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README.md
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|
| 1 |
+
---
|
| 2 |
+
pretty_name: Evaluation run of Weyaxi/Einstein-v5-v0.2-7B
|
| 3 |
+
dataset_summary: "Dataset automatically created during the evaluation run of model\
|
| 4 |
+
\ [Weyaxi/Einstein-v5-v0.2-7B](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B)\
|
| 5 |
+
\ on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).\n\
|
| 6 |
+
\nThe dataset is composed of 63 configuration, each one coresponding to one of the\
|
| 7 |
+
\ evaluated task.\n\nThe dataset has been created from 1 run(s). Each run can be\
|
| 8 |
+
\ found as a specific split in each configuration, the split being named using the\
|
| 9 |
+
\ timestamp of the run.The \"train\" split is always pointing to the latest results.\n\
|
| 10 |
+
\nAn additional configuration \"results\" store all the aggregated results of the\
|
| 11 |
+
\ run (and is used to compute and display the aggregated metrics on the [Open LLM\
|
| 12 |
+
\ Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard)).\n\
|
| 13 |
+
\nTo load the details from a run, you can for instance do the following:\n```python\n\
|
| 14 |
+
from datasets import load_dataset\ndata = load_dataset(\"open-llm-leaderboard/details_Weyaxi__Einstein-v5-v0.2-7B\"\
|
| 15 |
+
,\n\t\"harness_winogrande_5\",\n\tsplit=\"train\")\n```\n\n## Latest results\n\n\
|
| 16 |
+
These are the [latest results from run 2024-03-27T21:09:37.228677](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v5-v0.2-7B/blob/main/results_2024-03-27T21-09-37.228677.json)(note\
|
| 17 |
+
\ that their might be results for other tasks in the repos if successive evals didn't\
|
| 18 |
+
\ cover the same tasks. You find each in the results and the \"latest\" split for\
|
| 19 |
+
\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.612286564752706,\n\
|
| 20 |
+
\ \"acc_stderr\": 0.032839983165383065,\n \"acc_norm\": 0.6135779860343825,\n\
|
| 21 |
+
\ \"acc_norm_stderr\": 0.03350956178751591,\n \"mc1\": 0.3537331701346389,\n\
|
| 22 |
+
\ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.5259333753586267,\n\
|
| 23 |
+
\ \"mc2_stderr\": 0.015070357329952046\n },\n \"harness|arc:challenge|25\"\
|
| 24 |
+
: {\n \"acc\": 0.5691126279863481,\n \"acc_stderr\": 0.014471133392642463,\n\
|
| 25 |
+
\ \"acc_norm\": 0.6092150170648464,\n \"acc_norm_stderr\": 0.01425856388051378\n\
|
| 26 |
+
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.6148177653853814,\n\
|
| 27 |
+
\ \"acc_stderr\": 0.004856437955719861,\n \"acc_norm\": 0.8098984266082454,\n\
|
| 28 |
+
\ \"acc_norm_stderr\": 0.003915792315457802\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\
|
| 29 |
+
: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \
|
| 30 |
+
\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
| 31 |
+
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.5481481481481482,\n\
|
| 32 |
+
\ \"acc_stderr\": 0.042992689054808644,\n \"acc_norm\": 0.5481481481481482,\n\
|
| 33 |
+
\ \"acc_norm_stderr\": 0.042992689054808644\n },\n \"harness|hendrycksTest-astronomy|5\"\
|
| 34 |
+
: {\n \"acc\": 0.6644736842105263,\n \"acc_stderr\": 0.03842498559395269,\n\
|
| 35 |
+
\ \"acc_norm\": 0.6644736842105263,\n \"acc_norm_stderr\": 0.03842498559395269\n\
|
| 36 |
+
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.54,\n\
|
| 37 |
+
\ \"acc_stderr\": 0.05009082659620333,\n \"acc_norm\": 0.54,\n \
|
| 38 |
+
\ \"acc_norm_stderr\": 0.05009082659620333\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\
|
| 39 |
+
: {\n \"acc\": 0.660377358490566,\n \"acc_stderr\": 0.029146904747798328,\n\
|
| 40 |
+
\ \"acc_norm\": 0.660377358490566,\n \"acc_norm_stderr\": 0.029146904747798328\n\
|
| 41 |
+
\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7083333333333334,\n\
|
| 42 |
+
\ \"acc_stderr\": 0.038009680605548594,\n \"acc_norm\": 0.7083333333333334,\n\
|
| 43 |
+
\ \"acc_norm_stderr\": 0.038009680605548594\n },\n \"harness|hendrycksTest-college_chemistry|5\"\
|
| 44 |
+
: {\n \"acc\": 0.47,\n \"acc_stderr\": 0.050161355804659205,\n \
|
| 45 |
+
\ \"acc_norm\": 0.47,\n \"acc_norm_stderr\": 0.050161355804659205\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\": 0.39,\n \"acc_stderr\": 0.04902071300001975,\n \
|
| 50 |
+
\ \"acc_norm\": 0.39,\n \"acc_norm_stderr\": 0.04902071300001975\n \
|
| 51 |
+
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.5606936416184971,\n\
|
| 52 |
+
\ \"acc_stderr\": 0.037842719328874674,\n \"acc_norm\": 0.5606936416184971,\n\
|
| 53 |
+
\ \"acc_norm_stderr\": 0.037842719328874674\n },\n \"harness|hendrycksTest-college_physics|5\"\
|
| 54 |
+
: {\n \"acc\": 0.3235294117647059,\n \"acc_stderr\": 0.04655010411319619,\n\
|
| 55 |
+
\ \"acc_norm\": 0.3235294117647059,\n \"acc_norm_stderr\": 0.04655010411319619\n\
|
| 56 |
+
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\
|
| 57 |
+
\ 0.76,\n \"acc_stderr\": 0.042923469599092816,\n \"acc_norm\": 0.76,\n\
|
| 58 |
+
\ \"acc_norm_stderr\": 0.042923469599092816\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\
|
| 59 |
+
: {\n \"acc\": 0.5319148936170213,\n \"acc_stderr\": 0.03261936918467383,\n\
|
| 60 |
+
\ \"acc_norm\": 0.5319148936170213,\n \"acc_norm_stderr\": 0.03261936918467383\n\
|
| 61 |
+
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\
|
| 62 |
+
\ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\
|
| 63 |
+
\ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\
|
| 64 |
+
: {\n \"acc\": 0.5103448275862069,\n \"acc_stderr\": 0.04165774775728763,\n\
|
| 65 |
+
\ \"acc_norm\": 0.5103448275862069,\n \"acc_norm_stderr\": 0.04165774775728763\n\
|
| 66 |
+
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\
|
| 67 |
+
: 0.41534391534391535,\n \"acc_stderr\": 0.025379524910778394,\n \"\
|
| 68 |
+
acc_norm\": 0.41534391534391535,\n \"acc_norm_stderr\": 0.025379524910778394\n\
|
| 69 |
+
\ },\n \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.42857142857142855,\n\
|
| 70 |
+
\ \"acc_stderr\": 0.04426266681379909,\n \"acc_norm\": 0.42857142857142855,\n\
|
| 71 |
+
\ \"acc_norm_stderr\": 0.04426266681379909\n },\n \"harness|hendrycksTest-global_facts|5\"\
|
| 72 |
+
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \
|
| 73 |
+
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \
|
| 74 |
+
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.635483870967742,\n\
|
| 75 |
+
\ \"acc_stderr\": 0.027379871229943245,\n \"acc_norm\": 0.635483870967742,\n\
|
| 76 |
+
\ \"acc_norm_stderr\": 0.027379871229943245\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\
|
| 77 |
+
: {\n \"acc\": 0.4729064039408867,\n \"acc_stderr\": 0.03512819077876106,\n\
|
| 78 |
+
\ \"acc_norm\": 0.4729064039408867,\n \"acc_norm_stderr\": 0.03512819077876106\n\
|
| 79 |
+
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \
|
| 80 |
+
\ \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526066,\n \"acc_norm\"\
|
| 81 |
+
: 0.67,\n \"acc_norm_stderr\": 0.047258156262526066\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\
|
| 82 |
+
: {\n \"acc\": 0.7757575757575758,\n \"acc_stderr\": 0.032568666616811015,\n\
|
| 83 |
+
\ \"acc_norm\": 0.7757575757575758,\n \"acc_norm_stderr\": 0.032568666616811015\n\
|
| 84 |
+
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\
|
| 85 |
+
: 0.7626262626262627,\n \"acc_stderr\": 0.03031371053819889,\n \"\
|
| 86 |
+
acc_norm\": 0.7626262626262627,\n \"acc_norm_stderr\": 0.03031371053819889\n\
|
| 87 |
+
\ },\n \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n\
|
| 88 |
+
\ \"acc\": 0.8549222797927462,\n \"acc_stderr\": 0.025416343096306422,\n\
|
| 89 |
+
\ \"acc_norm\": 0.8549222797927462,\n \"acc_norm_stderr\": 0.025416343096306422\n\
|
| 90 |
+
