open-llm-bot
commited on
Commit
•
d359cf1
1
Parent(s):
09cfa9f
Upload README.md with huggingface_hub
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README.md
ADDED
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+
---
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pretty_name: Evaluation run of TomGrc/FusionNet_passthrough
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+
dataset_summary: "Dataset automatically created during the evaluation run of model\
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+
\ [TomGrc/FusionNet_passthrough](https://huggingface.co/TomGrc/FusionNet_passthrough)\
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\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
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+
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
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+
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
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+
\ found as a specific split in each configuration, the split being named using the\
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+
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
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+
\nAn additional configuration \"results\" store all the aggregated results of the\
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\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
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+
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
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+
\nTo load the details from a run, you can for instance do the following:\n```python\n\
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from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_TomGrc__FusionNet_passthrough\"\
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,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
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These are the [latest results from run 2024-01-05T01:54:51.474354](https://huggingface.co/datasets/open-llm-leaderboard/details_TomGrc__FusionNet_passthrough/blob/main/results_2024-01-05T01-54-51.474354.json)(note\
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+
\ that their might be results for other tasks in the repos if successive evals didn't\
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+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
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19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6481855915423794,\n\
|
20 |
+
\ \"acc_stderr\": 0.03172482128149227,\n \"acc_norm\": 0.6573137295108836,\n\
|
21 |
+
\ \"acc_norm_stderr\": 0.032378144966385074,\n \"mc1\": 0.5006119951040392,\n\
|
22 |
+
\ \"mc1_stderr\": 0.01750348793889251,\n \"mc2\": 0.676536094142442,\n\
|
23 |
+
\ \"mc2_stderr\": 0.015240273828603672\n },\n \"harness|arc:challenge|25\"\
|
24 |
+
: {\n \"acc\": 0.6331058020477816,\n \"acc_stderr\": 0.014084133118104298,\n\
|
25 |
+
\ \"acc_norm\": 0.6945392491467577,\n \"acc_norm_stderr\": 0.013460080478002508\n\
|
26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6409081856203943,\n\
|
27 |
+
\ \"acc_stderr\": 0.004787537385153,\n \"acc_norm\": 0.8772156940848437,\n\
|
28 |
+
\ \"acc_norm_stderr\": 0.003275187310785843\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
29 |
+
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.04793724854411021,\n \
|
30 |
+
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.04793724854411021\n \
|
31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6,\n \
|
32 |
+
\ \"acc_stderr\": 0.042320736951515885,\n \"acc_norm\": 0.6,\n \"\
|
33 |
+
acc_norm_stderr\": 0.042320736951515885\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
34 |
+
: {\n \"acc\": 0.75,\n \"acc_stderr\": 0.03523807393012047,\n \
|
35 |
+
\ \"acc_norm\": 0.75,\n \"acc_norm_stderr\": 0.03523807393012047\n \
|
36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.73,\n\
|
37 |
+
\ \"acc_stderr\": 0.0446196043338474,\n \"acc_norm\": 0.73,\n \
|
38 |
+
\ \"acc_norm_stderr\": 0.0446196043338474\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
39 |
+
: {\n \"acc\": 0.6830188679245283,\n \"acc_stderr\": 0.028637235639800893,\n\
|
40 |
+
\ \"acc_norm\": 0.6830188679245283,\n \"acc_norm_stderr\": 0.028637235639800893\n\
|
41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.75,\n\
|
42 |
+
\ \"acc_stderr\": 0.03621034121889507,\n \"acc_norm\": 0.75,\n \
|
43 |
+
\ \"acc_norm_stderr\": 0.03621034121889507\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
44 |
+
: {\n \"acc\": 0.42,\n \"acc_stderr\": 0.049604496374885836,\n \
|
45 |
+
\ \"acc_norm\": 0.42,\n \"acc_norm_stderr\": 0.049604496374885836\n \
|
46 |
+
\ },\n \"harness|hendrycksTest-college_computer_science|5\": {\n \"\
|
47 |
+
acc\": 0.49,\n \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\"\
|
48 |
+
: 0.49,\n \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\
|
49 |
+
: {\n \"acc\": 0.31,\n \"acc_stderr\": 0.04648231987117316,\n \
|
50 |
+
\ \"acc_norm\": 0.31,\n \"acc_norm_stderr\": 0.04648231987117316\n \
|
51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.6763005780346821,\n\
|
52 |
+
\ \"acc_stderr\": 0.03567603799639171,\n \"acc_norm\": 0.6763005780346821,\n\
|
53 |
+
\ \"acc_norm_stderr\": 0.03567603799639171\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
54 |
+
: {\n \"acc\": 0.3627450980392157,\n \"acc_stderr\": 0.047840607041056527,\n\
|
55 |
+
\ \"acc_norm\": 0.3627450980392157,\n \"acc_norm_stderr\": 0.047840607041056527\n\
|
56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
57 |
+
\ 0.78,\n \"acc_stderr\": 0.04163331998932261,\n \"acc_norm\": 0.78,\n\
|
58 |
+
\ \"acc_norm_stderr\": 0.04163331998932261\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
59 |
+
: {\n \"acc\": 0.6,\n \"acc_stderr\": 0.03202563076101735,\n \
|
60 |
+
\ \"acc_norm\": 0.6,\n \"acc_norm_stderr\": 0.03202563076101735\n },\n\
|
61 |
+
\ \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.49122807017543857,\n\
|
62 |
+
\ \"acc_stderr\": 0.04702880432049615,\n \"acc_norm\": 0.49122807017543857,\n\
|
63 |
+
\ \"acc_norm_stderr\": 0.04702880432049615\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
64 |
+
: {\n \"acc\": 0.5862068965517241,\n \"acc_stderr\": 0.04104269211806232,\n\
|
65 |
+
\ \"acc_norm\": 0.5862068965517241,\n \"acc_norm_stderr\": 0.04104269211806232\n\
|
66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
67 |
+
: 0.49206349206349204,\n \"acc_stderr\": 0.02574806587167328,\n \"\
|
68 |
+
acc_norm\": 0.49206349206349204,\n \"acc_norm_stderr\": 0.02574806587167328\n\
|
69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4365079365079365,\n\
|
70 |
+
\ \"acc_stderr\": 0.04435932892851466,\n \"acc_norm\": 0.4365079365079365,\n\
|
71 |
+
\ \"acc_norm_stderr\": 0.04435932892851466\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
72 |
+
: {\n \"acc\": 0.38,\n \"acc_stderr\": 0.04878317312145632,\n \
|
73 |
+
\ \"acc_norm\": 0.38,\n \"acc_norm_stderr\": 0.04878317312145632\n \
|
74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7806451612903226,\n\
|
75 |
+
\ \"acc_stderr\": 0.02354079935872329,\n \"acc_norm\": 0.7806451612903226,\n\
|
76 |
+
\ \"acc_norm_stderr\": 0.02354079935872329\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
77 |
+
: {\n \"acc\": 0.46798029556650245,\n \"acc_stderr\": 0.03510766597959217,\n\
|
78 |
+
\ \"acc_norm\": 0.46798029556650245,\n \"acc_norm_stderr\": 0.03510766597959217\n\
|
79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
80 |
+
\ \"acc\": 0.69,\n \"acc_stderr\": 0.04648231987117316,\n \"acc_norm\"\
|
81 |
+
: 0.69,\n \"acc_norm_stderr\": 0.04648231987117316\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
82 |
+
: {\n \"acc\": 0.8121212121212121,\n \"acc_stderr\": 0.03050193405942914,\n\
|
83 |
+
\ \"acc_norm\": 0.8121212121212121,\n \"acc_norm_stderr\": 0.03050193405942914\n\
|
84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
85 |
+
