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--- |
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pretty_name: Evaluation run of indischepartij/OpenMia-Indo-Mistral-7b-v3-refined |
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dataset_summary: "Dataset automatically created during the evaluation run of model\ |
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\ [indischepartij/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3-refined)\ |
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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_indischepartij__OpenMia-Indo-Mistral-7b-v3-refined\"\ |
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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 2024-02-05T07:17:24.697764](https://huggingface.co/datasets/open-llm-leaderboard/details_indischepartij__OpenMia-Indo-Mistral-7b-v3-refined/blob/main/results_2024-02-05T07-17-24.697764.json)(note\ |
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\ that their might be results for other tasks in the repos if successive evals didn't\ |
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\ cover the same tasks. You find each in the results and the \"latest\" split for\ |
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\ each eval):\n\n```python\n{\n \"all\": {\n \"acc\": 0.6291464441848997,\n\ |
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\ \"acc_stderr\": 0.0325052901080867,\n \"acc_norm\": 0.6303599490256852,\n\ |
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\ \"acc_norm_stderr\": 0.03317036353110983,\n \"mc1\": 0.3769889840881273,\n\ |
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\ \"mc1_stderr\": 0.01696551757893035,\n \"mc2\": 0.5394835979252358,\n\ |
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\ \"mc2_stderr\": 0.015320518165942699\n },\n \"harness|arc:challenge|25\"\ |
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: {\n \"acc\": 0.6049488054607508,\n \"acc_stderr\": 0.014285898292938167,\n\ |
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\ \"acc_norm\": 0.64419795221843,\n \"acc_norm_stderr\": 0.01399057113791876\n\ |
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|
\ },\n \"harness|hellaswag|10\": {\n \"acc\": 0.640211113324039,\n\ |
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|
\ \"acc_stderr\": 0.004789575163418651,\n \"acc_norm\": 0.842162915753834,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0036384306206139337\n },\n \"harness|hendrycksTest-abstract_algebra|5\"\ |
|
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: {\n \"acc\": 0.3,\n \"acc_stderr\": 0.046056618647183814,\n \ |
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\ \"acc_norm\": 0.3,\n \"acc_norm_stderr\": 0.046056618647183814\n \ |
|
|
\ },\n \"harness|hendrycksTest-anatomy|5\": {\n \"acc\": 0.6296296296296297,\n\ |
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|
\ \"acc_stderr\": 0.041716541613545426,\n \"acc_norm\": 0.6296296296296297,\n\ |
|
|
\ \"acc_norm_stderr\": 0.041716541613545426\n },\n \"harness|hendrycksTest-astronomy|5\"\ |
|
|
: {\n \"acc\": 0.6907894736842105,\n \"acc_stderr\": 0.037610708698674805,\n\ |
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\ \"acc_norm\": 0.6907894736842105,\n \"acc_norm_stderr\": 0.037610708698674805\n\ |
|
|
\ },\n \"harness|hendrycksTest-business_ethics|5\": {\n \"acc\": 0.57,\n\ |
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|
\ \"acc_stderr\": 0.049756985195624284,\n \"acc_norm\": 0.57,\n \ |
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|
\ \"acc_norm_stderr\": 0.049756985195624284\n },\n \"harness|hendrycksTest-clinical_knowledge|5\"\ |
