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1 |
+
---
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+
pretty_name: Evaluation run of yihan6324/llama2-13b-instructmining-40k-sharegpt
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+
dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [yihan6324/llama2-13b-instructmining-40k-sharegpt](https://huggingface.co/yihan6324/llama2-13b-instructmining-40k-sharegpt)\
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+
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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6 |
+
\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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\ 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_yihan6324__llama2-13b-instructmining-40k-sharegpt\"\
|
15 |
+
,\n\t\"harness_truthfulqa_mc_0\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\
|
16 |
+
\nThese are the [latest results from run 2023-08-17T15:06:33.773565](https://huggingface.co/datasets/open-llm-leaderboard/details_yihan6324__llama2-13b-instructmining-40k-sharegpt/blob/main/results_2023-08-17T15%3A06%3A33.773565.json):\n\
|
17 |
+
\n```python\n{\n \"all\": {\n \"acc\": 0.5659221179678169,\n \"\
|
18 |
+
acc_stderr\": 0.03435610194042996,\n \"acc_norm\": 0.5698526105353496,\n\
|
19 |
+
\ \"acc_norm_stderr\": 0.03433517528186645,\n \"mc1\": 0.35862913096695226,\n\
|
20 |
+
\ \"mc1_stderr\": 0.016789289499502022,\n \"mc2\": 0.5244082340441981,\n\
|
21 |
+
\ \"mc2_stderr\": 0.015623466277080963\n },\n \"harness|arc:challenge|25\"\
|
22 |
+
: {\n \"acc\": 0.5656996587030717,\n \"acc_stderr\": 0.01448470304885736,\n\
|
23 |
+
\ \"acc_norm\": 0.5998293515358362,\n \"acc_norm_stderr\": 0.014317197787809169\n\
|
24 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6328420633339972,\n\
|
25 |
+
\ \"acc_stderr\": 0.004810449343572395,\n \"acc_norm\": 0.8306114319856602,\n\
|
26 |
+
\ \"acc_norm_stderr\": 0.003743281749373634\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
27 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.0479372485441102,\n \
|
28 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.0479372485441102\n },\n\
|
29 |
+
\ \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.48148148148148145,\n\
|
30 |
+
\ \"acc_stderr\": 0.043163785995113245,\n \"acc_norm\": 0.48148148148148145,\n\
|
31 |
+
\ \"acc_norm_stderr\": 0.043163785995113245\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
32 |
+
: {\n \"acc\": 0.625,\n \"acc_stderr\": 0.039397364351956274,\n \
|
33 |
+
\ \"acc_norm\": 0.625,\n \"acc_norm_stderr\": 0.039397364351956274\n\
|
34 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.59,\n\
|
35 |
+
\ \"acc_stderr\": 0.049431107042371025,\n \"acc_norm\": 0.59,\n \
|
36 |
+
\ \"acc_norm_stderr\": 0.049431107042371025\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
37 |
+
: {\n \"acc\": 0.6150943396226415,\n \"acc_stderr\": 0.02994649856769995,\n\
|
38 |
+
\ \"acc_norm\": 0.6150943396226415,\n \"acc_norm_stderr\": 0.02994649856769995\n\
|
39 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.6111111111111112,\n\
|
40 |
+
\ \"acc_stderr\": 0.04076663253918567,\n \"acc_norm\": 0.6111111111111112,\n\
|
41 |
+
\ \"acc_norm_stderr\": 0.04076663253918567\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
42 |
+
: {\n \"acc\": 0.41,\n \"acc_stderr\": 0.04943110704237102,\n \
|
43 |
+
\ \"acc_norm\": 0.41,\n \"acc_norm_stderr\": 0.04943110704237102\n \
|
44 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\"\
|
45 |
+
: 0.47,\n \"acc_stderr\": 0.05016135580465919,\n \"acc_norm\": 0.47,\n\
|
46 |
+
\ \"acc_norm_stderr\": 0.05016135580465919\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
47 |
+
: {\n \"acc\": 0.37,\n \"acc_stderr\": 0.048523658709391,\n \
|
48 |
+
\ \"acc_norm\": 0.37,\n \"acc_norm_stderr\": 0.048523658709391\n },\n\
|
49 |
+
\ \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5895953757225434,\n\
|
50 |
+
\ \"acc_stderr\": 0.03750757044895537,\n \"acc_norm\": 0.5895953757225434,\n\
|
51 |
+
\ \"acc_norm_stderr\": 0.03750757044895537\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
52 |
+
: {\n \"acc\": 0.3431372549019608,\n \"acc_stderr\": 0.04724007352383887,\n\
|
53 |
+
\ \"acc_norm\": 0.3431372549019608,\n \"acc_norm_stderr\": 0.04724007352383887\n\
|
54 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
55 |
+
\ 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \"acc_norm\": 0.71,\n\
|
56 |
+
\ \"acc_norm_stderr\": 0.045604802157206845\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
57 |
+