: 0.8585858585858586,\n \"acc_stderr\": 0.024825909793343343,\n \"\
|
86 |
+
acc_norm\": 0.8585858585858586,\n \"acc_norm_stderr\": 0.024825909793343343\n\
|
87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
88 |
+
\ \"acc\": 0.8963730569948186,\n \"acc_stderr\": 0.021995311963644244,\n\
|
89 |
+
\ \"acc_norm\": 0.8963730569948186,\n \"acc_norm_stderr\": 0.021995311963644244\n\
|
90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
91 |
+
\ \"acc\": 0.6461538461538462,\n \"acc_stderr\": 0.02424378399406217,\n \
|
92 |
+
\ \"acc_norm\": 0.6461538461538462,\n \"acc_norm_stderr\": 0.02424378399406217\n\
|
93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
94 |
+
acc\": 0.32592592592592595,\n \"acc_stderr\": 0.028578348365473082,\n \
|
95 |
+
\ \"acc_norm\": 0.32592592592592595,\n \"acc_norm_stderr\": 0.028578348365473082\n\
|
96 |
+
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \
|
97 |
+
\ \"acc\": 0.6890756302521008,\n \"acc_stderr\": 0.03006676158297794,\n \
|
98 |
+
\ \"acc_norm\": 0.6890756302521008,\n \"acc_norm_stderr\": 0.03006676158297794\n\
|
99 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
100 |
+
: 0.39072847682119205,\n \"acc_stderr\": 0.03983798306659807,\n \"\
|
101 |
+
acc_norm\": 0.39072847682119205,\n \"acc_norm_stderr\": 0.03983798306659807\n\
|
102 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
103 |
+
: 0.8293577981651377,\n \"acc_stderr\": 0.016129271025099843,\n \"\
|
104 |
+
acc_norm\": 0.8293577981651377,\n \"acc_norm_stderr\": 0.016129271025099843\n\
|
105 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
106 |
+
: 0.5555555555555556,\n \"acc_stderr\": 0.033888571185023246,\n \"\
|
107 |
+
acc_norm\": 0.5555555555555556,\n \"acc_norm_stderr\": 0.033888571185023246\n\
|
108 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
109 |
+
: 0.8431372549019608,\n \"acc_stderr\": 0.02552472232455334,\n \"\
|
110 |
+
acc_norm\": 0.8431372549019608,\n \"acc_norm_stderr\": 0.02552472232455334\n\
|
111 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
112 |
+
acc\": 0.8523206751054853,\n \"acc_stderr\": 0.0230943295825957,\n \
|
113 |
+
\ \"acc_norm\": 0.8523206751054853,\n \"acc_norm_stderr\": 0.0230943295825957\n\
|
114 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6591928251121076,\n\
|
115 |
+
\ \"acc_stderr\": 0.0318114974705536,\n \"acc_norm\": 0.6591928251121076,\n\
|
116 |
+
\ \"acc_norm_stderr\": 0.0318114974705536\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
117 |
+
: {\n \"acc\": 0.7404580152671756,\n \"acc_stderr\": 0.03844876139785271,\n\
|
118 |
+
\ \"acc_norm\": 0.7404580152671756,\n \"acc_norm_stderr\": 0.03844876139785271\n\
|
119 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
120 |
+
\ 0.8181818181818182,\n \"acc_stderr\": 0.03520893951097653,\n \"\
|
121 |
+
acc_norm\": 0.8181818181818182,\n \"acc_norm_stderr\": 0.03520893951097653\n\
|
122 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\
|
123 |
+
\ \"acc_stderr\": 0.039578354719809805,\n \"acc_norm\": 0.7870370370370371,\n\
|
124 |
+
\ \"acc_norm_stderr\": 0.039578354719809805\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
125 |
+
: {\n \"acc\": 0.7484662576687117,\n \"acc_stderr\": 0.03408997886857529,\n\
|
126 |
+
\ \"acc_norm\": 0.7484662576687117,\n \"acc_norm_stderr\": 0.03408997886857529\n\
|
127 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4732142857142857,\n\
|
128 |
+
\ \"acc_stderr\": 0.047389751192741546,\n \"acc_norm\": 0.4732142857142857,\n\
|
129 |
+
\ \"acc_norm_stderr\": 0.047389751192741546\n },\n \"harness|hendrycksTest-management|5\"\
|
130 |
+
: {\n \"acc\": 0.8252427184466019,\n \"acc_stderr\": 0.03760178006026621,\n\
|
131 |
+
\ \"acc_norm\": 0.8252427184466019,\n \"acc_norm_stderr\": 0.03760178006026621\n\
|
132 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8803418803418803,\n\
|
133 |
+
\ \"acc_stderr\": 0.02126271940040697,\n \"acc_norm\": 0.8803418803418803,\n\
|
134 |
+
\ \"acc_norm_stderr\": 0.02126271940040697\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
135 |
+
: {\n \"acc\": 0.73,\n \"acc_stderr\": 0.044619604333847394,\n \
|
136 |
+
\ \"acc_norm\": 0.73,\n \"acc_norm_stderr\": 0.044619604333847394\n \
|
137 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8122605363984674,\n\
|
138 |
+
\ \"acc_stderr\": 0.013964393769899133,\n \"acc_norm\": 0.8122605363984674,\n\
|
139 |
+
\ \"acc_norm_stderr\": 0.013964393769899133\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
140 |
+
: {\n \"acc\": 0.7283236994219653,\n \"acc_stderr\": 0.023948512905468348,\n\
|
141 |
+
\ \"acc_norm\": 0.7283236994219653,\n \"acc_norm_stderr\": 0.023948512905468348\n\
|
142 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.3139664804469274,\n\
|
143 |
+
\ \"acc_stderr\": 0.015521923933523633,\n \"acc_norm\": 0.3139664804469274,\n\
|
144 |
+
\ \"acc_norm_stderr\": 0.015521923933523633\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
145 |
+
: {\n \"acc\": 0.7352941176470589,\n \"acc_stderr\": 0.025261691219729484,\n\
|
146 |
+
\ \"acc_norm\": 0.7352941176470589,\n \"acc_norm_stderr\": 0.025261691219729484\n\
|
147 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6977491961414791,\n\
|
148 |
+
\ \"acc_stderr\": 0.026082700695399672,\n \"acc_norm\": 0.6977491961414791,\n\
|
149 |
+
\ \"acc_norm_stderr\": 0.026082700695399672\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
150 |
+
: {\n \"acc\": 0.7746913580246914,\n \"acc_stderr\": 0.02324620264781975,\n\
|
151 |
+
\ \"acc_norm\": 0.7746913580246914,\n \"acc_norm_stderr\": 0.02324620264781975\n\
|
152 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
153 |
+
acc\": 0.4929078014184397,\n \"acc_stderr\": 0.02982449855912901,\n \
|
154 |
+
\ \"acc_norm\": 0.4929078014184397,\n \"acc_norm_stderr\": 0.02982449855912901\n\
|
155 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4810951760104302,\n\
|
156 |
+
\ \"acc_stderr\": 0.012761104871472652,\n \"acc_norm\": 0.4810951760104302,\n\
|
157 |
+
\ \"acc_norm_stderr\": 0.012761104871472652\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
158 |
+
: {\n \"acc\": 0.7573529411764706,\n \"acc_stderr\": 0.02604066247420126,\n\
|
159 |
+
\ \"acc_norm\": 0.7573529411764706,\n \"acc_norm_stderr\": 0.02604066247420126\n\
|
160 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
161 |
+
acc\": 0.6813725490196079,\n \"acc_stderr\": 0.01885008469646872,\n \
|
162 |
+
\ \"acc_norm\": 0.6813725490196079,\n \"acc_norm_stderr\": 0.01885008469646872\n\
|
163 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\
|
164 |
+
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\
|
165 |
+
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
166 |
+
: {\n \"acc\": 0.7387755102040816,\n \"acc_stderr\": 0.02812342933514278,\n\
|
167 |
+
\ \"acc_norm\": 0.7387755102040816,\n \"acc_norm_stderr\": 0.02812342933514278\n\
|
168 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.835820895522388,\n\
|
169 |
+
\ \"acc_stderr\": 0.026193923544454125,\n \"acc_norm\": 0.835820895522388,\n\
|
170 |
+
\ \"acc_norm_stderr\": 0.026193923544454125\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
171 |
+
: {\n \"acc\": 0.89,\n \"acc_stderr\": 0.03144660377352203,\n \
|
172 |
+
\ \"acc_norm\": 0.89,\n \"acc_norm_stderr\": 0.03144660377352203\n \
|
173 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5963855421686747,\n\
|
174 |
+
\ \"acc_stderr\": 0.03819486140758398,\n \"acc_norm\": 0.5963855421686747,\n\
|
175 |
+
\ \"acc_norm_stderr\": 0.03819486140758398\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
176 |
+
: {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.029913127232368032,\n\
|
177 |
+
\ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.029913127232368032\n\
|
178 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.5006119951040392,\n\
|
179 |
+
\ \"mc1_stderr\": 0.01750348793889251,\n \"mc2\": 0.676536094142442,\n\
|
180 |
+
\ \"mc2_stderr\": 0.015240273828603672\n },\n \"harness|winogrande|5\"\
|
181 |
+
: {\n \"acc\": 0.8129439621152328,\n \"acc_stderr\": 0.010959716435242914\n\
|