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \
|
| 91 |
+
\ \"acc\": 0.5974358974358974,\n \"acc_stderr\": 0.02486499515976775,\n \
|
| 92 |
+
\ \"acc_norm\": 0.5974358974358974,\n \"acc_norm_stderr\": 0.02486499515976775\n\
|
| 93 |
+
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\
|
| 94 |
+
acc\": 0.3,\n \"acc_stderr\": 0.027940457136228416,\n \"acc_norm\"\
|
| 95 |
+
: 0.3,\n \"acc_norm_stderr\": 0.027940457136228416\n },\n \"harness|hendrycksTest-high_school_microeconomics|5\"\
|
| 96 |
+
: {\n \"acc\": 0.6302521008403361,\n \"acc_stderr\": 0.03135709599613591,\n\
|
| 97 |
+
\ \"acc_norm\": 0.6302521008403361,\n \"acc_norm_stderr\": 0.03135709599613591\n\
|
| 98 |
+
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\
|
| 99 |
+
: 0.31125827814569534,\n \"acc_stderr\": 0.03780445850526732,\n \"\
|
| 100 |
+
acc_norm\": 0.31125827814569534,\n \"acc_norm_stderr\": 0.03780445850526732\n\
|
| 101 |
+
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\
|
| 102 |
+
: 0.7944954128440367,\n \"acc_stderr\": 0.017324352325016015,\n \"\
|
| 103 |
+
acc_norm\": 0.7944954128440367,\n \"acc_norm_stderr\": 0.017324352325016015\n\
|
| 104 |
+
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\
|
| 105 |
+
: 0.44907407407407407,\n \"acc_stderr\": 0.03392238405321616,\n \"\
|
| 106 |
+
acc_norm\": 0.44907407407407407,\n \"acc_norm_stderr\": 0.03392238405321616\n\
|
| 107 |
+
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\
|
| 108 |
+
: 0.8235294117647058,\n \"acc_stderr\": 0.026756401538078966,\n \"\
|
| 109 |
+
acc_norm\": 0.8235294117647058,\n \"acc_norm_stderr\": 0.026756401538078966\n\
|
| 110 |
+
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\
|
| 111 |
+
acc\": 0.7848101265822784,\n \"acc_stderr\": 0.026750826994676187,\n \
|
| 112 |
+
\ \"acc_norm\": 0.7848101265822784,\n \"acc_norm_stderr\": 0.026750826994676187\n\
|
| 113 |
+
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.6547085201793722,\n\
|
| 114 |
+
\ \"acc_stderr\": 0.03191100192835794,\n \"acc_norm\": 0.6547085201793722,\n\
|
| 115 |
+
\ \"acc_norm_stderr\": 0.03191100192835794\n },\n \"harness|hendrycksTest-human_sexuality|5\"\
|
| 116 |
+
: {\n \"acc\": 0.7251908396946565,\n \"acc_stderr\": 0.03915345408847836,\n\
|
| 117 |
+
\ \"acc_norm\": 0.7251908396946565,\n \"acc_norm_stderr\": 0.03915345408847836\n\
|
| 118 |
+
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\
|
| 119 |
+
\ 0.7603305785123967,\n \"acc_stderr\": 0.03896878985070416,\n \"\
|
| 120 |
+
acc_norm\": 0.7603305785123967,\n \"acc_norm_stderr\": 0.03896878985070416\n\
|
| 121 |
+
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7870370370370371,\n\
|
| 122 |
+
\ \"acc_stderr\": 0.0395783547198098,\n \"acc_norm\": 0.7870370370370371,\n\
|
| 123 |
+
\ \"acc_norm_stderr\": 0.0395783547198098\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\
|
| 124 |
+
: {\n \"acc\": 0.7239263803680982,\n \"acc_stderr\": 0.03512385283705048,\n\
|
| 125 |
+
\ \"acc_norm\": 0.7239263803680982,\n \"acc_norm_stderr\": 0.03512385283705048\n\
|
| 126 |
+
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.4642857142857143,\n\
|
| 127 |
+
\ \"acc_stderr\": 0.04733667890053756,\n \"acc_norm\": 0.4642857142857143,\n\
|
| 128 |
+
\ \"acc_norm_stderr\": 0.04733667890053756\n },\n \"harness|hendrycksTest-management|5\"\
|
| 129 |
+
: {\n \"acc\": 0.7864077669902912,\n \"acc_stderr\": 0.040580420156460344,\n\
|
| 130 |
+
\ \"acc_norm\": 0.7864077669902912,\n \"acc_norm_stderr\": 0.040580420156460344\n\
|
| 131 |
+
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8547008547008547,\n\
|
| 132 |
+
\ \"acc_stderr\": 0.02308663508684141,\n \"acc_norm\": 0.8547008547008547,\n\
|
| 133 |
+
\ \"acc_norm_stderr\": 0.02308663508684141\n },\n \"harness|hendrycksTest-medical_genetics|5\"\
|
| 134 |
+
: {\n \"acc\": 0.7,\n \"acc_stderr\": 0.046056618647183814,\n \
|
| 135 |
+
\ \"acc_norm\": 0.7,\n \"acc_norm_stderr\": 0.046056618647183814\n \
|
| 136 |
+
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.7931034482758621,\n\
|
| 137 |
+
\ \"acc_stderr\": 0.014485656041669178,\n \"acc_norm\": 0.7931034482758621,\n\
|
| 138 |
+
\ \"acc_norm_stderr\": 0.014485656041669178\n },\n \"harness|hendrycksTest-moral_disputes|5\"\
|
| 139 |
+
: {\n \"acc\": 0.6965317919075145,\n \"acc_stderr\": 0.02475241196091721,\n\
|
| 140 |
+
\ \"acc_norm\": 0.6965317919075145,\n \"acc_norm_stderr\": 0.02475241196091721\n\
|
| 141 |
+
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.2759776536312849,\n\
|
| 142 |
+
\ \"acc_stderr\": 0.014950103002475358,\n \"acc_norm\": 0.2759776536312849,\n\
|
| 143 |
+
\ \"acc_norm_stderr\": 0.014950103002475358\n },\n \"harness|hendrycksTest-nutrition|5\"\
|
| 144 |
+
: {\n \"acc\": 0.7254901960784313,\n \"acc_stderr\": 0.025553169991826517,\n\
|
| 145 |
+
\ \"acc_norm\": 0.7254901960784313,\n \"acc_norm_stderr\": 0.025553169991826517\n\
|
| 146 |
+
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.6913183279742765,\n\
|
| 147 |
+
\ \"acc_stderr\": 0.026236965881153266,\n \"acc_norm\": 0.6913183279742765,\n\
|
| 148 |
+
\ \"acc_norm_stderr\": 0.026236965881153266\n },\n \"harness|hendrycksTest-prehistory|5\"\
|
| 149 |
+
: {\n \"acc\": 0.7129629629629629,\n \"acc_stderr\": 0.02517104191530968,\n\
|
| 150 |
+
\ \"acc_norm\": 0.7129629629629629,\n \"acc_norm_stderr\": 0.02517104191530968\n\
|
| 151 |
+
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\
|
| 152 |
+
acc\": 0.44680851063829785,\n \"acc_stderr\": 0.029658235097666907,\n \
|
| 153 |
+
\ \"acc_norm\": 0.44680851063829785,\n \"acc_norm_stderr\": 0.029658235097666907\n\
|
| 154 |
+
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4621903520208605,\n\
|
| 155 |
+
\ \"acc_stderr\": 0.012733671880342507,\n \"acc_norm\": 0.4621903520208605,\n\
|
| 156 |
+
\ \"acc_norm_stderr\": 0.012733671880342507\n },\n \"harness|hendrycksTest-professional_medicine|5\"\
|
| 157 |
+
: {\n \"acc\": 0.5845588235294118,\n \"acc_stderr\": 0.029935342707877746,\n\
|
| 158 |
+
\ \"acc_norm\": 0.5845588235294118,\n \"acc_norm_stderr\": 0.029935342707877746\n\
|
| 159 |
+
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\
|
| 160 |
+
acc\": 0.6568627450980392,\n \"acc_stderr\": 0.019206606848825362,\n \
|
| 161 |
+
\ \"acc_norm\": 0.6568627450980392,\n \"acc_norm_stderr\": 0.019206606848825362\n\
|
| 162 |
+
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6363636363636364,\n\
|
| 163 |
+
\ \"acc_stderr\": 0.04607582090719976,\n \"acc_norm\": 0.6363636363636364,\n\
|
| 164 |
+
\ \"acc_norm_stderr\": 0.04607582090719976\n },\n \"harness|hendrycksTest-security_studies|5\"\
|
| 165 |
+
: {\n \"acc\": 0.7346938775510204,\n \"acc_stderr\": 0.028263889943784593,\n\
|
| 166 |
+
\ \"acc_norm\": 0.7346938775510204,\n \"acc_norm_stderr\": 0.028263889943784593\n\
|
| 167 |
+
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.7860696517412935,\n\
|
| 168 |
+
\ \"acc_stderr\": 0.028996909693328913,\n \"acc_norm\": 0.7860696517412935,\n\
|
| 169 |
+
\ \"acc_norm_stderr\": 0.028996909693328913\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\
|
| 170 |
+
: {\n \"acc\": 0.85,\n \"acc_stderr\": 0.03588702812826369,\n \
|
| 171 |
+
\ \"acc_norm\": 0.85,\n \"acc_norm_stderr\": 0.03588702812826369\n \
|
| 172 |
+
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.4879518072289157,\n\
|
| 173 |
+
\ \"acc_stderr\": 0.03891364495835821,\n \"acc_norm\": 0.4879518072289157,\n\
|
| 174 |
+
\ \"acc_norm_stderr\": 0.03891364495835821\n },\n \"harness|hendrycksTest-world_religions|5\"\
|
| 175 |
+
: {\n \"acc\": 0.7953216374269005,\n \"acc_stderr\": 0.030944459778533207,\n\
|
| 176 |
+
\ \"acc_norm\": 0.7953216374269005,\n \"acc_norm_stderr\": 0.030944459778533207\n\
|
| 177 |
+