: {\n \"acc\": 0.4595744680851064,\n \"acc_stderr\": 0.03257901482099835,\n\
|
58 |
+
\ \"acc_norm\": 0.4595744680851064,\n \"acc_norm_stderr\": 0.03257901482099835\n\
|
59 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.23684210526315788,\n\
|
60 |
+
\ \"acc_stderr\": 0.039994238792813344,\n \"acc_norm\": 0.23684210526315788,\n\
|
61 |
+
\ \"acc_norm_stderr\": 0.039994238792813344\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
62 |
+
: {\n \"acc\": 0.503448275862069,\n \"acc_stderr\": 0.04166567577101579,\n\
|
63 |
+
\ \"acc_norm\": 0.503448275862069,\n \"acc_norm_stderr\": 0.04166567577101579\n\
|
64 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
65 |
+
: 0.29365079365079366,\n \"acc_stderr\": 0.023456037383982026,\n \"\
|
66 |
+
acc_norm\": 0.29365079365079366,\n \"acc_norm_stderr\": 0.023456037383982026\n\
|
67 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.36507936507936506,\n\
|
68 |
+
\ \"acc_stderr\": 0.04306241259127153,\n \"acc_norm\": 0.36507936507936506,\n\
|
69 |
+
\ \"acc_norm_stderr\": 0.04306241259127153\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
70 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \
|
71 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \
|
72 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\"\
|
73 |
+
: 0.6709677419354839,\n \"acc_stderr\": 0.026729499068349958,\n \"\
|
74 |
+
acc_norm\": 0.6709677419354839,\n \"acc_norm_stderr\": 0.026729499068349958\n\
|
75 |
+
\ },\n \"harness|hendrycksTest-high_school_chemistry|5\": {\n \"acc\"\
|
76 |
+
: 0.45320197044334976,\n \"acc_stderr\": 0.03502544650845872,\n \"\
|
77 |
+
acc_norm\": 0.45320197044334976,\n \"acc_norm_stderr\": 0.03502544650845872\n\
|
78 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
79 |
+
\ \"acc\": 0.56,\n \"acc_stderr\": 0.049888765156985884,\n \"acc_norm\"\
|
80 |
+
: 0.56,\n \"acc_norm_stderr\": 0.049888765156985884\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
81 |
+
: {\n \"acc\": 0.6787878787878788,\n \"acc_stderr\": 0.0364620496325381,\n\
|
82 |
+
\ \"acc_norm\": 0.6787878787878788,\n \"acc_norm_stderr\": 0.0364620496325381\n\
|
83 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
84 |
+
: 0.7171717171717171,\n \"acc_stderr\": 0.03208779558786753,\n \"\
|
85 |
+
acc_norm\": 0.7171717171717171,\n \"acc_norm_stderr\": 0.03208779558786753\n\
|
86 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
87 |
+
\ \"acc\": 0.8134715025906736,\n \"acc_stderr\": 0.02811209121011748,\n\
|
88 |
+
\ \"acc_norm\": 0.8134715025906736,\n \"acc_norm_stderr\": 0.02811209121011748\n\
|
89 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
90 |
+
\ \"acc\": 0.5333333333333333,\n \"acc_stderr\": 0.025294608023986472,\n\
|
91 |
+
\ \"acc_norm\": 0.5333333333333333,\n \"acc_norm_stderr\": 0.025294608023986472\n\
|
92 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
93 |
+
acc\": 0.26666666666666666,\n \"acc_stderr\": 0.026962424325073838,\n \
|
94 |
+
\ \"acc_norm\": 0.26666666666666666,\n \"acc_norm_stderr\": 0.026962424325073838\n\
|
95 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
96 |
+
\ \"acc\": 0.5378151260504201,\n \"acc_stderr\": 0.032385469487589795,\n\
|
97 |
+
\ \"acc_norm\": 0.5378151260504201,\n \"acc_norm_stderr\": 0.032385469487589795\n\
|
98 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
99 |
+
: 0.304635761589404,\n \"acc_stderr\": 0.037579499229433426,\n \"\
|
100 |
+
acc_norm\": 0.304635761589404,\n \"acc_norm_stderr\": 0.037579499229433426\n\
|
101 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
102 |
+
: 0.7669724770642202,\n \"acc_stderr\": 0.018125669180861507,\n \"\
|
103 |
+
acc_norm\": 0.7669724770642202,\n \"acc_norm_stderr\": 0.018125669180861507\n\
|
104 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
105 |
+
: 0.4305555555555556,\n \"acc_stderr\": 0.03376922151252336,\n \"\
|
106 |
+
acc_norm\": 0.4305555555555556,\n \"acc_norm_stderr\": 0.03376922151252336\n\
|
107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
108 |
+
: 0.7647058823529411,\n \"acc_stderr\": 0.029771775228145638,\n \"\
|
109 |
+
acc_norm\": 0.7647058823529411,\n \"acc_norm_stderr\": 0.029771775228145638\n\
|
110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
111 |
+
acc\": 0.7510548523206751,\n \"acc_stderr\": 0.028146970599422644,\n \
|
112 |
+
\ \"acc_norm\": 0.7510548523206751,\n \"acc_norm_stderr\": 0.028146970599422644\n\
|
113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.672645739910314,\n\
|
114 |
+
\ \"acc_stderr\": 0.03149384670994131,\n \"acc_norm\": 0.672645739910314,\n\
|
115 |
+