182 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.24260803639120546,\n \
|
183 |
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\ \"acc_stderr\": 0.011807426004596862\n }\n}\n```"
|
184 |
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repo_url: https://huggingface.co/TomGrc/FusionNet_passthrough
|
185 |
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
186 |
+
point_of_contact: clementine@hf.co
|
187 |
+
configs:
|
188 |
+
- config_name: harness_arc_challenge_25
|
189 |
+
data_files:
|
190 |
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- split: 2024_01_05T01_54_51.474354
|
191 |
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path:
|
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- '**/details_harness|arc:challenge|25_2024-01-05T01-54-51.474354.parquet'
|
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|
194 |
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path:
|
195 |
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|
196 |
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|
197 |
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|
198 |
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- split: 2024_01_05T01_54_51.474354
|
199 |
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|
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- '**/details_harness|gsm8k|5_2024-01-05T01-54-51.474354.parquet'
|
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|
202 |
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|
203 |
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|
204 |
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|
205 |
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|
206 |
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|
207 |
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|
208 |
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- '**/details_harness|hellaswag|10_2024-01-05T01-54-51.474354.parquet'
|
209 |
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|
210 |
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path:
|
211 |
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- '**/details_harness|hellaswag|10_2024-01-05T01-54-51.474354.parquet'
|
212 |
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- config_name: harness_hendrycksTest_5
|
213 |
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|
214 |
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- split: 2024_01_05T01_54_51.474354
|
215 |
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|
216 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
320 |
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|
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|
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|
323 |
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|
324 |
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|
325 |
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|
326 |
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|
327 |
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|
328 |
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|
329 |
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|
330 |
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|
331 |
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|
332 |
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- config_name: harness_hendrycksTest_abstract_algebra_5
|
333 |
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data_files:
|
334 |
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- split: 2024_01_05T01_54_51.474354
|
335 |
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path:
|
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|
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|
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|
339 |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-01-05T01-54-51.474354.parquet'
|
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- config_name: harness_hendrycksTest_anatomy_5
|
341 |
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|
342 |
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- split: 2024_01_05T01_54_51.474354
|
343 |
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path:
|
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|
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- split: latest
|
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|
347 |
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|
348 |
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- config_name: harness_hendrycksTest_astronomy_5
|
349 |
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data_files:
|
350 |
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- split: 2024_01_05T01_54_51.474354
|
351 |
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path:
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|
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|
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|
355 |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-01-05T01-54-51.474354.parquet'
|
356 |
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- config_name: harness_hendrycksTest_business_ethics_5
|
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data_files:
|
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- split: 2024_01_05T01_54_51.474354
|
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|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-01-05T01-54-51.474354.parquet'
|
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- config_name: harness_hendrycksTest_clinical_knowledge_5
|
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|
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- split: 2024_01_05T01_54_51.474354
|
367 |
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|
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|
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- split: latest
|
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|
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|
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- config_name: harness_hendrycksTest_college_biology_5
|
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|
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- split: 2024_01_05T01_54_51.474354
|
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|
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|
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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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path:
|
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-54-51.474354.parquet'
|
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- split: latest
|
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path:
|
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-01-05T01-54-51.474354.parquet'
|
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- config_name: harness_hendrycksTest_college_computer_science_5
|
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data_files:
|
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|
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path:
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-01-05T01-54-51.474354.parquet'
|
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|
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|
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|
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- config_name: harness_hendrycksTest_college_mathematics_5
|
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|
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|
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path:
|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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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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|
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|
