n\
|
143 |
+
\ \"acc_stderr\": 0.016650437588269073,\n \"acc_norm\": 0.45363128491620114,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.016650437588269073\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.6143790849673203,\n \"acc_stderr\": 0.02787074527829028,\n\
|
146 |
+
\ \"acc_norm\": 0.6143790849673203,\n \"acc_norm_stderr\": 0.02787074527829028\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6430868167202572,\n\
|
148 |
+
\ \"acc_stderr\": 0.027210420375934023,\n \"acc_norm\": 0.6430868167202572,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.027210420375934023\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.6203703703703703,\n \"acc_stderr\": 0.027002521034516478,\n\
|
151 |
+
\ \"acc_norm\": 0.6203703703703703,\n \"acc_norm_stderr\": 0.027002521034516478\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.425531914893617,\n \"acc_stderr\": 0.029494827600144373,\n \
|
154 |
+
\ \"acc_norm\": 0.425531914893617,\n \"acc_norm_stderr\": 0.029494827600144373\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.42503259452411996,\n\
|
156 |
+
\ \"acc_stderr\": 0.012625879884891998,\n \"acc_norm\": 0.42503259452411996,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012625879884891998\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.5183823529411765,\n \"acc_stderr\": 0.030352303395351964,\n\
|
159 |
+
\ \"acc_norm\": 0.5183823529411765,\n \"acc_norm_stderr\": 0.030352303395351964\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.5816993464052288,\n \"acc_stderr\": 0.019955975145835546,\n \
|
162 |
+
\ \"acc_norm\": 0.5816993464052288,\n \"acc_norm_stderr\": 0.019955975145835546\n\
|
163 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6545454545454545,\n\
|
164 |
+
\ \"acc_stderr\": 0.04554619617541054,\n \"acc_norm\": 0.6545454545454545,\n\
|
165 |
+
\ \"acc_norm_stderr\": 0.04554619617541054\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
166 |
+
: {\n \"acc\": 0.6244897959183674,\n \"acc_stderr\": 0.03100120903989484,\n\
|
167 |
+
\ \"acc_norm\": 0.6244897959183674,\n \"acc_norm_stderr\": 0.03100120903989484\n\
|
168 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.6865671641791045,\n\
|
169 |
+
\ \"acc_stderr\": 0.032801882053486435,\n \"acc_norm\": 0.6865671641791045,\n\
|
170 |
+
\ \"acc_norm_stderr\": 0.032801882053486435\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
171 |
+
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
|
172 |
+
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\n \
|
173 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.463855421686747,\n\
|
174 |
+
\ \"acc_stderr\": 0.03882310850890594,\n \"acc_norm\": 0.463855421686747,\n\
|
175 |
+
\ \"acc_norm_stderr\": 0.03882310850890594\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
176 |
+
: {\n \"acc\": 0.7602339181286549,\n \"acc_stderr\": 0.03274485211946956,\n\
|
177 |
+
\ \"acc_norm\": 0.7602339181286549,\n \"acc_norm_stderr\": 0.03274485211946956\n\
|
178 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.36964504283965727,\n\
|
179 |
+
\ \"mc1_stderr\": 0.016898180706973888,\n \"mc2\": 0.5135116682163505,\n\
|
180 |
+
\ \"mc2_stderr\": 0.015657648011440012\n }\n}\n```"
|
181 |
+
repo_url: https://huggingface.co/Undi95/ReMM-v2.2-L2-13B
|
182 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
183 |
+
point_of_contact: clementine@hf.co
|
184 |
+
configs:
|
185 |
+
- config_name: harness_arc_challenge_25
|
186 |
+
data_files:
|
187 |
+
- split: 2023_10_03T16_45_21.105610
|
188 |
+
path:
|
189 |
+
- '**/details_harness|arc:challenge|25_2023-10-03T16-45-21.105610.parquet'
|
190 |
+
- split: latest
|
191 |
+
path:
|
192 |
+
- '**/details_harness|arc:challenge|25_2023-10-03T16-45-21.105610.parquet'
|
193 |
+
- config_name: harness_hellaswag_10
|
194 |
+
data_files:
|
195 |
+
- split: 2023_10_03T16_45_21.105610
|
196 |
+
path:
|
197 |
+
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data_files:
|
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- split: 2023_10_03T16_45_21.105610
|
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path:
|
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+
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-03T16-45-21.105610.parquet'
|
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+
- split: latest
|
391 |
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path:
|
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+
- '**/details_harness|hendrycksTest-college_mathematics|5_2023-10-03T16-45-21.105610.parquet'
|
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- config_name: harness_hendrycksTest_college_medicine_5
|
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+
data_files:
|
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|
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path:
|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-03T16-45-21.105610.parquet'
|
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- split: latest
|
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path:
|
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+
- '**/details_harness|hendrycksTest-college_medicine|5_2023-10-03T16-45-21.105610.parquet'
|
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+
- config_name: harness_hendrycksTest_college_physics_5
|
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data_files:
|
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- split: 2023_10_03T16_45_21.105610
|
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path:
|
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- '**/details_harness|hendrycksTest-college_physics|5_2023-10-03T16-45-21.105610.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-college_physics|5_2023-10-03T16-45-21.105610.parquet'
|
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- config_name: harness_hendrycksTest_computer_security_5
|
410 |
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data_files:
|
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|
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path:
|
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- '**/details_harness|hendrycksTest-computer_security|5_2023-10-03T16-45-21.105610.parquet'
|
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- split: latest
|
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|
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|
417 |
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- config_name: harness_hendrycksTest_conceptual_physics_5
|
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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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|