\ \"acc_norm_stderr\": 0.03149384670994131\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
116 |
+
: {\n \"acc\": 0.6183206106870229,\n \"acc_stderr\": 0.04260735157644559,\n\
|
117 |
+
\ \"acc_norm\": 0.6183206106870229,\n \"acc_norm_stderr\": 0.04260735157644559\n\
|
118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
119 |
+
\ 0.71900826446281,\n \"acc_stderr\": 0.041032038305145124,\n \"acc_norm\"\
|
120 |
+
: 0.71900826446281,\n \"acc_norm_stderr\": 0.041032038305145124\n },\n\
|
121 |
+
\ \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7129629629629629,\n\
|
122 |
+
\ \"acc_stderr\": 0.043733130409147614,\n \"acc_norm\": 0.7129629629629629,\n\
|
123 |
+
\ \"acc_norm_stderr\": 0.043733130409147614\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
124 |
+
: {\n \"acc\": 0.6625766871165644,\n \"acc_stderr\": 0.03714908409935574,\n\
|
125 |
+
\ \"acc_norm\": 0.6625766871165644,\n \"acc_norm_stderr\": 0.03714908409935574\n\
|
126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.33035714285714285,\n\
|
127 |
+
\ \"acc_stderr\": 0.04464285714285713,\n \"acc_norm\": 0.33035714285714285,\n\
|
128 |
+
\ \"acc_norm_stderr\": 0.04464285714285713\n },\n \"harness|hendrycksTest-management|5\"\
|
129 |
+
: {\n \"acc\": 0.6796116504854369,\n \"acc_stderr\": 0.04620284082280041,\n\
|
130 |
+
\ \"acc_norm\": 0.6796116504854369,\n \"acc_norm_stderr\": 0.04620284082280041\n\
|
131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8418803418803419,\n\
|
132 |
+
\ \"acc_stderr\": 0.02390232554956041,\n \"acc_norm\": 0.8418803418803419,\n\
|
133 |
+
\ \"acc_norm_stderr\": 0.02390232554956041\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
134 |
+
: {\n \"acc\": 0.58,\n \"acc_stderr\": 0.04960449637488583,\n \
|
135 |
+
\ \"acc_norm\": 0.58,\n \"acc_norm_stderr\": 0.04960449637488583\n \
|
136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7509578544061303,\n\
|
137 |
+
\ \"acc_stderr\": 0.015464676163395958,\n \"acc_norm\": 0.7509578544061303,\n\
|
138 |
+
\ \"acc_norm_stderr\": 0.015464676163395958\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
139 |
+
: {\n \"acc\": 0.630057803468208,\n \"acc_stderr\": 0.025992472029306386,\n\
|
140 |
+
\ \"acc_norm\": 0.630057803468208,\n \"acc_norm_stderr\": 0.025992472029306386\n\
|
141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.4122905027932961,\n\
|
142 |
+
\ \"acc_stderr\": 0.01646320023811453,\n \"acc_norm\": 0.4122905027932961,\n\
|
143 |
+
\ \"acc_norm_stderr\": 0.01646320023811453\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
144 |
+
: {\n \"acc\": 0.6013071895424836,\n \"acc_stderr\": 0.028036092273891776,\n\
|
145 |
+
\ \"acc_norm\": 0.6013071895424836,\n \"acc_norm_stderr\": 0.028036092273891776\n\
|
146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6205787781350482,\n\
|
147 |
+
\ \"acc_stderr\": 0.027559949802347817,\n \"acc_norm\": 0.6205787781350482,\n\
|
148 |
+
\ \"acc_norm_stderr\": 0.027559949802347817\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
149 |
+
: {\n \"acc\": 0.6265432098765432,\n \"acc_stderr\": 0.026915003011380154,\n\
|
150 |
+
\ \"acc_norm\": 0.6265432098765432,\n \"acc_norm_stderr\": 0.026915003011380154\n\
|
151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
152 |
+
acc\": 0.4219858156028369,\n \"acc_stderr\": 0.029462189233370593,\n \
|
153 |
+
\ \"acc_norm\": 0.4219858156028369,\n \"acc_norm_stderr\": 0.029462189233370593\n\
|
154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4256844850065189,\n\
|
155 |
+
\ \"acc_stderr\": 0.012628393551811943,\n \"acc_norm\": 0.4256844850065189,\n\
|
156 |
+
\ \"acc_norm_stderr\": 0.012628393551811943\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
157 |
+
: {\n \"acc\": 0.5735294117647058,\n \"acc_stderr\": 0.03004261583271486,\n\
|
158 |
+
\ \"acc_norm\": 0.5735294117647058,\n \"acc_norm_stderr\": 0.03004261583271486\n\
|
159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
160 |
+
acc\": 0.5784313725490197,\n \"acc_stderr\": 0.01997742260022747,\n \
|
161 |
+
\ \"acc_norm\": 0.5784313725490197,\n \"acc_norm_stderr\": 0.01997742260022747\n\
|
162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6181818181818182,\n\
|
163 |
+
\ \"acc_stderr\": 0.046534298079135075,\n \"acc_norm\": 0.6181818181818182,\n\
|
164 |
+
\ \"acc_norm_stderr\": 0.046534298079135075\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
165 |
+
: {\n \"acc\": 0.6285714285714286,\n \"acc_stderr\": 0.03093285879278985,\n\
|
166 |
+
\ \"acc_norm\": 0.6285714285714286,\n \"acc_norm_stderr\": 0.03093285879278985\n\
|