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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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|
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|
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|
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|
466 |
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|
467 |
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|
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|
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|
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|
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|
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|
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|
474 |
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|
475 |
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|
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|
477 |
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|
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|
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|
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|
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|
482 |
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|
483 |
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|
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|
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|
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|
487 |
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|
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|
489 |
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|
490 |
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|
491 |
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|
492 |
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|
493 |
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|
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|
495 |
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|
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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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|
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|
505 |
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|
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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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|
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|
513 |
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|
514 |
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|
515 |
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|
516 |
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|
517 |
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|
518 |
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|
519 |
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|
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|
521 |
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|
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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|
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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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|
545 |
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|
546 |
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|
547 |
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|
548 |
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|
549 |
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|
550 |
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|
551 |
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552 |
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|
553 |
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|
554 |
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|
555 |
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|
556 |
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|
557 |
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|
558 |
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|
559 |
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560 |
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|
561 |
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|
562 |
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|
563 |
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|
564 |
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|
565 |
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|
566 |
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|
567 |
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|
569 |
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|
570 |
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|
571 |
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|
572 |
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|
573 |
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|
574 |
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|
575 |
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|
577 |
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|
578 |
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|
579 |
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|
580 |
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|
581 |
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|
582 |
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|
583 |
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|
584 |
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|
585 |
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|
586 |
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|
587 |
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|
588 |
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|
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|
590 |
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|
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|
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|
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|
595 |
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|
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|
597 |
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|
598 |
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|
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|
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|
602 |
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|
603 |
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|
604 |
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|
605 |
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|
606 |
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|
607 |
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|
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|
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|
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|
611 |
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|
612 |
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|
613 |
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|
614 |
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|
615 |
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|
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|
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|
619 |
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|
620 |
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|
621 |
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|
622 |
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|
623 |
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|
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|
626 |
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|
627 |
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|
628 |
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|
629 |
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|