426 |
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|
427 |
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|
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|
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|
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|
431 |
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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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|
439 |
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|
440 |
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|
441 |
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|
442 |
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|
443 |
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|
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|
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|
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|
447 |
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|
448 |
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|
449 |
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|
450 |
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|
451 |
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|
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|
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|
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|
455 |
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|
456 |
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|
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|
458 |
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|
459 |
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|
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|
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|
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|
463 |
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|
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|
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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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|
472 |
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|
473 |
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- config_name: harness_hendrycksTest_high_school_chemistry_5
|
474 |
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|
475 |
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|
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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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|
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|
486 |
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|
487 |
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|
488 |
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
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|
494 |
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|
495 |
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|
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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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|
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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- config_name: harness_hendrycksTest_high_school_macroeconomics_5
|
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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- config_name: harness_hendrycksTest_high_school_mathematics_5
|
522 |
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|
523 |
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|
524 |
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|
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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|
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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|
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|
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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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|
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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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|
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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|
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|
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|
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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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|
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|
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|
598 |
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|
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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|
604 |
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|
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|
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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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|
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|
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|
614 |
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|
615 |
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|
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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|
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|
629 |
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|
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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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|
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|
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|
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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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|
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|
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|
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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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|
652 |
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path:
|
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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- config_name: harness_hendrycksTest_moral_disputes_5
|
658 |