167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7761194029850746,\n\
|
168 |
+
\ \"acc_stderr\": 0.029475250236017193,\n \"acc_norm\": 0.7761194029850746,\n\
|
169 |
+
\ \"acc_norm_stderr\": 0.029475250236017193\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
170 |
+
: {\n \"acc\": 0.82,\n \"acc_stderr\": 0.038612291966536934,\n \
|
171 |
+
\ \"acc_norm\": 0.82,\n \"acc_norm_stderr\": 0.038612291966536934\n \
|
172 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4939759036144578,\n\
|
173 |
+
\ \"acc_stderr\": 0.03892212195333045,\n \"acc_norm\": 0.4939759036144578,\n\
|
174 |
+
\ \"acc_norm_stderr\": 0.03892212195333045\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
175 |
+
: {\n \"acc\": 0.7719298245614035,\n \"acc_stderr\": 0.032180937956023566,\n\
|
176 |
+
\ \"acc_norm\": 0.7719298245614035,\n \"acc_norm_stderr\": 0.032180937956023566\n\
|
177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.35862913096695226,\n\
|
178 |
+
\ \"mc1_stderr\": 0.016789289499502022,\n \"mc2\": 0.5244082340441981,\n\
|
179 |
+
\ \"mc2_stderr\": 0.015623466277080963\n }\n}\n```"
|
180 |
+
repo_url: https://huggingface.co/yihan6324/llama2-13b-instructmining-40k-sharegpt
|
181 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
182 |
+
point_of_contact: clementine@hf.co
|
183 |
+
configs:
|
184 |
+
- config_name: harness_arc_challenge_25
|
185 |
+
data_files:
|
186 |
+
- split: 2023_08_17T15_06_33.773565
|
187 |
+
path:
|
188 |
+
- '**/details_harness|arc:challenge|25_2023-08-17T15:06:33.773565.parquet'
|
189 |
+
- split: latest
|
190 |
+
path:
|
191 |
+
- '**/details_harness|arc:challenge|25_2023-08-17T15:06:33.773565.parquet'
|
192 |
+
- config_name: harness_hellaswag_10
|
193 |
+
data_files:
|
194 |
+
- split: 2023_08_17T15_06_33.773565
|
195 |
+
path:
|
196 |
+
- '**/details_harness|hellaswag|10_2023-08-17T15:06:33.773565.parquet'
|
197 |
+
- split: latest
|
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+
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T15:06:33.773565.parquet'
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- '**/details_harness|hendrycksTest-college_mathematics|5_2023-08-17T15:06:33.773565.parquet'
|
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- config_name: harness_hendrycksTest_college_medicine_5
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|
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- '**/details_harness|hendrycksTest-college_medicine|5_2023-08-17T15:06:33.773565.parquet'
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- split: latest
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
531 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
560 |
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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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|
569 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
671 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2023-08-17T15:06:33.773565.parquet'
|
672 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
673 |
+
data_files:
|
674 |
+
- split: 2023_08_17T15_06_33.773565
|
675 |
+
path:
|
676 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T15:06:33.773565.parquet'
|
677 |
+
- split: latest
|
678 |
+
path:
|
679 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2023-08-17T15:06:33.773565.parquet'
|
680 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
681 |
+
data_files:
|
682 |
+
- split: 2023_08_17T15_06_33.773565
|
683 |
+
path:
|
684 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T15:06:33.773565.parquet'
|
685 |
+
- split: latest
|
686 |
+
path:
|
687 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2023-08-17T15:06:33.773565.parquet'
|
688 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
689 |
+
data_files:
|
690 |
+
- split: 2023_08_17T15_06_33.773565
|
691 |
+
path:
|
692 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T15:06:33.773565.parquet'
|
693 |
+
- split: latest
|
694 |
+
path:
|
695 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2023-08-17T15:06:33.773565.parquet'
|
696 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
697 |
+
data_files:
|
698 |
+
- split: 2023_08_17T15_06_33.773565
|
699 |
+
path:
|
700 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T15:06:33.773565.parquet'
|
701 |
+
- split: latest
|
702 |
+
path:
|
703 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2023-08-17T15:06:33.773565.parquet'
|
704 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
705 |
+
data_files:
|
706 |
+
- split: 2023_08_17T15_06_33.773565
|
707 |
+
path:
|