630 |
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|
631 |
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|
632 |
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|
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|
634 |
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|
635 |
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|
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|
637 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
651 |
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|
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|
653 |
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|
654 |
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|
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|
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|
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|
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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|
666 |
+
path:
|
667 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-01-05T01-54-51.474354.parquet'
|
668 |
+
- config_name: harness_hendrycksTest_moral_disputes_5
|
669 |
+
data_files:
|
670 |
+
- split: 2024_01_05T01_54_51.474354
|
671 |
+
path:
|
672 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-54-51.474354.parquet'
|
673 |
+
- split: latest
|
674 |
+
path:
|
675 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-01-05T01-54-51.474354.parquet'
|
676 |
+
- config_name: harness_hendrycksTest_moral_scenarios_5
|
677 |
+
data_files:
|
678 |
+
- split: 2024_01_05T01_54_51.474354
|
679 |
+
path:
|
680 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-54-51.474354.parquet'
|
681 |
+
- split: latest
|
682 |
+
path:
|
683 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-01-05T01-54-51.474354.parquet'
|
684 |
+
- config_name: harness_hendrycksTest_nutrition_5
|
685 |
+
data_files:
|
686 |
+
- split: 2024_01_05T01_54_51.474354
|
687 |
+
path:
|
688 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-54-51.474354.parquet'
|
689 |
+
- split: latest
|
690 |
+
path:
|
691 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-01-05T01-54-51.474354.parquet'
|
692 |
+
- config_name: harness_hendrycksTest_philosophy_5
|
693 |
+
data_files:
|
694 |
+
- split: 2024_01_05T01_54_51.474354
|
695 |
+
path:
|
696 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-54-51.474354.parquet'
|
697 |
+
- split: latest
|
698 |
+
path:
|
699 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-01-05T01-54-51.474354.parquet'
|
700 |
+
- config_name: harness_hendrycksTest_prehistory_5
|
701 |
+
data_files:
|
702 |
+
- split: 2024_01_05T01_54_51.474354
|
703 |
+
path:
|
704 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-54-51.474354.parquet'
|
705 |
+
- split: latest
|
706 |
+
path:
|
707 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-01-05T01-54-51.474354.parquet'
|
708 |
+
- config_name: harness_hendrycksTest_professional_accounting_5
|
709 |
+
data_files:
|
710 |
+
- split: 2024_01_05T01_54_51.474354
|
711 |
+
path:
|
712 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-54-51.474354.parquet'
|
713 |
+
- split: latest
|
714 |
+
path:
|
715 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-01-05T01-54-51.474354.parquet'
|
716 |
+
- config_name: harness_hendrycksTest_professional_law_5
|
717 |
+
data_files:
|
718 |
+
- split: 2024_01_05T01_54_51.474354
|
719 |
+
path:
|
720 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-54-51.474354.parquet'
|
721 |
+
- split: latest
|
722 |
+
path:
|
723 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-01-05T01-54-51.474354.parquet'
|
724 |
+
- config_name: harness_hendrycksTest_professional_medicine_5
|
725 |
+
data_files:
|
726 |
+
- split: 2024_01_05T01_54_51.474354
|
727 |
+
path:
|
728 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-54-51.474354.parquet'
|
729 |
+
- split: latest
|
730 |
+
path:
|
731 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-01-05T01-54-51.474354.parquet'
|
732 |
+
- config_name: harness_hendrycksTest_professional_psychology_5
|
733 |
+
data_files:
|
734 |
+
- split: 2024_01_05T01_54_51.474354
|
735 |
+
path:
|
736 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-54-51.474354.parquet'
|
737 |
+
- split: latest
|
738 |
+
path:
|
739 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-01-05T01-54-51.474354.parquet'
|
740 |
+
- config_name: harness_hendrycksTest_public_relations_5
|
741 |
+
data_files:
|
742 |
+
- split: 2024_01_05T01_54_51.474354
|
743 |
+
path:
|
744 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-54-51.474354.parquet'
|
745 |
+
- split: latest
|
746 |
+
path:
|
747 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-01-05T01-54-51.474354.parquet'
|
748 |
+
- config_name: harness_hendrycksTest_security_studies_5
|
749 |
+
data_files:
|
750 |
+
- split: 2024_01_05T01_54_51.474354
|
751 |
+
path:
|
752 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-54-51.474354.parquet'
|
753 |
+
- split: latest
|
754 |
+
path:
|
755 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-01-05T01-54-51.474354.parquet'
|
756 |
+
- config_name: harness_hendrycksTest_sociology_5
|
757 |
+
data_files:
|
758 |
+
- split: 2024_01_05T01_54_51.474354
|
759 |
+
path:
|
760 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-54-51.474354.parquet'
|
761 |
+
- split: latest
|
762 |
+
path:
|
763 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-01-05T01-54-51.474354.parquet'
|
764 |
+
- config_name: harness_hendrycksTest_us_foreign_policy_5
|
765 |
+
data_files:
|
766 |
+
- split: 2024_01_05T01_54_51.474354
|
767 |
+
path:
|
768 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-54-51.474354.parquet'
|
769 |
+
- split: latest
|
770 |
+
path:
|
771 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-01-05T01-54-51.474354.parquet'
|
772 |
+
- config_name: harness_hendrycksTest_virology_5
|
773 |
+
data_files:
|
774 |
+
- split: 2024_01_05T01_54_51.474354
|
775 |
+
path:
|
776 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-54-51.474354.parquet'
|
777 |
+
- split: latest
|
778 |
+
path:
|
779 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-01-05T01-54-51.474354.parquet'
|
780 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
781 |
+
data_files:
|
782 |
+
- split: 2024_01_05T01_54_51.474354
|
783 |
+
path:
|
784 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-54-51.474354.parquet'
|
785 |
+
- split: latest
|
786 |
+
path:
|
787 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-01-05T01-54-51.474354.parquet'
|
788 |
+
- config_name: harness_truthfulqa_mc_0
|
789 |
+
data_files:
|
790 |
+
- split: 2024_01_05T01_54_51.474354
|
791 |
+
path:
|
792 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T01-54-51.474354.parquet'
|
793 |
+
- split: latest
|
794 |
+
path:
|
795 |
+
- '**/details_harness|truthfulqa:mc|0_2024-01-05T01-54-51.474354.parquet'
|
796 |
+
- config_name: harness_winogrande_5
|
797 |
+
data_files:
|
798 |
+
- split: 2024_01_05T01_54_51.474354
|
799 |
+
path:
|
800 |
+
- '**/details_harness|winogrande|5_2024-01-05T01-54-51.474354.parquet'
|
801 |
+
- split: latest
|
802 |
+
path:
|
803 |
+
- '**/details_harness|winogrande|5_2024-01-05T01-54-51.474354.parquet'
|
804 |
+
- config_name: results
|
805 |
+
data_files:
|
806 |
+
- split: 2024_01_05T01_54_51.474354
|
807 |
+
path:
|
808 |
+
- results_2024-01-05T01-54-51.474354.parquet
|
809 |
+
- split: latest
|
810 |
+
path:
|
811 |
+
- results_2024-01-05T01-54-51.474354.parquet
|
812 |
+
---
|
813 |
+
|
814 |
+
# Dataset Card for Evaluation run of TomGrc/FusionNet_passthrough
|
815 |
+
|
816 |
+
<!-- Provide a quick summary of the dataset. -->
|
817 |
+
|
818 |
+
Dataset automatically created during the evaluation run of model [TomGrc/FusionNet_passthrough](https://huggingface.co/TomGrc/FusionNet_passthrough) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
819 |
+
|
820 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
821 |
+
|
822 |
+
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the latest results.