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|
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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|
665 |
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- config_name: harness_hendrycksTest_moral_scenarios_5
|
666 |
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data_files:
|
667 |
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- split: 2023_10_03T16_45_21.105610
|
668 |
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|
669 |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-03T16-45-21.105610.parquet'
|
670 |
+
- split: latest
|
671 |
+
path:
|
672 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-10-03T16-45-21.105610.parquet'
|
673 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
674 |
+
data_files:
|
675 |
+
- split: 2023_10_03T16_45_21.105610
|
676 |
+
path:
|
677 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-03T16-45-21.105610.parquet'
|
678 |
+
- split: latest
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-10-03T16-45-21.105610.parquet'
|
681 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
682 |
+
data_files:
|
683 |
+
- split: 2023_10_03T16_45_21.105610
|
684 |
+
path:
|
685 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-03T16-45-21.105610.parquet'
|
686 |
+
- split: latest
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-10-03T16-45-21.105610.parquet'
|
689 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
690 |
+
data_files:
|
691 |
+
- split: 2023_10_03T16_45_21.105610
|
692 |
+
path:
|
693 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-03T16-45-21.105610.parquet'
|
694 |
+
- split: latest
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-10-03T16-45-21.105610.parquet'
|
697 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
698 |
+
data_files:
|
699 |
+
- split: 2023_10_03T16_45_21.105610
|
700 |
+
path:
|
701 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-03T16-45-21.105610.parquet'
|
702 |
+
- split: latest
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-10-03T16-45-21.105610.parquet'
|
705 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
706 |
+
data_files:
|
707 |
+
- split: 2023_10_03T16_45_21.105610
|
708 |
+
path:
|
709 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-03T16-45-21.105610.parquet'
|
710 |
+
- split: latest
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-10-03T16-45-21.105610.parquet'
|
713 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
714 |
+
data_files:
|
715 |
+
- split: 2023_10_03T16_45_21.105610
|
716 |
+
path:
|
717 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-03T16-45-21.105610.parquet'
|
718 |
+
- split: latest
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-10-03T16-45-21.105610.parquet'
|
721 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
722 |
+
data_files:
|
723 |
+
- split: 2023_10_03T16_45_21.105610
|
724 |
+
path:
|
725 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-03T16-45-21.105610.parquet'
|
726 |
+
- split: latest
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-10-03T16-45-21.105610.parquet'
|
729 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
730 |
+
data_files:
|
731 |
+
- split: 2023_10_03T16_45_21.105610
|
732 |
+
path:
|
733 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-03T16-45-21.105610.parquet'
|
734 |
+
- split: latest
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-10-03T16-45-21.105610.parquet'
|
737 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
738 |
+
data_files:
|
739 |
+
- split: 2023_10_03T16_45_21.105610
|
740 |
+
path:
|
741 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-03T16-45-21.105610.parquet'
|
742 |
+
- split: latest
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-10-03T16-45-21.105610.parquet'
|
745 |
+
- config_name: harness_hendrycksTest_sociology_5
|
746 |
+
data_files:
|
747 |
+
- split: 2023_10_03T16_45_21.105610
|
748 |
+
path:
|
749 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-10-03T16-45-21.105610.parquet'
|
750 |
+
- split: latest
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-10-03T16-45-21.105610.parquet'
|
753 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
754 |
+
data_files:
|
755 |
+
- split: 2023_10_03T16_45_21.105610
|
756 |
+
path:
|
757 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-03T16-45-21.105610.parquet'
|
758 |
+
- split: latest
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-10-03T16-45-21.105610.parquet'
|
761 |
+
- config_name: harness_hendrycksTest_virology_5
|
762 |
+
data_files:
|
763 |
+
- split: 2023_10_03T16_45_21.105610
|
764 |
+
path:
|
765 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-10-03T16-45-21.105610.parquet'
|
766 |
+
- split: latest
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-10-03T16-45-21.105610.parquet'
|
769 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
770 |
+
data_files:
|
771 |
+
- split: 2023_10_03T16_45_21.105610
|
772 |
+
path:
|
773 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-03T16-45-21.105610.parquet'
|
774 |
+
- split: latest
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-10-03T16-45-21.105610.parquet'
|
777 |
+
- config_name: harness_truthfulqa_mc_0
|
778 |
+
data_files:
|
779 |
+
- split: 2023_10_03T16_45_21.105610
|
780 |
+
path:
|
781 |
+
- '**/details_harness|truthfulqa:mc|0_2023-10-03T16-45-21.105610.parquet'
|
782 |
+
- split: latest
|
783 |
+
path:
|
784 |
+
- '**/details_harness|truthfulqa:mc|0_2023-10-03T16-45-21.105610.parquet'
|
785 |
+
- config_name: results
|
786 |
+
data_files:
|
787 |
+
- split: 2023_10_03T16_45_21.105610
|
788 |
+
path:
|
789 |
+
- results_2023-10-03T16-45-21.105610.parquet
|
790 |
+
- split: latest
|
791 |
+
path:
|
792 |
+
- results_2023-10-03T16-45-21.105610.parquet
|
793 |
+
---
|
794 |
+
|
795 |
+
# Dataset Card for Evaluation run of Undi95/ReMM-v2.2-L2-13B
|
796 |
+
|
797 |
+
## Dataset Description
|
798 |
+
|
799 |
+
- **Homepage:**
|
800 |
+
- **Repository:** https://huggingface.co/Undi95/ReMM-v2.2-L2-13B
|
801 |
+
- **Paper:**
|
802 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
803 |
+
- **Point of Contact:** clementine@hf.co
|
804 |
+
|
805 |
+
### Dataset Summary
|
806 |
+
|
807 |
+
Dataset automatically created during the evaluation run of model [Undi95/ReMM-v2.2-L2-13B](https://huggingface.co/Undi95/ReMM-v2.2-L2-13B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
808 |
+
|
809 |
+
The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task.
|
810 |
+
|
811 |
+
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.
|
812 |
+
|
813 |
+
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)).