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3537331701346389,\n\
|
| 178 |
+
\ \"mc1_stderr\": 0.016737814358846147,\n \"mc2\": 0.5259333753586267,\n\
|
| 179 |
+
\ \"mc2_stderr\": 0.015070357329952046\n },\n \"harness|winogrande|5\"\
|
| 180 |
+
: {\n \"acc\": 0.7868981846882399,\n \"acc_stderr\": 0.011508957690722769\n\
|
| 181 |
+
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.5966641394996209,\n \
|
| 182 |
+
\ \"acc_stderr\": 0.01351265478181471\n }\n}\n```"
|
| 183 |
+
repo_url: https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B
|
| 184 |
+
leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard
|
| 185 |
+
point_of_contact: [email protected]
|
| 186 |
+
configs:
|
| 187 |
+
- config_name: harness_arc_challenge_25
|
| 188 |
+
data_files:
|
| 189 |
+
- split: 2024_03_27T21_09_37.228677
|
| 190 |
+
path:
|
| 191 |
+
- '**/details_harness|arc:challenge|25_2024-03-27T21-09-37.228677.parquet'
|
| 192 |
+
- split: latest
|
| 193 |
+
path:
|
| 194 |
+
- '**/details_harness|arc:challenge|25_2024-03-27T21-09-37.228677.parquet'
|
| 195 |
+
- config_name: harness_gsm8k_5
|
| 196 |
+
data_files:
|
| 197 |
+
- split: 2024_03_27T21_09_37.228677
|
| 198 |
+
path:
|
| 199 |
+
- '**/details_harness|gsm8k|5_2024-03-27T21-09-37.228677.parquet'
|
| 200 |
+
- split: latest
|
| 201 |
+
path:
|
| 202 |
+
- '**/details_harness|gsm8k|5_2024-03-27T21-09-37.228677.parquet'
|
| 203 |
+
- config_name: harness_hellaswag_10
|
| 204 |
+
data_files:
|
| 205 |
+
- split: 2024_03_27T21_09_37.228677
|
| 206 |
+
path:
|
| 207 |
+
- '**/details_harness|hellaswag|10_2024-03-27T21-09-37.228677.parquet'
|
| 208 |
+
- split: latest
|
| 209 |
+
path:
|
| 210 |
+
- '**/details_harness|hellaswag|10_2024-03-27T21-09-37.228677.parquet'
|
| 211 |
+
- config_name: harness_hendrycksTest_5
|
| 212 |
+
data_files:
|
| 213 |
+
- split: 2024_03_27T21_09_37.228677
|
| 214 |
+
path:
|
| 215 |
+
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-03-27T21-09-37.228677.parquet'
|
| 216 |
+
- '**/details_harness|hendrycksTest-anatomy|5_2024-03-27T21-09-37.228677.parquet'
|
| 217 |
+
- '**/details_harness|hendrycksTest-astronomy|5_2024-03-27T21-09-37.228677.parquet'
|
| 218 |
+
- '**/details_harness|hendrycksTest-business_ethics|5_2024-03-27T21-09-37.228677.parquet'
|
| 219 |
+
- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-03-27T21-09-37.228677.parquet'
|
| 220 |
+
- '**/details_harness|hendrycksTest-college_biology|5_2024-03-27T21-09-37.228677.parquet'
|
| 221 |
+
- '**/details_harness|hendrycksTest-college_chemistry|5_2024-03-27T21-09-37.228677.parquet'
|
| 222 |
+
- '**/details_harness|hendrycksTest-college_computer_science|5_2024-03-27T21-09-37.228677.parquet'
|
| 223 |
+
- '**/details_harness|hendrycksTest-college_mathematics|5_2024-03-27T21-09-37.228677.parquet'
|
| 224 |
+
- '**/details_harness|hendrycksTest-college_medicine|5_2024-03-27T21-09-37.228677.parquet'
|
| 225 |
+
- '**/details_harness|hendrycksTest-college_physics|5_2024-03-27T21-09-37.228677.parquet'
|
| 226 |
+
- '**/details_harness|hendrycksTest-computer_security|5_2024-03-27T21-09-37.228677.parquet'
|
| 227 |
+
- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-03-27T21-09-37.228677.parquet'
|
| 228 |
+
- '**/details_harness|hendrycksTest-econometrics|5_2024-03-27T21-09-37.228677.parquet'
|
| 229 |
+
- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-03-27T21-09-37.228677.parquet'
|
| 230 |
+
- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-03-27T21-09-37.228677.parquet'
|
| 231 |
+
- '**/details_harness|hendrycksTest-formal_logic|5_2024-03-27T21-09-37.228677.parquet'
|
| 232 |
+
- '**/details_harness|hendrycksTest-global_facts|5_2024-03-27T21-09-37.228677.parquet'
|
| 233 |
+
- '**/details_harness|hendrycksTest-high_school_biology|5_2024-03-27T21-09-37.228677.parquet'
|
| 234 |
+
- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-03-27T21-09-37.228677.parquet'
|
| 235 |
+
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-03-27T21-09-37.228677.parquet'
|
| 236 |
+
- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-03-27T21-09-37.228677.parquet'
|
| 237 |
+
- '**/details_harness|hendrycksTest-high_school_geography|5_2024-03-27T21-09-37.228677.parquet'
|
| 238 |
+
- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-03-27T21-09-37.228677.parquet'
|
| 239 |
+
- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-03-27T21-09-37.228677.parquet'
|
| 240 |
+
- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-03-27T21-09-37.228677.parquet'
|
| 241 |
+
- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-03-27T21-09-37.228677.parquet'
|
| 242 |
+
- '**/details_harness|hendrycksTest-high_school_physics|5_2024-03-27T21-09-37.228677.parquet'
|
| 243 |
+
- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-03-27T21-09-37.228677.parquet'
|
| 244 |
+
- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-03-27T21-09-37.228677.parquet'
|
| 245 |
+
- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-03-27T21-09-37.228677.parquet'
|
| 246 |
+
- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-03-27T21-09-37.228677.parquet'
|
| 247 |
+
- '**/details_harness|hendrycksTest-human_aging|5_2024-03-27T21-09-37.228677.parquet'
|
| 248 |
+
- '**/details_harness|hendrycksTest-human_sexuality|5_2024-03-27T21-09-37.228677.parquet'
|
| 249 |
+
- '**/details_harness|hendrycksTest-international_law|5_2024-03-27T21-09-37.228677.parquet'
|
| 250 |
+
- '**/details_harness|hendrycksTest-jurisprudence|5_2024-03-27T21-09-37.228677.parquet'
|
| 251 |
+
- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-03-27T21-09-37.228677.parquet'
|
| 252 |
+
- '**/details_harness|hendrycksTest-machine_learning|5_2024-03-27T21-09-37.228677.parquet'
|
| 253 |
+
- '**/details_harness|hendrycksTest-management|5_2024-03-27T21-09-37.228677.parquet'
|
| 254 |
+
- '**/details_harness|hendrycksTest-marketing|5_2024-03-27T21-09-37.228677.parquet'
|
| 255 |
+
- '**/details_harness|hendrycksTest-medical_genetics|5_2024-03-27T21-09-37.228677.parquet'
|
| 256 |
+
- '**/details_harness|hendrycksTest-miscellaneous|5_2024-03-27T21-09-37.228677.parquet'
|
| 257 |
+
- '**/details_harness|hendrycksTest-moral_disputes|5_2024-03-27T21-09-37.228677.parquet'
|
| 258 |
+
- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-03-27T21-09-37.228677.parquet'
|
| 259 |
+
- '**/details_harness|hendrycksTest-nutrition|5_2024-03-27T21-09-37.228677.parquet'
|
| 260 |
+
- '**/details_harness|hendrycksTest-philosophy|5_2024-03-27T21-09-37.228677.parquet'
|
| 261 |
+
- '**/details_harness|hendrycksTest-prehistory|5_2024-03-27T21-09-37.228677.parquet'
|
| 262 |
+
- '**/details_harness|hendrycksTest-professional_accounting|5_2024-03-27T21-09-37.228677.parquet'
|
| 263 |
+
- '**/details_harness|hendrycksTest-professional_law|5_2024-03-27T21-09-37.228677.parquet'
|
| 264 |
+
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-03-27T21-09-37.228677.parquet'
|
| 265 |
+
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-03-27T21-09-37.228677.parquet'
|
| 266 |
+
- '**/details_harness|hendrycksTest-public_relations|5_2024-03-27T21-09-37.228677.parquet'
|
| 267 |
+
- '**/details_harness|hendrycksTest-security_studies|5_2024-03-27T21-09-37.228677.parquet'
|
| 268 |
+
- '**/details_harness|hendrycksTest-sociology|5_2024-03-27T21-09-37.228677.parquet'
|
| 269 |
+
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-03-27T21-09-37.228677.parquet'
|
| 270 |
+
- '**/details_harness|hendrycksTest-virology|5_2024-03-27T21-09-37.228677.parquet'
|
| 271 |
+
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 504 |
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- split: latest
|
| 505 |
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path:
|
| 506 |
+
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|