|
823 |
+
|
824 |
+
An additional configuration "results" store all the aggregated results of the run (and is used to compute and display the aggregated metrics on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).
|
825 |
+
|
826 |
+
To load the details from a run, you can for instance do the following:
|
827 |
+
```python
|
828 |
+
from datasets import load_dataset
|
829 |
+
data = load_dataset("open-llm-leaderboard/details_TomGrc__FusionNet_passthrough",
|
830 |
+
"harness_winogrande_5",
|
831 |
+
split="train")
|
832 |
+
```
|
833 |
+
|
834 |
+
## Latest results
|
835 |
+
|
836 |
+
These are the [latest results from run 2024-01-05T01:54:51.474354](https://huggingface.co/datasets/open-llm-leaderboard/details_TomGrc__FusionNet_passthrough/blob/main/results_2024-01-05T01-54-51.474354.json)(note that their might be results for other tasks in the repos if successive evals didn't cover the same tasks. You find each in the results and the "latest" split for each eval):
|
837 |
+
|
838 |
+
```python
|
839 |
+
{
|
840 |
+
"all": {
|
841 |
+
"acc": 0.6481855915423794,
|
842 |
+
"acc_stderr": 0.03172482128149227,
|
843 |
+
"acc_norm": 0.6573137295108836,
|
844 |
+
"acc_norm_stderr": 0.032378144966385074,
|
845 |
+
"mc1": 0.5006119951040392,
|
846 |
+
"mc1_stderr": 0.01750348793889251,
|
847 |
+
"mc2": 0.676536094142442,
|
848 |
+
"mc2_stderr": 0.015240273828603672
|
849 |
+
},
|
850 |
+
"harness|arc:challenge|25": {
|
851 |
+
"acc": 0.6331058020477816,
|
852 |
+
"acc_stderr": 0.014084133118104298,
|
853 |
+
"acc_norm": 0.6945392491467577,
|
854 |
+
"acc_norm_stderr": 0.013460080478002508
|
855 |
+
},
|
856 |
+
"harness|hellaswag|10": {
|
857 |
+
"acc": 0.6409081856203943,
|
858 |
+
"acc_stderr": 0.004787537385153,
|
859 |
+
"acc_norm": 0.8772156940848437,
|
860 |
+
"acc_norm_stderr": 0.003275187310785843
|
861 |
+
},
|
862 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
863 |
+
"acc": 0.35,
|
864 |
+
"acc_stderr": 0.04793724854411021,
|
865 |
+
"acc_norm": 0.35,
|
866 |
+
"acc_norm_stderr": 0.04793724854411021
|
867 |
+
},
|
868 |
+
"harness|hendrycksTest-anatomy|5": {
|
869 |
+
"acc": 0.6,
|
870 |
+
"acc_stderr": 0.042320736951515885,
|
871 |
+
"acc_norm": 0.6,
|
872 |
+
"acc_norm_stderr": 0.042320736951515885
|
873 |
+
},
|
874 |
+
"harness|hendrycksTest-astronomy|5": {
|
875 |
+
"acc": 0.75,
|
876 |
+
"acc_stderr": 0.03523807393012047,
|
877 |
+
"acc_norm": 0.75,
|
878 |
+
"acc_norm_stderr": 0.03523807393012047
|
879 |
+
},
|
880 |
+
"harness|hendrycksTest-business_ethics|5": {
|
881 |
+
"acc": 0.73,
|
882 |
+
"acc_stderr": 0.0446196043338474,
|
883 |
+
"acc_norm": 0.73,
|
884 |
+
"acc_norm_stderr": 0.0446196043338474
|
885 |
+
},
|
886 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
887 |
+
"acc": 0.6830188679245283,
|
888 |
+
"acc_stderr": 0.028637235639800893,
|
889 |
+
"acc_norm": 0.6830188679245283,
|
890 |
+
"acc_norm_stderr": 0.028637235639800893
|
891 |
+
},
|
892 |
+
"harness|hendrycksTest-college_biology|5": {
|
893 |
+
"acc": 0.75,
|
894 |
+
"acc_stderr": 0.03621034121889507,
|
895 |
+
"acc_norm": 0.75,
|
896 |
+
"acc_norm_stderr": 0.03621034121889507
|
897 |
+
},
|
898 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
899 |
+
"acc": 0.42,
|
900 |
+
"acc_stderr": 0.049604496374885836,
|
901 |
+
"acc_norm": 0.42,
|
902 |
+
"acc_norm_stderr": 0.049604496374885836
|
903 |
+
},
|
904 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
905 |
+
"acc": 0.49,
|
906 |
+
"acc_stderr": 0.05024183937956912,
|
907 |
+
"acc_norm": 0.49,
|
908 |
+
"acc_norm_stderr": 0.05024183937956912
|
909 |
+
},
|
910 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
911 |
+
"acc": 0.31,
|
912 |
+
"acc_stderr": 0.04648231987117316,
|
913 |
+
"acc_norm": 0.31,
|
914 |
+
"acc_norm_stderr": 0.04648231987117316
|
915 |
+
},
|
916 |
+
"harness|hendrycksTest-college_medicine|5": {
|
917 |
+
"acc": 0.6763005780346821,
|
918 |
+
"acc_stderr": 0.03567603799639171,
|
919 |
+
"acc_norm": 0.6763005780346821,
|
920 |
+
"acc_norm_stderr": 0.03567603799639171
|
921 |
+
},
|
922 |
+
"harness|hendrycksTest-college_physics|5": {
|
923 |
+
"acc": 0.3627450980392157,
|
924 |
+
"acc_stderr": 0.047840607041056527,
|
925 |
+
"acc_norm": 0.3627450980392157,
|
926 |
+
"acc_norm_stderr": 0.047840607041056527
|
927 |
+
},
|
928 |
+
"harness|hendrycksTest-computer_security|5": {
|
929 |
+
"acc": 0.78,
|
930 |
+
"acc_stderr": 0.04163331998932261,
|
931 |
+
"acc_norm": 0.78,
|
932 |
+
"acc_norm_stderr": 0.04163331998932261
|
933 |
+
},
|
934 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
935 |
+
"acc": 0.6,
|
936 |
+
"acc_stderr": 0.03202563076101735,
|
937 |
+
"acc_norm": 0.6,
|
938 |
+
"acc_norm_stderr": 0.03202563076101735
|
939 |
+
},
|
940 |
+
"harness|hendrycksTest-econometrics|5": {
|
941 |
+
"acc": 0.49122807017543857,
|
942 |
+
"acc_stderr": 0.04702880432049615,
|
943 |
+
"acc_norm": 0.49122807017543857,
|
944 |
+
"acc_norm_stderr": 0.04702880432049615
|
945 |
+
},
|
946 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
947 |
+
"acc": 0.5862068965517241,
|
948 |
+
"acc_stderr": 0.04104269211806232,
|
949 |
+
"acc_norm": 0.5862068965517241,
|
950 |
+
"acc_norm_stderr": 0.04104269211806232
|
951 |
+
},
|
952 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
953 |
+
"acc": 0.49206349206349204,
|
954 |
+
"acc_stderr": 0.02574806587167328,
|
955 |
+
"acc_norm": 0.49206349206349204,
|
956 |
+
"acc_norm_stderr": 0.02574806587167328
|
957 |
+
},
|
958 |
+
"harness|hendrycksTest-formal_logic|5": {
|
959 |
+
"acc": 0.4365079365079365,
|
960 |
+
"acc_stderr": 0.04435932892851466,
|
961 |
+
"acc_norm": 0.4365079365079365,
|
962 |
+
"acc_norm_stderr": 0.04435932892851466
|
963 |
+
},
|
964 |
+
"harness|hendrycksTest-global_facts|5": {
|
965 |
+
"acc": 0.38,
|
966 |
+
"acc_stderr": 0.04878317312145632,
|
967 |
+
"acc_norm": 0.38,
|
968 |
+
"acc_norm_stderr": 0.04878317312145632
|
969 |
+
},
|
970 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
971 |
+
"acc": 0.7806451612903226,
|
972 |
+
"acc_stderr": 0.02354079935872329,
|
973 |
+