|
814 |
+
|
815 |
+
To load the details from a run, you can for instance do the following:
|
816 |
+
```python
|
817 |
+
from datasets import load_dataset
|
818 |
+
data = load_dataset("open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B",
|
819 |
+
"harness_truthfulqa_mc_0",
|
820 |
+
split="train")
|
821 |
+
```
|
822 |
+
|
823 |
+
## Latest results
|
824 |
+
|
825 |
+
These are the [latest results from run 2023-10-03T16:45:21.105610](https://huggingface.co/datasets/open-llm-leaderboard/details_Undi95__ReMM-v2.2-L2-13B/blob/main/results_2023-10-03T16-45-21.105610.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):
|
826 |
+
|
827 |
+
```python
|
828 |
+
{
|
829 |
+
"all": {
|
830 |
+
"acc": 0.564002539739021,
|
831 |
+
"acc_stderr": 0.034462415944422044,
|
832 |
+
"acc_norm": 0.567760182755492,
|
833 |
+
"acc_norm_stderr": 0.034440565206339785,
|
834 |
+
"mc1": 0.36964504283965727,
|
835 |
+
"mc1_stderr": 0.016898180706973888,
|
836 |
+
"mc2": 0.5135116682163505,
|
837 |
+
"mc2_stderr": 0.015657648011440012
|
838 |
+
},
|
839 |
+
"harness|arc:challenge|25": {
|
840 |
+
"acc": 0.5836177474402731,
|
841 |
+
"acc_stderr": 0.01440561827943618,
|
842 |
+
"acc_norm": 0.6126279863481229,
|
843 |
+
"acc_norm_stderr": 0.014235872487909869
|
844 |
+
},
|
845 |
+
"harness|hellaswag|10": {
|
846 |
+
"acc": 0.6488747261501693,
|
847 |
+
"acc_stderr": 0.004763465139038559,
|
848 |
+
"acc_norm": 0.8415654252141008,
|
849 |
+
"acc_norm_stderr": 0.003644017383711596
|
850 |
+
},
|
851 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
852 |
+
"acc": 0.37,
|
853 |
+
"acc_stderr": 0.04852365870939099,
|
854 |
+
"acc_norm": 0.37,
|
855 |
+
"acc_norm_stderr": 0.04852365870939099
|
856 |
+
},
|
857 |
+
"harness|hendrycksTest-anatomy|5": {
|
858 |
+
"acc": 0.5111111111111111,
|
859 |
+
"acc_stderr": 0.04318275491977976,
|
860 |
+
"acc_norm": 0.5111111111111111,
|
861 |
+
"acc_norm_stderr": 0.04318275491977976
|
862 |
+
},
|
863 |
+
"harness|hendrycksTest-astronomy|5": {
|
864 |
+
"acc": 0.5328947368421053,
|
865 |
+
"acc_stderr": 0.040601270352363966,
|
866 |
+
"acc_norm": 0.5328947368421053,
|
867 |
+
"acc_norm_stderr": 0.040601270352363966
|
868 |
+
},
|
869 |
+
"harness|hendrycksTest-business_ethics|5": {
|
870 |
+
"acc": 0.56,
|
871 |
+
"acc_stderr": 0.04988876515698589,
|
872 |
+
"acc_norm": 0.56,
|
873 |
+
"acc_norm_stderr": 0.04988876515698589
|
874 |
+
},
|
875 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
876 |
+
"acc": 0.5924528301886792,
|
877 |
+
"acc_stderr": 0.030242233800854494,
|
878 |
+
"acc_norm": 0.5924528301886792,
|
879 |
+
"acc_norm_stderr": 0.030242233800854494
|
880 |
+
},
|
881 |
+
"harness|hendrycksTest-college_biology|5": {
|
882 |
+
"acc": 0.6041666666666666,
|
883 |
+
"acc_stderr": 0.04089465449325582,
|
884 |
+
"acc_norm": 0.6041666666666666,
|
885 |
+
"acc_norm_stderr": 0.04089465449325582
|
886 |
+
},
|
887 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
888 |
+
"acc": 0.34,
|
889 |
+
"acc_stderr": 0.04760952285695235,
|
890 |
+
"acc_norm": 0.34,
|
891 |
+
"acc_norm_stderr": 0.04760952285695235
|
892 |
+
},
|
893 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
894 |
+
"acc": 0.44,
|
895 |
+
"acc_stderr": 0.04988876515698589,
|
896 |
+
"acc_norm": 0.44,
|
897 |
+
"acc_norm_stderr": 0.04988876515698589
|
898 |
+
},
|
899 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
900 |
+
"acc": 0.35,
|
901 |
+
"acc_stderr": 0.047937248544110196,
|
902 |
+
"acc_norm": 0.35,
|
903 |
+
"acc_norm_stderr": 0.047937248544110196
|
904 |
+
},
|
905 |
+
"harness|hendrycksTest-college_medicine|5": {
|
906 |
+
"acc": 0.5317919075144508,
|
907 |
+
"acc_stderr": 0.03804749744364764,
|
908 |
+
"acc_norm": 0.5317919075144508,
|
909 |
+
"acc_norm_stderr": 0.03804749744364764
|
910 |
+
},
|
911 |
+
"harness|hendrycksTest-college_physics|5": {
|
912 |
+
"acc": 0.24509803921568626,
|
913 |
+
"acc_stderr": 0.04280105837364397,
|
914 |
+
"acc_norm": 0.24509803921568626,
|
915 |
+
"acc_norm_stderr": 0.04280105837364397
|
916 |
+
},
|
917 |
+
"harness|hendrycksTest-computer_security|5": {
|
918 |
+
"acc": 0.71,
|
919 |
+
"acc_stderr": 0.04560480215720685,
|
920 |
+
"acc_norm": 0.71,
|
921 |
+
"acc_norm_stderr": 0.04560480215720685