| 507 |
+
- config_name: harness_hendrycksTest_high_school_geography_5
|
| 508 |
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data_files:
|
| 509 |
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- split: 2024_03_27T21_09_37.228677
|
| 510 |
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path:
|
| 511 |
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|
| 512 |
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- split: latest
|
| 513 |
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path:
|
| 514 |
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|
| 515 |
+
- config_name: harness_hendrycksTest_high_school_government_and_politics_5
|
| 516 |
+
data_files:
|
| 517 |
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- split: 2024_03_27T21_09_37.228677
|
| 518 |
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path:
|
| 519 |
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|
| 520 |
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- split: latest
|
| 521 |
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path:
|
| 522 |
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|
| 523 |
+
- config_name: harness_hendrycksTest_high_school_macroeconomics_5
|
| 524 |
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data_files:
|
| 525 |
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- split: 2024_03_27T21_09_37.228677
|
| 526 |
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path:
|
| 527 |
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|
| 528 |
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- split: latest
|
| 529 |
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path:
|
| 530 |
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|
| 531 |
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- config_name: harness_hendrycksTest_high_school_mathematics_5
|
| 532 |
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data_files:
|
| 533 |
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|
| 534 |
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path:
|
| 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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- config_name: harness_hendrycksTest_high_school_microeconomics_5
|
| 540 |
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data_files:
|
| 541 |
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|
| 542 |
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|
| 543 |
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|
| 544 |
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|
| 545 |
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|
| 546 |
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|
| 547 |
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- config_name: harness_hendrycksTest_high_school_physics_5
|
| 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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- config_name: harness_hendrycksTest_high_school_psychology_5
|
| 556 |
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data_files:
|
| 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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- config_name: harness_hendrycksTest_high_school_statistics_5
|
| 564 |
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|
| 565 |
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|
| 566 |
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| 567 |
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|
| 568 |
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|
| 569 |
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path:
|
| 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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|
| 576 |
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|
| 577 |
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|
| 578 |
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|
| 579 |
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|
| 580 |
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|
| 581 |
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|
| 582 |
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| 583 |
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|
| 584 |
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|
| 585 |
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|
| 586 |
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|
| 587 |
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|
| 588 |
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|
| 589 |
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|
| 590 |
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| 591 |
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|
| 592 |
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|
| 593 |
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|
| 594 |
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|
| 595 |
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|
| 596 |
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|
| 597 |
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|
| 598 |
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| 599 |
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|
| 600 |
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|
| 601 |
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|
| 602 |
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|
| 603 |
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|
| 604 |
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|
| 605 |
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|
| 606 |
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| 607 |
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|
| 608 |
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|
| 609 |
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|
| 610 |
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|
| 611 |
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|
| 612 |
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|
| 613 |
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|
| 614 |
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| 615 |
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|
| 616 |
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|
| 617 |
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|
| 618 |
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|
| 619 |
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|
| 620 |
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|
| 621 |
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|
| 622 |
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| 623 |
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|
| 624 |
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|
| 625 |
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|
| 626 |
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|
| 627 |
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|
| 628 |
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|
| 629 |
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|
| 630 |
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| 631 |
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|
| 632 |
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|
| 633 |
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|
| 634 |
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|
| 635 |
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|
| 636 |
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|
| 637 |
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|
| 638 |
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| 639 |
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|