|
|
: {\n \"acc\": 0.7056603773584905,\n \"acc_stderr\": 0.02804918631569525,\n\ |
|
|
\ \"acc_norm\": 0.7056603773584905,\n \"acc_norm_stderr\": 0.02804918631569525\n\ |
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\ },\n \"harness|hendrycksTest-college_biology|5\": {\n \"acc\": 0.7222222222222222,\n\ |
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|
\ \"acc_stderr\": 0.037455547914624555,\n \"acc_norm\": 0.7222222222222222,\n\ |
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|
\ \"acc_norm_stderr\": 0.037455547914624555\n },\n \"harness|hendrycksTest-college_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.4,\n \"acc_stderr\": 0.04923659639173309,\n \ |
|
|
\ \"acc_norm\": 0.4,\n \"acc_norm_stderr\": 0.04923659639173309\n },\n\ |
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|
\ \"harness|hendrycksTest-college_computer_science|5\": {\n \"acc\": 0.51,\n\ |
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|
\ \"acc_stderr\": 0.05024183937956912,\n \"acc_norm\": 0.51,\n \ |
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|
\ \"acc_norm_stderr\": 0.05024183937956912\n },\n \"harness|hendrycksTest-college_mathematics|5\"\ |
|
|
: {\n \"acc\": 0.35,\n \"acc_stderr\": 0.047937248544110196,\n \ |
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|
\ \"acc_norm\": 0.35,\n \"acc_norm_stderr\": 0.047937248544110196\n \ |
|
|
\ },\n \"harness|hendrycksTest-college_medicine|5\": {\n \"acc\": 0.630057803468208,\n\ |
|
|
\ \"acc_stderr\": 0.0368122963339432,\n \"acc_norm\": 0.630057803468208,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0368122963339432\n },\n \"harness|hendrycksTest-college_physics|5\"\ |
|
|
: {\n \"acc\": 0.4215686274509804,\n \"acc_stderr\": 0.04913595201274498,\n\ |
|
|
\ \"acc_norm\": 0.4215686274509804,\n \"acc_norm_stderr\": 0.04913595201274498\n\ |
|
|
\ },\n \"harness|hendrycksTest-computer_security|5\": {\n \"acc\":\ |
|
|
\ 0.77,\n \"acc_stderr\": 0.04229525846816507,\n \"acc_norm\": 0.77,\n\ |
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|
\ \"acc_norm_stderr\": 0.04229525846816507\n },\n \"harness|hendrycksTest-conceptual_physics|5\"\ |
|
|
: {\n \"acc\": 0.5276595744680851,\n \"acc_stderr\": 0.03263597118409769,\n\ |
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|
\ \"acc_norm\": 0.5276595744680851,\n \"acc_norm_stderr\": 0.03263597118409769\n\ |
|
|
\ },\n \"harness|hendrycksTest-econometrics|5\": {\n \"acc\": 0.4649122807017544,\n\ |
|
|
\ \"acc_stderr\": 0.046920083813689104,\n \"acc_norm\": 0.4649122807017544,\n\ |
|
|
\ \"acc_norm_stderr\": 0.046920083813689104\n },\n \"harness|hendrycksTest-electrical_engineering|5\"\ |
|
|
: {\n \"acc\": 0.5310344827586206,\n \"acc_stderr\": 0.04158632762097828,\n\ |
|
|
\ \"acc_norm\": 0.5310344827586206,\n \"acc_norm_stderr\": 0.04158632762097828\n\ |
|
|
\ },\n \"harness|hendrycksTest-elementary_mathematics|5\": {\n \"acc\"\ |
|
|
: 0.373015873015873,\n \"acc_stderr\": 0.02490699045899257,\n \"acc_norm\"\ |
|
|
: 0.373015873015873,\n \"acc_norm_stderr\": 0.02490699045899257\n },\n\ |
|
|
\ \"harness|hendrycksTest-formal_logic|5\": {\n \"acc\": 0.4523809523809524,\n\ |
|
|
\ \"acc_stderr\": 0.044518079590553275,\n \"acc_norm\": 0.4523809523809524,\n\ |
|
|
\ \"acc_norm_stderr\": 0.044518079590553275\n },\n \"harness|hendrycksTest-global_facts|5\"\ |
|
|
: {\n \"acc\": 0.36,\n \"acc_stderr\": 0.04824181513244218,\n \ |
|
|
\ \"acc_norm\": 0.36,\n \"acc_norm_stderr\": 0.04824181513244218\n \ |
|
|
\ },\n \"harness|hendrycksTest-high_school_biology|5\": {\n \"acc\": 0.7741935483870968,\n\ |
|
|