|
922 |
+
},
|
923 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
924 |
+
"acc": 0.4723404255319149,
|
925 |
+
"acc_stderr": 0.03263597118409769,
|
926 |
+
"acc_norm": 0.4723404255319149,
|
927 |
+
"acc_norm_stderr": 0.03263597118409769
|
928 |
+
},
|
929 |
+
"harness|hendrycksTest-econometrics|5": {
|
930 |
+
"acc": 0.2894736842105263,
|
931 |
+
"acc_stderr": 0.04266339443159394,
|
932 |
+
"acc_norm": 0.2894736842105263,
|
933 |
+
"acc_norm_stderr": 0.04266339443159394
|
934 |
+
},
|
935 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
936 |
+
"acc": 0.5172413793103449,
|
937 |
+
"acc_stderr": 0.04164188720169375,
|
938 |
+
"acc_norm": 0.5172413793103449,
|
939 |
+
"acc_norm_stderr": 0.04164188720169375
|
940 |
+
},
|
941 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
942 |
+
"acc": 0.3439153439153439,
|
943 |
+
"acc_stderr": 0.024464426625596433,
|
944 |
+
"acc_norm": 0.3439153439153439,
|
945 |
+
"acc_norm_stderr": 0.024464426625596433
|
946 |
+
},
|
947 |
+
"harness|hendrycksTest-formal_logic|5": {
|
948 |
+
"acc": 0.3492063492063492,
|
949 |
+
"acc_stderr": 0.04263906892795132,
|
950 |
+
"acc_norm": 0.3492063492063492,
|
951 |
+
"acc_norm_stderr": 0.04263906892795132
|
952 |
+
},
|
953 |
+
"harness|hendrycksTest-global_facts|5": {
|
954 |
+
"acc": 0.38,
|
955 |
+
"acc_stderr": 0.04878317312145633,
|
956 |
+
"acc_norm": 0.38,
|
957 |
+
"acc_norm_stderr": 0.04878317312145633
|
958 |
+
},
|
959 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
960 |
+
"acc": 0.6483870967741936,
|
961 |
+
"acc_stderr": 0.02716253782694846,
|
962 |
+
"acc_norm": 0.6483870967741936,
|
963 |
+
"acc_norm_stderr": 0.02716253782694846
|
964 |
+
},
|
965 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
966 |
+
"acc": 0.43842364532019706,
|
967 |
+
"acc_stderr": 0.03491207857486518,
|
968 |
+
"acc_norm": 0.43842364532019706,
|
969 |
+
"acc_norm_stderr": 0.03491207857486518
|
970 |
+
},
|
971 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
972 |
+
"acc": 0.56,
|
973 |
+
"acc_stderr": 0.04988876515698589,
|
974 |
+
"acc_norm": 0.56,
|
975 |
+
"acc_norm_stderr": 0.04988876515698589
|
976 |
+
},
|
977 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
978 |
+
"acc": 0.6666666666666666,
|
979 |
+
"acc_stderr": 0.0368105086916155,
|
980 |
+
"acc_norm": 0.6666666666666666,
|
981 |
+
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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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"harness|hendrycksTest-nutrition|5": {
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1120 |
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},
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1121 |
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"harness|hendrycksTest-philosophy|5": {
|
1122 |
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1123 |
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1125 |
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1126 |
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},
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1127 |
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"harness|hendrycksTest-prehistory|5": {
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1128 |
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1129 |
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1130 |
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1132 |
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},
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1133 |
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"harness|hendrycksTest-professional_accounting|5": {
|
1134 |
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1138 |
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"harness|hendrycksTest-professional_law|5": {
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1144 |
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1145 |
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"harness|hendrycksTest-professional_medicine|5": {
|
1146 |
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"harness|hendrycksTest-professional_psychology|5": {
|
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1156 |