| 640 |
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|
| 641 |
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|
| 642 |
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|
| 643 |
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|
| 644 |
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|
| 645 |
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|
| 646 |
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| 647 |
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|
| 648 |
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|
| 649 |
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|
| 650 |
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|
| 651 |
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|
| 652 |
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|
| 653 |
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|
| 654 |
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| 655 |
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|
| 656 |
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|
| 657 |
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|
| 658 |
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|
| 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 |
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|
| 667 |
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|
| 668 |
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|
| 669 |
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|
| 670 |
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|
| 672 |
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|
| 673 |
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| 674 |
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|
| 675 |
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|
| 676 |
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|
| 677 |
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|
| 678 |
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| 679 |
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|
| 680 |
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|
| 681 |
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|
| 682 |
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|
| 683 |
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|
| 684 |
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|
| 685 |
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|
| 686 |
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|
| 688 |
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|
| 689 |
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|
| 690 |
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|
| 691 |
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|
| 692 |
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|
| 693 |
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|
| 694 |
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|
| 695 |
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|
| 696 |
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|
| 697 |
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|
| 698 |
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|
| 699 |
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|
| 700 |
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|
| 701 |
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|
| 702 |
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| 703 |
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|
| 704 |
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|
| 705 |
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|
| 706 |
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|
| 707 |
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|
| 708 |
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|
| 709 |
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|
| 710 |
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| 711 |
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|
| 712 |
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|
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|
| 714 |
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|
| 715 |
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|
| 716 |
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|
| 717 |
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|
| 718 |
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| 719 |
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|
| 720 |
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|
| 721 |
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|
| 722 |
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|
| 723 |
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|
| 724 |
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|
| 725 |
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|
| 726 |
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|
| 728 |
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|
| 729 |
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|
| 730 |
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|
| 731 |
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|
| 732 |
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|
| 733 |
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|
| 734 |
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|
| 736 |
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|
| 737 |
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| 738 |
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|
| 739 |
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|
| 740 |
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|
| 741 |
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|
| 742 |
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|
| 744 |
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|
| 745 |
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| 746 |
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|
| 747 |
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|
| 748 |
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|
| 749 |
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|
| 750 |
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|
| 752 |
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|
| 753 |
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|
| 754 |
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|
| 755 |
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|
| 756 |
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|
| 757 |
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|
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| 759 |
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|
| 760 |
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|
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| 762 |
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|
| 763 |
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|
| 764 |
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|
| 765 |
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|
| 766 |
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| 767 |
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|
| 768 |
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|
| 769 |
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|
| 770 |
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|
| 771 |
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|
| 772 |
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|
| 773 |
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|
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|
| 775 |
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|