"acc_norm": 0.7806451612903226,
|
974 |
+
"acc_norm_stderr": 0.02354079935872329
|
975 |
+
},
|
976 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
977 |
+
"acc": 0.46798029556650245,
|
978 |
+
"acc_stderr": 0.03510766597959217,
|
979 |
+
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},
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1101 |
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},
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"harness|hendrycksTest-medical_genetics|5": {
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},
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"harness|hendrycksTest-miscellaneous|5": {
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},
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},
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"harness|hendrycksTest-moral_scenarios|5": {
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1121 |
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1125 |
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},
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"harness|hendrycksTest-nutrition|5": {
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},
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},
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"harness|hendrycksTest-prehistory|5": {
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"acc": 0.7746913580246914,
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1143 |
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},
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"harness|hendrycksTest-professional_accounting|5": {
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1145 |
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"acc": 0.4929078014184397,
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},
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"harness|hendrycksTest-professional_law|5": {
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"acc": 0.4810951760104302,
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1155 |
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},
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"harness|hendrycksTest-professional_medicine|5": {
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"acc": 0.7573529411764706,
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1161 |
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},
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1162 |
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"harness|hendrycksTest-professional_psychology|5": {
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1163 |
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1164 |
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1166 |
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1167 |
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},
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1168 |
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"harness|hendrycksTest-public_relations|5": {
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1169 |
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1170 |
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1172 |
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1173 |
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},
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1174 |
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"harness|hendrycksTest-security_studies|5": {
|
1175 |
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"acc": 0.7387755102040816,
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1176 |
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1177 |
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1179 |
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},
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1180 |
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"harness|hendrycksTest-sociology|5": {
|
1181 |
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"acc": 0.835820895522388,
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1182 |
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1185 |
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},
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1186 |
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"harness|hendrycksTest-us_foreign_policy|5": {
|
1187 |
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"acc": 0.89,
|
1188 |
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1189 |
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"acc_norm": 0.89,
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1190 |
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1191 |
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},
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1192 |
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"harness|hendrycksTest-virology|5": {
|
1193 |
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"acc": 0.5963855421686747,
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1194 |
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1197 |
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},
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1198 |
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"harness|hendrycksTest-world_religions|5": {
|
1199 |
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"acc": 0.8128654970760234,
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1200 |
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1201 |
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1202 |
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|
1203 |
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},
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1204 |
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"harness|truthfulqa:mc|0": {
|
1205 |
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"mc1": 0.5006119951040392,
|
1206 |
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1207 |