708 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T15:06:33.773565.parquet'
|
709 |
+
- split: latest
|
710 |
+
path:
|
711 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2023-08-17T15:06:33.773565.parquet'
|
712 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
713 |
+
data_files:
|
714 |
+
- split: 2023_08_17T15_06_33.773565
|
715 |
+
path:
|
716 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T15:06:33.773565.parquet'
|
717 |
+
- split: latest
|
718 |
+
path:
|
719 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2023-08-17T15:06:33.773565.parquet'
|
720 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
721 |
+
data_files:
|
722 |
+
- split: 2023_08_17T15_06_33.773565
|
723 |
+
path:
|
724 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T15:06:33.773565.parquet'
|
725 |
+
- split: latest
|
726 |
+
path:
|
727 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2023-08-17T15:06:33.773565.parquet'
|
728 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
729 |
+
data_files:
|
730 |
+
- split: 2023_08_17T15_06_33.773565
|
731 |
+
path:
|
732 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T15:06:33.773565.parquet'
|
733 |
+
- split: latest
|
734 |
+
path:
|
735 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2023-08-17T15:06:33.773565.parquet'
|
736 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
737 |
+
data_files:
|
738 |
+
- split: 2023_08_17T15_06_33.773565
|
739 |
+
path:
|
740 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T15:06:33.773565.parquet'
|
741 |
+
- split: latest
|
742 |
+
path:
|
743 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2023-08-17T15:06:33.773565.parquet'
|
744 |
+
- config_name: harness_hendrycksTest_sociology_5
|
745 |
+
data_files:
|
746 |
+
- split: 2023_08_17T15_06_33.773565
|
747 |
+
path:
|
748 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-08-17T15:06:33.773565.parquet'
|
749 |
+
- split: latest
|
750 |
+
path:
|
751 |
+
- '**/details_harness|hendrycksTest-sociology|5_2023-08-17T15:06:33.773565.parquet'
|
752 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
753 |
+
data_files:
|
754 |
+
- split: 2023_08_17T15_06_33.773565
|
755 |
+
path:
|
756 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T15:06:33.773565.parquet'
|
757 |
+
- split: latest
|
758 |
+
path:
|
759 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2023-08-17T15:06:33.773565.parquet'
|
760 |
+
- config_name: harness_hendrycksTest_virology_5
|
761 |
+
data_files:
|
762 |
+
- split: 2023_08_17T15_06_33.773565
|
763 |
+
path:
|
764 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-08-17T15:06:33.773565.parquet'
|
765 |
+
- split: latest
|
766 |
+
path:
|
767 |
+
- '**/details_harness|hendrycksTest-virology|5_2023-08-17T15:06:33.773565.parquet'
|
768 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
769 |
+
data_files:
|
770 |
+
- split: 2023_08_17T15_06_33.773565
|
771 |
+
path:
|
772 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T15:06:33.773565.parquet'
|
773 |
+
- split: latest
|
774 |
+
path:
|
775 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2023-08-17T15:06:33.773565.parquet'
|
776 |
+
- config_name: harness_truthfulqa_mc_0
|
777 |
+
data_files:
|
778 |
+
- split: 2023_08_17T15_06_33.773565
|
779 |
+
path:
|
780 |
+
- '**/details_harness|truthfulqa:mc|0_2023-08-17T15:06:33.773565.parquet'
|
781 |
+
- split: latest
|
782 |
+
path:
|
783 |
+
- '**/details_harness|truthfulqa:mc|0_2023-08-17T15:06:33.773565.parquet'
|
784 |
+
- config_name: results
|
785 |
+
data_files:
|
786 |
+
- split: 2023_08_17T15_06_33.773565.parquet
|
787 |
+
path:
|
788 |
+
- results_2023-08-17T15:06:33.773565.parquet
|
789 |
+
- split: latest
|
790 |
+
path:
|
791 |
+
- results_2023-08-17T15:06:33.773565.parquet
|
792 |
+
---
|
793 |
+
|
794 |
+
# Dataset Card for Evaluation run of yihan6324/llama2-13b-instructmining-40k-sharegpt
|
795 |
+
|
796 |
+
## Dataset Description
|
797 |
+
|
798 |
+
- **Homepage:**
|
799 |
+
- **Repository:** https://huggingface.co/yihan6324/llama2-13b-instructmining-40k-sharegpt
|
800 |
+
- **Paper:**
|
801 |
+
- **Leaderboard:** https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
802 |
+
- **Point of Contact:** clementine@hf.co
|
803 |
+
|
804 |
+
### Dataset Summary
|
805 |
+
|
806 |
+
Dataset automatically created during the evaluation run of model [yihan6324/llama2-13b-instructmining-40k-sharegpt](https://huggingface.co/yihan6324/llama2-13b-instructmining-40k-sharegpt) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
807 |
+
|
808 |
+
The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task.