| 776 |
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|
| 777 |
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|
| 778 |
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| 779 |
+
- config_name: harness_hendrycksTest_world_religions_5
|
| 780 |
+
data_files:
|
| 781 |
+
- split: 2024_03_27T21_09_37.228677
|
| 782 |
+
path:
|
| 783 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T21-09-37.228677.parquet'
|
| 784 |
+
- split: latest
|
| 785 |
+
path:
|
| 786 |
+
- '**/details_harness|hendrycksTest-world_religions|5_2024-03-27T21-09-37.228677.parquet'
|
| 787 |
+
- config_name: harness_truthfulqa_mc_0
|
| 788 |
+
data_files:
|
| 789 |
+
- split: 2024_03_27T21_09_37.228677
|
| 790 |
+
path:
|
| 791 |
+
- '**/details_harness|truthfulqa:mc|0_2024-03-27T21-09-37.228677.parquet'
|
| 792 |
+
- split: latest
|
| 793 |
+
path:
|
| 794 |
+
- '**/details_harness|truthfulqa:mc|0_2024-03-27T21-09-37.228677.parquet'
|
| 795 |
+
- config_name: harness_winogrande_5
|
| 796 |
+
data_files:
|
| 797 |
+
- split: 2024_03_27T21_09_37.228677
|
| 798 |
+
path:
|
| 799 |
+
- '**/details_harness|winogrande|5_2024-03-27T21-09-37.228677.parquet'
|
| 800 |
+
- split: latest
|
| 801 |
+
path:
|
| 802 |
+
- '**/details_harness|winogrande|5_2024-03-27T21-09-37.228677.parquet'
|
| 803 |
+
- config_name: results
|
| 804 |
+
data_files:
|
| 805 |
+
- split: 2024_03_27T21_09_37.228677
|
| 806 |
+
path:
|
| 807 |
+
- results_2024-03-27T21-09-37.228677.parquet
|
| 808 |
+
- split: latest
|
| 809 |
+
path:
|
| 810 |
+
- results_2024-03-27T21-09-37.228677.parquet
|
| 811 |
+
---
|
| 812 |
+
|
| 813 |
+
# Dataset Card for Evaluation run of Weyaxi/Einstein-v5-v0.2-7B
|
| 814 |
+
|
| 815 |
+
<!-- Provide a quick summary of the dataset. -->
|
| 816 |
+
|
| 817 |
+
Dataset automatically created during the evaluation run of model [Weyaxi/Einstein-v5-v0.2-7B](https://huggingface.co/Weyaxi/Einstein-v5-v0.2-7B) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard).
|
| 818 |
+
|
| 819 |
+
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task.
|
| 820 |
+
|
| 821 |
+
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.
|
| 822 |
+
|
| 823 |
+
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)).
|
| 824 |
+
|
| 825 |
+
To load the details from a run, you can for instance do the following:
|
| 826 |
+
```python
|
| 827 |
+
from datasets import load_dataset
|
| 828 |
+
data = load_dataset("open-llm-leaderboard/details_Weyaxi__Einstein-v5-v0.2-7B",
|
| 829 |
+
"harness_winogrande_5",
|
| 830 |
+
split="train")
|
| 831 |
+
```
|
| 832 |
+
|
| 833 |
+
## Latest results
|
| 834 |
+
|
| 835 |
+
These are the [latest results from run 2024-03-27T21:09:37.228677](https://huggingface.co/datasets/open-llm-leaderboard/details_Weyaxi__Einstein-v5-v0.2-7B/blob/main/results_2024-03-27T21-09-37.228677.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):
|
| 836 |
+
|
| 837 |
+
```python
|
| 838 |
+
{
|
| 839 |
+
"all": {
|
| 840 |
+
"acc": 0.612286564752706,
|
| 841 |
+
"acc_stderr": 0.032839983165383065,
|
| 842 |
+
"acc_norm": 0.6135779860343825,
|
| 843 |
+
"acc_norm_stderr": 0.03350956178751591,
|
| 844 |
+
"mc1": 0.3537331701346389,
|
| 845 |
+
"mc1_stderr": 0.016737814358846147,
|
| 846 |
+
"mc2": 0.5259333753586267,
|
| 847 |
+
"mc2_stderr": 0.015070357329952046
|
| 848 |
+
},
|
| 849 |
+
"harness|arc:challenge|25": {
|
| 850 |
+
"acc": 0.5691126279863481,
|
| 851 |
+
"acc_stderr": 0.014471133392642463,
|
| 852 |
+
"acc_norm": 0.6092150170648464,
|
| 853 |
+
"acc_norm_stderr": 0.01425856388051378
|
| 854 |
+
},
|
| 855 |
+
"harness|hellaswag|10": {
|
| 856 |
+
"acc": 0.6148177653853814,
|
| 857 |
+
"acc_stderr": 0.004856437955719861,
|
| 858 |
+
"acc_norm": 0.8098984266082454,
|
| 859 |
+
"acc_norm_stderr": 0.003915792315457802
|
| 860 |
+
},
|
| 861 |
+
"harness|hendrycksTest-abstract_algebra|5": {
|
| 862 |
+
"acc": 0.3,
|
| 863 |
+
"acc_stderr": 0.046056618647183814,
|
| 864 |
+
"acc_norm": 0.3,
|
| 865 |
+
"acc_norm_stderr": 0.046056618647183814
|
| 866 |
+
},
|
| 867 |
+
"harness|hendrycksTest-anatomy|5": {
|
| 868 |
+
"acc": 0.5481481481481482,
|
| 869 |
+
"acc_stderr": 0.042992689054808644,
|
| 870 |
+
"acc_norm": 0.5481481481481482,
|
| 871 |
+
"acc_norm_stderr": 0.042992689054808644
|
| 872 |
+
},
|
| 873 |
+
"harness|hendrycksTest-astronomy|5": {
|
| 874 |
+
"acc": 0.6644736842105263,
|
| 875 |
+
"acc_stderr": 0.03842498559395269,
|
| 876 |
+
"acc_norm": 0.6644736842105263,
|
| 877 |
+
"acc_norm_stderr": 0.03842498559395269
|
| 878 |
+
},
|
| 879 |
+
"harness|hendrycksTest-business_ethics|5": {
|
| 880 |
+
"acc": 0.54,
|
| 881 |
+
"acc_stderr": 0.05009082659620333,
|
| 882 |
+
"acc_norm": 0.54,
|
| 883 |
+
"acc_norm_stderr": 0.05009082659620333
|
| 884 |
+
},
|
| 885 |
+
"harness|hendrycksTest-clinical_knowledge|5": {
|
| 886 |
+
"acc": 0.660377358490566,
|
| 887 |
+
"acc_stderr": 0.029146904747798328,
|
| 888 |
+
"acc_norm": 0.660377358490566,
|
| 889 |
+
"acc_norm_stderr": 0.029146904747798328
|
| 890 |
+
},
|
| 891 |
+
"harness|hendrycksTest-college_biology|5": {
|
| 892 |
+
"acc": 0.7083333333333334,
|
| 893 |
+
"acc_stderr": 0.038009680605548594,
|
| 894 |
+
"acc_norm": 0.7083333333333334,
|
| 895 |
+
"acc_norm_stderr": 0.038009680605548594
|
| 896 |
+
},
|
| 897 |
+
"harness|hendrycksTest-college_chemistry|5": {
|
| 898 |
+
"acc": 0.47,
|
| 899 |
+
"acc_stderr": 0.050161355804659205,
|
| 900 |
+
"acc_norm": 0.47,
|
| 901 |
+
"acc_norm_stderr": 0.050161355804659205
|
| 902 |
+
},
|
| 903 |
+
"harness|hendrycksTest-college_computer_science|5": {
|
| 904 |
+
"acc": 0.49,
|
| 905 |
+
"acc_stderr": 0.05024183937956912,
|
| 906 |
+
"acc_norm": 0.49,
|
| 907 |
+
"acc_norm_stderr": 0.05024183937956912
|
| 908 |
+
},
|
| 909 |
+
"harness|hendrycksTest-college_mathematics|5": {
|
| 910 |
+
"acc": 0.39,
|
| 911 |
+
"acc_stderr": 0.04902071300001975,
|
| 912 |
+
"acc_norm": 0.39,
|
| 913 |
+
"acc_norm_stderr": 0.04902071300001975
|
| 914 |
+
},
|
| 915 |
+
"harness|hendrycksTest-college_medicine|5": {
|
| 916 |
+
"acc": 0.5606936416184971,
|
| 917 |
+
"acc_stderr": 0.037842719328874674,
|
| 918 |
+
"acc_norm": 0.5606936416184971,
|
| 919 |
+
"acc_norm_stderr": 0.037842719328874674
|
| 920 |
+
},
|
| 921 |
+
"harness|hendrycksTest-college_physics|5": {
|
| 922 |
+
"acc": 0.3235294117647059,
|
| 923 |
+
"acc_stderr": 0.04655010411319619,
|
| 924 |
+
"acc_norm": 0.3235294117647059,
|
| 925 |
+
"acc_norm_stderr": 0.04655010411319619
|
| 926 |
+
},
|
| 927 |
+
"harness|hendrycksTest-computer_security|5": {
|
| 928 |
+
"acc": 0.76,
|
| 929 |
+
"acc_stderr": 0.042923469599092816,
|
| 930 |
+
"acc_norm": 0.76,
|
| 931 |
+
"acc_norm_stderr": 0.042923469599092816
|
| 932 |
+
},
|
| 933 |
+
"harness|hendrycksTest-conceptual_physics|5": {
|
| 934 |
+
"acc": 0.5319148936170213,
|
| 935 |
+
"acc_stderr": 0.03261936918467383,
|
| 936 |
+
"acc_norm": 0.5319148936170213,
|
| 937 |
+
"acc_norm_stderr": 0.03261936918467383
|
| 938 |
+
},
|
| 939 |
+
"harness|hendrycksTest-econometrics|5": {
|
| 940 |
+
"acc": 0.4649122807017544,
|
| 941 |
+
"acc_stderr": 0.046920083813689104,
|
| 942 |
+
"acc_norm": 0.4649122807017544,
|
| 943 |
+
"acc_norm_stderr": 0.046920083813689104
|
| 944 |
+
},
|
| 945 |
+
"harness|hendrycksTest-electrical_engineering|5": {
|
| 946 |
+
"acc": 0.5103448275862069,
|
| 947 |
+
"acc_stderr": 0.04165774775728763,
|
| 948 |
+
"acc_norm": 0.5103448275862069,
|
| 949 |
+
"acc_norm_stderr": 0.04165774775728763
|
| 950 |
+
},
|
| 951 |
+
"harness|hendrycksTest-elementary_mathematics|5": {
|
| 952 |
+
"acc": 0.41534391534391535,
|
| 953 |
+
"acc_stderr": 0.025379524910778394,
|
| 954 |
+
"acc_norm": 0.41534391534391535,
|
| 955 |
+
"acc_norm_stderr": 0.025379524910778394
|
| 956 |
+
},
|
| 957 |
+