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"mc2": 0.676536094142442,
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1208 |
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"mc2_stderr": 0.015240273828603672
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1209 |
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},
|
1210 |
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"harness|winogrande|5": {
|
1211 |
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"acc": 0.8129439621152328,
|
1212 |
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"acc_stderr": 0.010959716435242914
|
1213 |
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},
|
1214 |
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"harness|gsm8k|5": {
|
1215 |
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"acc": 0.24260803639120546,
|
1216 |
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"acc_stderr": 0.011807426004596862
|
1217 |
+
}
|
1218 |
+
}
|
1219 |
+
```
|
1220 |
+
|
1221 |
+
## Dataset Details
|
1222 |
+
|
1223 |
+
### Dataset Description
|
1224 |
+
|
1225 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
1226 |
+
|
1227 |
+
|
1228 |
+
|
1229 |
+
- **Curated by:** [More Information Needed]
|
1230 |
+
- **Funded by [optional]:** [More Information Needed]
|
1231 |
+
- **Shared by [optional]:** [More Information Needed]
|
1232 |
+
- **Language(s) (NLP):** [More Information Needed]
|
1233 |
+
- **License:** [More Information Needed]
|
1234 |
+
|
1235 |
+
### Dataset Sources [optional]
|
1236 |
+
|
1237 |
+
<!-- Provide the basic links for the dataset. -->
|
1238 |
+
|
1239 |
+
- **Repository:** [More Information Needed]
|
1240 |
+
- **Paper [optional]:** [More Information Needed]
|
1241 |
+
- **Demo [optional]:** [More Information Needed]
|
1242 |
+
|
1243 |
+
## Uses
|
1244 |
+
|
1245 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
1246 |
+
|
1247 |
+
### Direct Use
|
1248 |
+
|
1249 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
1250 |
+
|
1251 |
+
[More Information Needed]
|
1252 |
+
|
1253 |
+
### Out-of-Scope Use
|
1254 |
+
|
1255 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
1256 |
+
|
1257 |
+
[More Information Needed]
|
1258 |
+
|
1259 |
+
## Dataset Structure
|
1260 |
+
|
1261 |
+
<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->
|
1262 |
+
|
1263 |
+
[More Information Needed]
|
1264 |
+
|
1265 |
+
## Dataset Creation
|
1266 |
+
|
1267 |
+
### Curation Rationale
|
1268 |
+
|
1269 |
+
<!-- Motivation for the creation of this dataset. -->
|
1270 |
+
|
1271 |
+
[More Information Needed]
|
1272 |
+
|
1273 |
+
### Source Data
|
1274 |
+
|
1275 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
1276 |
+
|
1277 |
+
#### Data Collection and Processing
|
1278 |
+
|
1279 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
1280 |
+
|
1281 |
+
[More Information Needed]
|
1282 |
+
|
1283 |
+
#### Who are the source data producers?
|
1284 |
+
|
1285 |
+
<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->
|
1286 |
+
|
1287 |
+
[More Information Needed]
|
1288 |
+
|
1289 |
+
### Annotations [optional]
|
1290 |
+
|
1291 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
1292 |
+
|
1293 |
+
#### Annotation process
|
1294 |
+
|
1295 |
+
<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->
|
1296 |
+
|
1297 |
+
[More Information Needed]
|
1298 |
+
|
1299 |
+
#### Who are the annotators?
|
1300 |
+
|
1301 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
1302 |
+
|
1303 |
+
[More Information Needed]
|
1304 |
+
|
1305 |
+
#### Personal and Sensitive Information
|
1306 |
+
|
1307 |
+
<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->
|
1308 |
+
|
1309 |
+
[More Information Needed]
|
1310 |
+
|
1311 |
+
## Bias, Risks, and Limitations
|
1312 |
+
|
1313 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
1314 |
+
|
1315 |
+
[More Information Needed]
|
1316 |
+
|
1317 |
+
### Recommendations
|
1318 |
+
|
1319 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
1320 |
+
|
1321 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
1322 |
+
|
1323 |
+
## Citation [optional]
|
1324 |
+
|
1325 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
1326 |
+
|
1327 |
+
**BibTeX:**
|
1328 |
+
|
1329 |
+
[More Information Needed]
|
1330 |
+
|
1331 |
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**APA:**
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1332 |
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|
1333 |
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[More Information Needed]
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1334 |
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|
1335 |
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## Glossary [optional]
|
1336 |
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|
1337 |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
1338 |
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|
1339 |
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[More Information Needed]
|
1340 |
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|
1341 |
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## More Information [optional]
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1342 |
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|
1343 |
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[More Information Needed]
|
1344 |
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|
1345 |
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## Dataset Card Authors [optional]
|
1346 |
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|
1347 |
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[More Information Needed]
|
1348 |
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|
1349 |
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## Dataset Card Contact
|
1350 |
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|
1351 |
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[More Information Needed]
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