|
809 |
+
|
810 |
+
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.
|
811 |
+
|
812 |
+
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)).
|
813 |
+
|
814 |
+
To load the details from a run, you can for instance do the following:
|
815 |
+
```python
|
816 |
+
from datasets import load_dataset
|
817 |
+
data = load_dataset("open-llm-leaderboard/details_yihan6324__llama2-13b-instructmining-40k-sharegpt",
|
818 |
+
"harness_truthfulqa_mc_0",
|
819 |
+
split="train")
|
820 |
+
```
|
821 |
+
|
822 |
+
## Latest results
|
823 |
+
|
824 |
+
These are the [latest results from run 2023-08-17T15:06:33.773565](https://huggingface.co/datasets/open-llm-leaderboard/details_yihan6324__llama2-13b-instructmining-40k-sharegpt/blob/main/results_2023-08-17T15%3A06%3A33.773565.json):
|
825 |
+
|
826 |
+
```python
|
827 |
+
{
|
828 |
+
"all": {
|
829 |
+
"acc": 0.5659221179678169,
|
830 |
+
"acc_stderr": 0.03435610194042996,
|
831 |
+
"acc_norm": 0.5698526105353496,
|
832 |
+
"acc_norm_stderr": 0.03433517528186645,
|
833 |
+
"mc1": 0.35862913096695226,
|
834 |
+
"mc1_stderr": 0.016789289499502022,
|
835 |
+
"mc2": 0.5244082340441981,
|
836 |
+
"mc2_stderr": 0.015623466277080963
|
837 |
+
},
|
838 |
+
"harness|arc:challenge|25": {
|
839 |
+
"acc": 0.5656996587030717,
|
840 |
+
"acc_stderr": 0.01448470304885736,
|
841 |
+
"acc_norm": 0.5998293515358362,
|
842 |
+
"acc_norm_stderr": 0.014317197787809169
|
843 |
+
},
|
844 |
+
"harness|hellaswag|10": {
|
845 |
+
"acc": 0.6328420633339972,
|
846 |
+
"acc_stderr": 0.004810449343572395,
|
847 |
+
"acc_norm": 0.8306114319856602,
|
848 |
+
"acc_norm_stderr": 0.003743281749373634
|
849 |
+
},
|
850 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
851 |
+
"acc": 0.35,
|
852 |
+
"acc_stderr": 0.0479372485441102,
|
853 |
+
"acc_norm": 0.35,
|
854 |
+
"acc_norm_stderr": 0.0479372485441102
|
855 |
+
},
|
856 |
+
"harness|hendrycksTest-anatomy|5": {
|
857 |
+
"acc": 0.48148148148148145,
|
858 |
+
"acc_stderr": 0.043163785995113245,
|
859 |
+
"acc_norm": 0.48148148148148145,
|
860 |
+
"acc_norm_stderr": 0.043163785995113245
|
861 |
+
},
|
862 |
+
"harness|hendrycksTest-astronomy|5": {
|
863 |
+
"acc": 0.625,
|
864 |
+
"acc_stderr": 0.039397364351956274,
|
865 |
+
"acc_norm": 0.625,
|
866 |
+
"acc_norm_stderr": 0.039397364351956274
|
867 |
+
},
|
868 |
+
"harness|hendrycksTest-business_ethics|5": {
|
869 |
+
"acc": 0.59,
|
870 |
+
"acc_stderr": 0.049431107042371025,
|
871 |
+
"acc_norm": 0.59,
|
872 |
+
"acc_norm_stderr": 0.049431107042371025
|
873 |
+
},
|
874 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
875 |
+
"acc": 0.6150943396226415,
|
876 |
+
"acc_stderr": 0.02994649856769995,
|
877 |
+
"acc_norm": 0.6150943396226415,
|
878 |
+
"acc_norm_stderr": 0.02994649856769995
|
879 |
+
},
|
880 |
+
"harness|hendrycksTest-college_biology|5": {
|
881 |
+
"acc": 0.6111111111111112,
|
882 |
+
"acc_stderr": 0.04076663253918567,
|
883 |
+
"acc_norm": 0.6111111111111112,
|
884 |
+
"acc_norm_stderr": 0.04076663253918567
|
885 |
+
},
|
886 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
887 |
+
"acc": 0.41,
|
888 |
+
"acc_stderr": 0.04943110704237102,
|
889 |
+
"acc_norm": 0.41,
|
890 |
+
"acc_norm_stderr": 0.04943110704237102
|
891 |
+
},
|
892 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
893 |
+
"acc": 0.47,
|
894 |
+
"acc_stderr": 0.05016135580465919,
|
895 |
+
"acc_norm": 0.47,
|
896 |
+
"acc_norm_stderr": 0.05016135580465919
|
897 |
+
},
|
898 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
899 |
+
"acc": 0.37,
|
900 |
+
"acc_stderr": 0.048523658709391,
|
901 |
+
"acc_norm": 0.37,
|
902 |
+
"acc_norm_stderr": 0.048523658709391
|
903 |
+
},
|
904 |
+
"harness|hendrycksTest-college_medicine|5": {
|
905 |
+
"acc": 0.5895953757225434,
|
906 |
+
"acc_stderr": 0.03750757044895537,
|
907 |
+
"acc_norm": 0.5895953757225434,
|
908 |
+
"acc_norm_stderr": 0.03750757044895537
|
909 |
+
},
|
910 |
+
"harness|hendrycksTest-college_physics|5": {
|
911 |
+
"acc": 0.3431372549019608,
|
912 |
+
"acc_stderr": 0.04724007352383887,
|
913 |
+
"acc_norm": 0.3431372549019608,
|
914 |
+
"acc_norm_stderr": 0.04724007352383887
|
915 |
+
},
|
916 |
+
"harness|hendrycksTest-computer_security|5": {
|
917 |
+
"acc": 0.71,
|
918 |
+
"acc_stderr": 0.045604802157206845,
|
919 |
+
"acc_norm": 0.71,
|
920 |
+
"acc_norm_stderr": 0.045604802157206845
|
921 |
+
},
|
922 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