"harness|hendrycksTest-formal_logic|5": {
|
| 958 |
+
"acc": 0.42857142857142855,
|
| 959 |
+
"acc_stderr": 0.04426266681379909,
|
| 960 |
+
"acc_norm": 0.42857142857142855,
|
| 961 |
+
"acc_norm_stderr": 0.04426266681379909
|
| 962 |
+
},
|
| 963 |
+
"harness|hendrycksTest-global_facts|5": {
|
| 964 |
+
"acc": 0.36,
|
| 965 |
+
"acc_stderr": 0.04824181513244218,
|
| 966 |
+
"acc_norm": 0.36,
|
| 967 |
+
"acc_norm_stderr": 0.04824181513244218
|
| 968 |
+
},
|
| 969 |
+
"harness|hendrycksTest-high_school_biology|5": {
|
| 970 |
+
"acc": 0.635483870967742,
|
| 971 |
+
"acc_stderr": 0.027379871229943245,
|
| 972 |
+
"acc_norm": 0.635483870967742,
|
| 973 |
+
"acc_norm_stderr": 0.027379871229943245
|
| 974 |
+
},
|
| 975 |
+
"harness|hendrycksTest-high_school_chemistry|5": {
|
| 976 |
+
"acc": 0.4729064039408867,
|
| 977 |
+
"acc_stderr": 0.03512819077876106,
|
| 978 |
+
"acc_norm": 0.4729064039408867,
|
| 979 |
+
"acc_norm_stderr": 0.03512819077876106
|
| 980 |
+
},
|
| 981 |
+
"harness|hendrycksTest-high_school_computer_science|5": {
|
| 982 |
+
"acc": 0.67,
|
| 983 |
+
"acc_stderr": 0.047258156262526066,
|
| 984 |
+
"acc_norm": 0.67,
|
| 985 |
+
"acc_norm_stderr": 0.047258156262526066
|
| 986 |
+
},
|
| 987 |
+
"harness|hendrycksTest-high_school_european_history|5": {
|
| 988 |
+
"acc": 0.7757575757575758,
|
| 989 |
+
"acc_stderr": 0.032568666616811015,
|
| 990 |
+
"acc_norm": 0.7757575757575758,
|
| 991 |
+
"acc_norm_stderr": 0.032568666616811015
|
| 992 |
+
},
|
| 993 |
+
"harness|hendrycksTest-high_school_geography|5": {
|
| 994 |
+
"acc": 0.7626262626262627,
|
| 995 |
+
"acc_stderr": 0.03031371053819889,
|
| 996 |
+
"acc_norm": 0.7626262626262627,
|
| 997 |
+
"acc_norm_stderr": 0.03031371053819889
|
| 998 |
+
},
|
| 999 |
+
"harness|hendrycksTest-high_school_government_and_politics|5": {
|
| 1000 |
+
"acc": 0.8549222797927462,
|
| 1001 |
+
"acc_stderr": 0.025416343096306422,
|
| 1002 |
+
"acc_norm": 0.8549222797927462,
|
| 1003 |
+
"acc_norm_stderr": 0.025416343096306422
|
| 1004 |
+
},
|
| 1005 |
+
"harness|hendrycksTest-high_school_macroeconomics|5": {
|
| 1006 |
+
"acc": 0.5974358974358974,
|
| 1007 |
+
"acc_stderr": 0.02486499515976775,
|
| 1008 |
+
"acc_norm": 0.5974358974358974,
|
| 1009 |
+
"acc_norm_stderr": 0.02486499515976775
|
| 1010 |
+
},
|
| 1011 |
+
"harness|hendrycksTest-high_school_mathematics|5": {
|
| 1012 |
+
"acc": 0.3,
|
| 1013 |
+
"acc_stderr": 0.027940457136228416,
|
| 1014 |
+
"acc_norm": 0.3,
|
| 1015 |
+
"acc_norm_stderr": 0.027940457136228416
|
| 1016 |
+
},
|
| 1017 |
+
"harness|hendrycksTest-high_school_microeconomics|5": {
|
| 1018 |
+
"acc": 0.6302521008403361,
|
| 1019 |
+
"acc_stderr": 0.03135709599613591,
|
| 1020 |
+
"acc_norm": 0.6302521008403361,
|
| 1021 |
+
"acc_norm_stderr": 0.03135709599613591
|
| 1022 |
+
},
|
| 1023 |
+
"harness|hendrycksTest-high_school_physics|5": {
|
| 1024 |
+
"acc": 0.31125827814569534,
|
| 1025 |
+
"acc_stderr": 0.03780445850526732,
|
| 1026 |
+
"acc_norm": 0.31125827814569534,
|
| 1027 |
+
"acc_norm_stderr": 0.03780445850526732
|
| 1028 |
+
},
|
| 1029 |
+
"harness|hendrycksTest-high_school_psychology|5": {
|
| 1030 |
+
"acc": 0.7944954128440367,
|
| 1031 |
+
"acc_stderr": 0.017324352325016015,
|
| 1032 |
+
"acc_norm": 0.7944954128440367,
|
| 1033 |
+
"acc_norm_stderr": 0.017324352325016015
|
| 1034 |
+
},
|
| 1035 |
+
"harness|hendrycksTest-high_school_statistics|5": {
|
| 1036 |
+
"acc": 0.44907407407407407,
|
| 1037 |
+
"acc_stderr": 0.03392238405321616,
|
| 1038 |
+
"acc_norm": 0.44907407407407407,
|
| 1039 |
+
"acc_norm_stderr": 0.03392238405321616
|
| 1040 |
+
},
|
| 1041 |
+
"harness|hendrycksTest-high_school_us_history|5": {
|
| 1042 |
+
"acc": 0.8235294117647058,
|
| 1043 |
+
"acc_stderr": 0.026756401538078966,
|
| 1044 |
+
"acc_norm": 0.8235294117647058,
|
| 1045 |
+
"acc_norm_stderr": 0.026756401538078966
|
| 1046 |
+
},
|
| 1047 |
+
"harness|hendrycksTest-high_school_world_history|5": {
|
| 1048 |
+
"acc": 0.7848101265822784,
|
| 1049 |
+
"acc_stderr": 0.026750826994676187,
|
| 1050 |
+
"acc_norm": 0.7848101265822784,
|
| 1051 |
+
"acc_norm_stderr": 0.026750826994676187
|
| 1052 |
+
},
|
| 1053 |
+
"harness|hendrycksTest-human_aging|5": {
|
| 1054 |
+
"acc": 0.6547085201793722,
|
| 1055 |
+
"acc_stderr": 0.03191100192835794,
|
| 1056 |
+
"acc_norm": 0.6547085201793722,
|
| 1057 |
+
"acc_norm_stderr": 0.03191100192835794
|
| 1058 |
+
},
|
| 1059 |
+
"harness|hendrycksTest-human_sexuality|5": {
|
| 1060 |
+
"acc": 0.7251908396946565,
|
| 1061 |
+
"acc_stderr": 0.03915345408847836,
|
| 1062 |
+
"acc_norm": 0.7251908396946565,
|
| 1063 |
+
"acc_norm_stderr": 0.03915345408847836
|
| 1064 |
+
},
|
| 1065 |
+
"harness|hendrycksTest-international_law|5": {
|
| 1066 |
+
"acc": 0.7603305785123967,
|
| 1067 |
+
"acc_stderr": 0.03896878985070416,
|
| 1068 |
+
"acc_norm": 0.7603305785123967,
|
| 1069 |
+
"acc_norm_stderr": 0.03896878985070416
|
| 1070 |
+
},
|
| 1071 |
+
"harness|hendrycksTest-jurisprudence|5": {
|
| 1072 |
+
"acc": 0.7870370370370371,
|
| 1073 |
+
"acc_stderr": 0.0395783547198098,
|
| 1074 |
+
"acc_norm": 0.7870370370370371,
|
| 1075 |
+
"acc_norm_stderr": 0.0395783547198098
|
| 1076 |
+
},
|
| 1077 |
+
"harness|hendrycksTest-logical_fallacies|5": {
|
| 1078 |
+
"acc": 0.7239263803680982,
|
| 1079 |
+
"acc_stderr": 0.03512385283705048,
|
| 1080 |
+
"acc_norm": 0.7239263803680982,
|
| 1081 |
+
"acc_norm_stderr": 0.03512385283705048
|
| 1082 |
+
},
|
| 1083 |
+
"harness|hendrycksTest-machine_learning|5": {
|
| 1084 |
+
"acc": 0.4642857142857143,
|
| 1085 |
+
"acc_stderr": 0.04733667890053756,
|
| 1086 |
+
"acc_norm": 0.4642857142857143,
|
| 1087 |
+
"acc_norm_stderr": 0.04733667890053756
|
| 1088 |
+
},
|
| 1089 |
+
"harness|hendrycksTest-management|5": {
|
| 1090 |
+
"acc": 0.7864077669902912,
|
| 1091 |
+
"acc_stderr": 0.040580420156460344,
|
| 1092 |
+
"acc_norm": 0.7864077669902912,
|
| 1093 |
+
"acc_norm_stderr": 0.040580420156460344
|
| 1094 |
+
},
|
| 1095 |
+
"harness|hendrycksTest-marketing|5": {
|
| 1096 |
+
"acc": 0.8547008547008547,
|
| 1097 |
+
"acc_stderr": 0.02308663508684141,
|
| 1098 |
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"acc_norm": 0.8547008547008547,
|
| 1099 |
+
"acc_norm_stderr": 0.02308663508684141
|
| 1100 |
+
},
|
| 1101 |
+
"harness|hendrycksTest-medical_genetics|5": {
|
| 1102 |
+
"acc": 0.7,
|
| 1103 |
+
"acc_stderr": 0.046056618647183814,
|
| 1104 |
+
"acc_norm": 0.7,
|
| 1105 |
+
"acc_norm_stderr": 0.046056618647183814
|
| 1106 |
+
},
|
| 1107 |
+
"harness|hendrycksTest-miscellaneous|5": {
|
| 1108 |
+
"acc": 0.7931034482758621,
|
| 1109 |
+
"acc_stderr": 0.014485656041669178,
|
| 1110 |
+
"acc_norm": 0.7931034482758621,
|
| 1111 |
+
"acc_norm_stderr": 0.014485656041669178
|
| 1112 |
+
},
|
| 1113 |
+
"harness|hendrycksTest-moral_disputes|5": {
|
| 1114 |
+
"acc": 0.6965317919075145,
|
| 1115 |
+
"acc_stderr": 0.02475241196091721,
|
| 1116 |
+
"acc_norm": 0.6965317919075145,
|
| 1117 |
+
"acc_norm_stderr": 0.02475241196091721
|
| 1118 |
+
},
|
| 1119 |
+
"harness|hendrycksTest-moral_scenarios|5": {
|
| 1120 |
+
"acc": 0.2759776536312849,
|
| 1121 |
+
"acc_stderr": 0.014950103002475358,
|
| 1122 |
+
"acc_norm": 0.2759776536312849,
|
| 1123 |
+
"acc_norm_stderr": 0.014950103002475358
|
| 1124 |
+
},
|
| 1125 |
+
"harness|hendrycksTest-nutrition|5": {
|
| 1126 |
+
"acc": 0.7254901960784313,
|
| 1127 |
+
"acc_stderr": 0.025553169991826517,
|
| 1128 |
+
"acc_norm": 0.7254901960784313,
|
| 1129 |
+
"acc_norm_stderr": 0.025553169991826517
|
| 1130 |
+
},
|
| 1131 |
+
"harness|hendrycksTest-philosophy|5": {
|
| 1132 |
+
"acc": 0.6913183279742765,
|
| 1133 |
+
"acc_stderr": 0.026236965881153266,
|
| 1134 |
+
"acc_norm": 0.6913183279742765,
|
| 1135 |
+