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"harness|hendrycksTest-public_relations|5": {
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1162 |
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},
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"harness|hendrycksTest-security_studies|5": {
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1164 |
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"harness|hendrycksTest-sociology|5": {
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1170 |
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1174 |
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},
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1175 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1176 |
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1177 |
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1178 |
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1179 |
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1180 |
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1181 |
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"harness|hendrycksTest-virology|5": {
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1182 |
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1186 |
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},
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1187 |
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"harness|hendrycksTest-world_religions|5": {
|
1188 |
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1189 |
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1190 |
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1192 |
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},
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1193 |
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"harness|truthfulqa:mc|0": {
|
1194 |
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|
1195 |
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|
1196 |
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1197 |
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|
1198 |
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}
|
1199 |
+
}
|
1200 |
+
```
|
1201 |
+
|
1202 |
+
### Supported Tasks and Leaderboards
|
1203 |
+
|
1204 |
+
[More Information Needed]
|
1205 |
+
|
1206 |
+
### Languages
|
1207 |
+
|
1208 |
+
[More Information Needed]
|
1209 |
+
|
1210 |
+
## Dataset Structure
|
1211 |
+
|
1212 |
+
### Data Instances
|
1213 |
+
|
1214 |
+
[More Information Needed]
|
1215 |
+
|
1216 |
+
### Data Fields
|
1217 |
+
|
1218 |
+
[More Information Needed]
|
1219 |
+
|
1220 |
+
### Data Splits
|
1221 |
+
|
1222 |
+
[More Information Needed]
|
1223 |
+
|
1224 |
+
## Dataset Creation
|
1225 |
+
|
1226 |
+
### Curation Rationale
|
1227 |
+
|
1228 |
+
[More Information Needed]
|
1229 |
+
|
1230 |
+
### Source Data
|
1231 |
+
|
1232 |
+
#### Initial Data Collection and Normalization
|
1233 |
+
|
1234 |
+
[More Information Needed]
|
1235 |
+
|
1236 |
+
#### Who are the source language producers?
|
1237 |
+
|
1238 |
+
[More Information Needed]
|
1239 |
+
|
1240 |
+
### Annotations
|
1241 |
+
|
1242 |
+
#### Annotation process
|
1243 |
+
|
1244 |
+
[More Information Needed]
|
1245 |
+
|
1246 |
+
#### Who are the annotators?
|
1247 |
+
|
1248 |
+
[More Information Needed]
|
1249 |
+
|
1250 |
+
### Personal and Sensitive Information
|
1251 |
+
|
1252 |
+
[More Information Needed]
|
1253 |
+
|
1254 |
+
## Considerations for Using the Data
|
1255 |
+
|
1256 |
+
### Social Impact of Dataset
|
1257 |
+
|
1258 |
+
[More Information Needed]
|
1259 |
+
|
1260 |
+
### Discussion of Biases
|
1261 |
+
|
1262 |
+
[More Information Needed]
|
1263 |
+
|
1264 |
+
### Other Known Limitations
|
1265 |
+
|
1266 |
+
[More Information Needed]
|
1267 |
+
|
1268 |
+
## Additional Information
|
1269 |
+
|
1270 |
+
### Dataset Curators
|
1271 |
+
|
1272 |
+
[More Information Needed]
|
1273 |
+
|
1274 |
+
### Licensing Information
|
1275 |
+
|
1276 |
+
[More Information Needed]
|
1277 |
+
|
1278 |
+
### Citation Information
|
1279 |
+
|
1280 |
+
[More Information Needed]
|
1281 |
+
|
1282 |
+
### Contributions
|
1283 |
+
|
1284 |
+
[More Information Needed]
|