923 |
+
"acc": 0.4595744680851064,
|
924 |
+
"acc_stderr": 0.03257901482099835,
|
925 |
+
"acc_norm": 0.4595744680851064,
|
926 |
+
"acc_norm_stderr": 0.03257901482099835
|
927 |
+
},
|
928 |
+
"harness|hendrycksTest-econometrics|5": {
|
929 |
+
"acc": 0.23684210526315788,
|
930 |
+
"acc_stderr": 0.039994238792813344,
|
931 |
+
"acc_norm": 0.23684210526315788,
|
932 |
+
"acc_norm_stderr": 0.039994238792813344
|
933 |
+
},
|
934 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
935 |
+
"acc": 0.503448275862069,
|
936 |
+
"acc_stderr": 0.04166567577101579,
|
937 |
+
"acc_norm": 0.503448275862069,
|
938 |
+
"acc_norm_stderr": 0.04166567577101579
|
939 |
+
},
|
940 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
941 |
+
"acc": 0.29365079365079366,
|
942 |
+
"acc_stderr": 0.023456037383982026,
|
943 |
+
"acc_norm": 0.29365079365079366,
|
944 |
+
"acc_norm_stderr": 0.023456037383982026
|
945 |
+
},
|
946 |
+
"harness|hendrycksTest-formal_logic|5": {
|
947 |
+
"acc": 0.36507936507936506,
|
948 |
+
"acc_stderr": 0.04306241259127153,
|
949 |
+
"acc_norm": 0.36507936507936506,
|
950 |
+
"acc_norm_stderr": 0.04306241259127153
|
951 |
+
},
|
952 |
+
"harness|hendrycksTest-global_facts|5": {
|
953 |
+
"acc": 0.35,
|
954 |
+
"acc_stderr": 0.047937248544110196,
|
955 |
+
"acc_norm": 0.35,
|
956 |
+
"acc_norm_stderr": 0.047937248544110196
|
957 |
+
},
|
958 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
959 |
+
"acc": 0.6709677419354839,
|
960 |
+
"acc_stderr": 0.026729499068349958,
|
961 |
+
"acc_norm": 0.6709677419354839,
|
962 |
+
"acc_norm_stderr": 0.026729499068349958
|
963 |
+
},
|
964 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
965 |
+
"acc": 0.45320197044334976,
|
966 |
+
"acc_stderr": 0.03502544650845872,
|
967 |
+
"acc_norm": 0.45320197044334976,
|
968 |
+
"acc_norm_stderr": 0.03502544650845872
|
969 |
+
},
|
970 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
971 |
+
"acc": 0.56,
|
972 |
+
"acc_stderr": 0.049888765156985884,
|
973 |
+
"acc_norm": 0.56,
|
974 |
+
"acc_norm_stderr": 0.049888765156985884
|
975 |
+
},
|
976 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
977 |
+
"acc": 0.6787878787878788,
|
978 |
+
"acc_stderr": 0.0364620496325381,
|
979 |
+
"acc_norm": 0.6787878787878788,
|
980 |
+
"acc_norm_stderr": 0.0364620496325381
|
981 |
+
},
|
982 |
+
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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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1101 |
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1102 |
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"harness|hendrycksTest-moral_disputes|5": {
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"harness|hendrycksTest-moral_scenarios|5": {
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1113 |
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},
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"harness|hendrycksTest-nutrition|5": {
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1119 |
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},
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1120 |
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"harness|hendrycksTest-philosophy|5": {
|
1121 |
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1122 |
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1123 |
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1125 |
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},
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1126 |
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"harness|hendrycksTest-prehistory|5": {
|
1127 |
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1128 |
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1130 |
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1131 |
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},
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1132 |
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"harness|hendrycksTest-professional_accounting|5": {
|
1133 |
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1134 |
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1137 |
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"harness|hendrycksTest-professional_law|5": {
|
1139 |
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1140 |
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1143 |