"acc_norm_stderr": 0.026236965881153266
|
| 1136 |
+
},
|
| 1137 |
+
"harness|hendrycksTest-prehistory|5": {
|
| 1138 |
+
"acc": 0.7129629629629629,
|
| 1139 |
+
"acc_stderr": 0.02517104191530968,
|
| 1140 |
+
"acc_norm": 0.7129629629629629,
|
| 1141 |
+
"acc_norm_stderr": 0.02517104191530968
|
| 1142 |
+
},
|
| 1143 |
+
"harness|hendrycksTest-professional_accounting|5": {
|
| 1144 |
+
"acc": 0.44680851063829785,
|
| 1145 |
+
"acc_stderr": 0.029658235097666907,
|
| 1146 |
+
"acc_norm": 0.44680851063829785,
|
| 1147 |
+
"acc_norm_stderr": 0.029658235097666907
|
| 1148 |
+
},
|
| 1149 |
+
"harness|hendrycksTest-professional_law|5": {
|
| 1150 |
+
"acc": 0.4621903520208605,
|
| 1151 |
+
"acc_stderr": 0.012733671880342507,
|
| 1152 |
+
"acc_norm": 0.4621903520208605,
|
| 1153 |
+
"acc_norm_stderr": 0.012733671880342507
|
| 1154 |
+
},
|
| 1155 |
+
"harness|hendrycksTest-professional_medicine|5": {
|
| 1156 |
+
"acc": 0.5845588235294118,
|
| 1157 |
+
"acc_stderr": 0.029935342707877746,
|
| 1158 |
+
"acc_norm": 0.5845588235294118,
|
| 1159 |
+
"acc_norm_stderr": 0.029935342707877746
|
| 1160 |
+
},
|
| 1161 |
+
"harness|hendrycksTest-professional_psychology|5": {
|
| 1162 |
+
"acc": 0.6568627450980392,
|
| 1163 |
+
"acc_stderr": 0.019206606848825362,
|
| 1164 |
+
"acc_norm": 0.6568627450980392,
|
| 1165 |
+
"acc_norm_stderr": 0.019206606848825362
|
| 1166 |
+
},
|
| 1167 |
+
"harness|hendrycksTest-public_relations|5": {
|
| 1168 |
+
"acc": 0.6363636363636364,
|
| 1169 |
+
"acc_stderr": 0.04607582090719976,
|
| 1170 |
+
"acc_norm": 0.6363636363636364,
|
| 1171 |
+
"acc_norm_stderr": 0.04607582090719976
|
| 1172 |
+
},
|
| 1173 |
+
"harness|hendrycksTest-security_studies|5": {
|
| 1174 |
+
"acc": 0.7346938775510204,
|
| 1175 |
+
"acc_stderr": 0.028263889943784593,
|
| 1176 |
+
"acc_norm": 0.7346938775510204,
|
| 1177 |
+
"acc_norm_stderr": 0.028263889943784593
|
| 1178 |
+
},
|
| 1179 |
+
"harness|hendrycksTest-sociology|5": {
|
| 1180 |
+
"acc": 0.7860696517412935,
|
| 1181 |
+
"acc_stderr": 0.028996909693328913,
|
| 1182 |
+
"acc_norm": 0.7860696517412935,
|
| 1183 |
+
"acc_norm_stderr": 0.028996909693328913
|
| 1184 |
+
},
|
| 1185 |
+
"harness|hendrycksTest-us_foreign_policy|5": {
|
| 1186 |
+
"acc": 0.85,
|
| 1187 |
+
"acc_stderr": 0.03588702812826369,
|
| 1188 |
+
"acc_norm": 0.85,
|
| 1189 |
+
"acc_norm_stderr": 0.03588702812826369
|
| 1190 |
+
},
|
| 1191 |
+
"harness|hendrycksTest-virology|5": {
|
| 1192 |
+
"acc": 0.4879518072289157,
|
| 1193 |
+
"acc_stderr": 0.03891364495835821,
|
| 1194 |
+
"acc_norm": 0.4879518072289157,
|
| 1195 |
+
"acc_norm_stderr": 0.03891364495835821
|
| 1196 |
+
},
|
| 1197 |
+
"harness|hendrycksTest-world_religions|5": {
|
| 1198 |
+
"acc": 0.7953216374269005,
|
| 1199 |
+
"acc_stderr": 0.030944459778533207,
|
| 1200 |
+
"acc_norm": 0.7953216374269005,
|
| 1201 |
+
"acc_norm_stderr": 0.030944459778533207
|
| 1202 |
+
},
|
| 1203 |
+
"harness|truthfulqa:mc|0": {
|
| 1204 |
+
"mc1": 0.3537331701346389,
|
| 1205 |
+
"mc1_stderr": 0.016737814358846147,
|
| 1206 |
+
"mc2": 0.5259333753586267,
|
| 1207 |
+
"mc2_stderr": 0.015070357329952046
|
| 1208 |
+
},
|
| 1209 |
+
"harness|winogrande|5": {
|
| 1210 |
+
"acc": 0.7868981846882399,
|
| 1211 |
+
"acc_stderr": 0.011508957690722769
|
| 1212 |
+
},
|
| 1213 |
+
"harness|gsm8k|5": {
|
| 1214 |
+
"acc": 0.5966641394996209,
|
| 1215 |
+
"acc_stderr": 0.01351265478181471
|
| 1216 |
+
}
|
| 1217 |
+
}
|
| 1218 |
+
```
|
| 1219 |
+
|
| 1220 |
+
## Dataset Details
|
| 1221 |
+
|
| 1222 |
+
### Dataset Description
|
| 1223 |
+
|
| 1224 |
+
<!-- Provide a longer summary of what this dataset is. -->
|
| 1225 |
+
|
| 1226 |
+
|
| 1227 |
+
|
| 1228 |
+
- **Curated by:** [More Information Needed]
|
| 1229 |
+
- **Funded by [optional]:** [More Information Needed]
|
| 1230 |
+
- **Shared by [optional]:** [More Information Needed]
|
| 1231 |
+
- **Language(s) (NLP):** [More Information Needed]
|
| 1232 |
+
- **License:** [More Information Needed]
|
| 1233 |
+
|
| 1234 |
+
### Dataset Sources [optional]
|
| 1235 |
+
|
| 1236 |
+
<!-- Provide the basic links for the dataset. -->
|
| 1237 |
+
|
| 1238 |
+
- **Repository:** [More Information Needed]
|
| 1239 |
+
- **Paper [optional]:** [More Information Needed]
|
| 1240 |
+
- **Demo [optional]:** [More Information Needed]
|
| 1241 |
+
|
| 1242 |
+
## Uses
|
| 1243 |
+
|
| 1244 |
+
<!-- Address questions around how the dataset is intended to be used. -->
|
| 1245 |
+
|
| 1246 |
+
### Direct Use
|
| 1247 |
+
|
| 1248 |
+
<!-- This section describes suitable use cases for the dataset. -->
|
| 1249 |
+
|
| 1250 |
+
[More Information Needed]
|
| 1251 |
+
|
| 1252 |
+
### Out-of-Scope Use
|
| 1253 |
+
|
| 1254 |
+
<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->
|
| 1255 |
+
|
| 1256 |
+
[More Information Needed]
|
| 1257 |
+
|
| 1258 |
+
## Dataset Structure
|
| 1259 |
+
|
| 1260 |
+
<!-- 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. -->
|
| 1261 |
+
|
| 1262 |
+
[More Information Needed]
|
| 1263 |
+
|
| 1264 |
+
## Dataset Creation
|
| 1265 |
+
|
| 1266 |
+
### Curation Rationale
|
| 1267 |
+
|
| 1268 |
+
<!-- Motivation for the creation of this dataset. -->
|
| 1269 |
+
|
| 1270 |
+
[More Information Needed]
|
| 1271 |
+
|
| 1272 |
+
### Source Data
|
| 1273 |
+
|
| 1274 |
+
<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
|
| 1275 |
+
|
| 1276 |
+
#### Data Collection and Processing
|
| 1277 |
+
|
| 1278 |
+
<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->
|
| 1279 |
+
|
| 1280 |
+
[More Information Needed]
|
| 1281 |
+
|
| 1282 |
+
#### Who are the source data producers?
|
| 1283 |
+
|
| 1284 |
+
<!-- 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. -->
|
| 1285 |
+
|
| 1286 |
+
[More Information Needed]
|
| 1287 |
+
|
| 1288 |
+
### Annotations [optional]
|
| 1289 |
+
|
| 1290 |
+
<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->
|
| 1291 |
+
|
| 1292 |
+
#### Annotation process
|
| 1293 |
+
|
| 1294 |
+
<!-- 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. -->
|
| 1295 |
+
|
| 1296 |
+
[More Information Needed]
|
| 1297 |
+
|
| 1298 |
+
#### Who are the annotators?
|
| 1299 |
+
|
| 1300 |
+
<!-- This section describes the people or systems who created the annotations. -->
|
| 1301 |
+
|
| 1302 |
+
[More Information Needed]
|
| 1303 |
+
|
| 1304 |
+
#### Personal and Sensitive Information
|
| 1305 |
+
|
| 1306 |
+
<!-- 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. -->
|
| 1307 |
+
|
| 1308 |
+
[More Information Needed]
|
| 1309 |
+
|
| 1310 |
+
## Bias, Risks, and Limitations
|
| 1311 |
+
|
| 1312 |
+
<!-- This section is meant to convey both technical and sociotechnical limitations. -->
|
| 1313 |
+
|
| 1314 |
+
[More Information Needed]
|
| 1315 |
+
|
| 1316 |
+
### Recommendations
|
| 1317 |
+
|
| 1318 |
+
<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
|
| 1319 |
+
|
| 1320 |
+
Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.
|
| 1321 |
+
|
| 1322 |
+
## Citation [optional]
|
| 1323 |
+
|
| 1324 |
+
<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->
|
| 1325 |
+
|
| 1326 |
+
**BibTeX:**
|
| 1327 |
+
|
| 1328 |
+
[More Information Needed]
|
| 1329 |
+
|
| 1330 |
+
**APA:**
|
| 1331 |
+
|
| 1332 |
+
[More Information Needed]
|
| 1333 |
+
|
| 1334 |
+
## Glossary [optional]
|
| 1335 |
+
|
| 1336 |
+
<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. -->
|
| 1337 |
+
|
| 1338 |
+
[More Information Needed]
|
| 1339 |
+
|
| 1340 |
+
## More Information [optional]
|
| 1341 |
+
|
| 1342 |
+
[More Information Needed]
|
| 1343 |
+
|
| 1344 |
+
## Dataset Card Authors [optional]
|
| 1345 |
+
|
| 1346 |
+
[More Information Needed]
|
| 1347 |
+
|
| 1348 |
+
## Dataset Card Contact
|
| 1349 |
+
|
| 1350 |
+
[More Information Needed]
|