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"harness|hendrycksTest-professional_medicine|5": {
|
1145 |
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1149 |
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"harness|hendrycksTest-professional_psychology|5": {
|
1151 |
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1155 |
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1156 |
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"harness|hendrycksTest-public_relations|5": {
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1161 |
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},
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1162 |
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"harness|hendrycksTest-security_studies|5": {
|
1163 |
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1164 |
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1167 |
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1168 |
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"harness|hendrycksTest-sociology|5": {
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1169 |
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1173 |
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},
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1174 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1175 |
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1176 |
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1177 |
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1179 |
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1180 |
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"harness|hendrycksTest-virology|5": {
|
1181 |
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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-world_religions|5": {
|
1187 |
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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|truthfulqa:mc|0": {
|
1193 |
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|
1194 |
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1195 |
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"mc2": 0.5244082340441981,
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1196 |
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|
1197 |
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}
|
1198 |
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}
|
1199 |
+
```
|
1200 |
+
|
1201 |
+
### Supported Tasks and Leaderboards
|
1202 |
+
|
1203 |
+
[More Information Needed]
|
1204 |
+
|
1205 |
+
### Languages
|
1206 |
+
|
1207 |
+
[More Information Needed]
|
1208 |
+
|
1209 |
+
## Dataset Structure
|
1210 |
+
|
1211 |
+
### Data Instances
|
1212 |
+
|
1213 |
+
[More Information Needed]
|
1214 |
+
|
1215 |
+
### Data Fields
|
1216 |
+
|
1217 |
+
[More Information Needed]
|
1218 |
+
|
1219 |
+
### Data Splits
|
1220 |
+
|
1221 |
+
[More Information Needed]
|
1222 |
+
|
1223 |
+
## Dataset Creation
|
1224 |
+
|
1225 |
+
### Curation Rationale
|
1226 |
+
|
1227 |
+
[More Information Needed]
|
1228 |
+
|
1229 |
+
### Source Data
|
1230 |
+
|
1231 |
+
#### Initial Data Collection and Normalization
|
1232 |
+
|
1233 |
+
[More Information Needed]
|
1234 |
+
|
1235 |
+
#### Who are the source language producers?
|
1236 |
+
|
1237 |
+
[More Information Needed]
|
1238 |
+
|
1239 |
+
### Annotations
|
1240 |
+
|
1241 |
+
#### Annotation process
|
1242 |
+
|
1243 |
+
[More Information Needed]
|
1244 |
+
|
1245 |
+
#### Who are the annotators?
|
1246 |
+
|
1247 |
+
[More Information Needed]
|
1248 |
+
|
1249 |
+
### Personal and Sensitive Information
|
1250 |
+
|
1251 |
+
[More Information Needed]
|
1252 |
+
|
1253 |
+
## Considerations for Using the Data
|
1254 |
+
|
1255 |
+
### Social Impact of Dataset
|
1256 |
+
|
1257 |
+
[More Information Needed]
|
1258 |
+
|
1259 |
+
### Discussion of Biases
|
1260 |
+
|
1261 |
+
[More Information Needed]
|
1262 |
+
|
1263 |
+
### Other Known Limitations
|
1264 |
+
|
1265 |
+
[More Information Needed]
|
1266 |
+
|
1267 |
+
## Additional Information
|
1268 |
+
|
1269 |
+
### Dataset Curators
|
1270 |
+
|
1271 |
+
[More Information Needed]
|
1272 |
+
|
1273 |
+
### Licensing Information
|
1274 |
+
|
1275 |
+
[More Information Needed]
|
1276 |
+
|
1277 |
+
### Citation Information
|
1278 |
+
|
1279 |
+
[More Information Needed]
|
1280 |
+
|
1281 |
+
### Contributions
|
1282 |
+
|
1283 |
+
[More Information Needed]
|