\ \"acc_stderr\": 0.023785577884181012,\n \"acc_norm\": 0.7741935483870968,\n\ |
|
|
\ \"acc_norm_stderr\": 0.023785577884181012\n },\n \"harness|hendrycksTest-high_school_chemistry|5\"\ |
|
|
: {\n \"acc\": 0.5024630541871922,\n \"acc_stderr\": 0.035179450386910616,\n\ |
|
|
\ \"acc_norm\": 0.5024630541871922,\n \"acc_norm_stderr\": 0.035179450386910616\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_computer_science|5\": {\n \ |
|
|
\ \"acc\": 0.67,\n \"acc_stderr\": 0.047258156262526094,\n \"acc_norm\"\ |
|
|
: 0.67,\n \"acc_norm_stderr\": 0.047258156262526094\n },\n \"harness|hendrycksTest-high_school_european_history|5\"\ |
|
|
: {\n \"acc\": 0.7575757575757576,\n \"acc_stderr\": 0.03346409881055953,\n\ |
|
|
\ \"acc_norm\": 0.7575757575757576,\n \"acc_norm_stderr\": 0.03346409881055953\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_geography|5\": {\n \"acc\"\ |
|
|
: 0.797979797979798,\n \"acc_stderr\": 0.02860620428922986,\n \"acc_norm\"\ |
|
|
: 0.797979797979798,\n \"acc_norm_stderr\": 0.02860620428922986\n },\n\ |
|
|
\ \"harness|hendrycksTest-high_school_government_and_politics|5\": {\n \ |
|
|
\ \"acc\": 0.8601036269430051,\n \"acc_stderr\": 0.025033870583015178,\n\ |
|
|
\ \"acc_norm\": 0.8601036269430051,\n \"acc_norm_stderr\": 0.025033870583015178\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_macroeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6487179487179487,\n \"acc_stderr\": 0.024203665177902803,\n\ |
|
|
\ \"acc_norm\": 0.6487179487179487,\n \"acc_norm_stderr\": 0.024203665177902803\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_mathematics|5\": {\n \"\ |
|
|
acc\": 0.34444444444444444,\n \"acc_stderr\": 0.02897264888484427,\n \ |
|
|
\ \"acc_norm\": 0.34444444444444444,\n \"acc_norm_stderr\": 0.02897264888484427\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_microeconomics|5\": {\n \ |
|
|
\ \"acc\": 0.6512605042016807,\n \"acc_stderr\": 0.03095663632856655,\n \ |
|
|
\ \"acc_norm\": 0.6512605042016807,\n \"acc_norm_stderr\": 0.03095663632856655\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_physics|5\": {\n \"acc\"\ |
|
|
: 0.33774834437086093,\n \"acc_stderr\": 0.03861557546255169,\n \"\ |
|
|
acc_norm\": 0.33774834437086093,\n \"acc_norm_stderr\": 0.03861557546255169\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_psychology|5\": {\n \"acc\"\ |
|
|
: 0.8146788990825689,\n \"acc_stderr\": 0.016659279700295827,\n \"\ |
|
|
acc_norm\": 0.8146788990825689,\n \"acc_norm_stderr\": 0.016659279700295827\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_statistics|5\": {\n \"acc\"\ |
|
|
: 0.49537037037037035,\n \"acc_stderr\": 0.03409825519163572,\n \"\ |
|
|
acc_norm\": 0.49537037037037035,\n \"acc_norm_stderr\": 0.03409825519163572\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_us_history|5\": {\n \"acc\"\ |
|
|
: 0.803921568627451,\n \"acc_stderr\": 0.027865942286639325,\n \"\ |
|
|
acc_norm\": 0.803921568627451,\n \"acc_norm_stderr\": 0.027865942286639325\n\ |
|
|
\ },\n \"harness|hendrycksTest-high_school_world_history|5\": {\n \"\ |
|
|
acc\": 0.7932489451476793,\n \"acc_stderr\": 0.0263616516683891,\n \ |
|
|
\ \"acc_norm\": 0.7932489451476793,\n \"acc_norm_stderr\": 0.0263616516683891\n\ |
|
|
\ },\n \"harness|hendrycksTest-human_aging|5\": {\n \"acc\": 0.7040358744394619,\n\ |
|
|
\ \"acc_stderr\": 0.030636591348699803,\n \"acc_norm\": 0.7040358744394619,\n\ |
|
|
\ \"acc_norm_stderr\": 0.030636591348699803\n },\n \"harness|hendrycksTest-human_sexuality|5\"\ |
|
|
: {\n \"acc\": 0.816793893129771,\n \"acc_stderr\": 0.03392770926494733,\n\ |
|
|
\ \"acc_norm\": 0.816793893129771,\n \"acc_norm_stderr\": 0.03392770926494733\n\ |
|
|
\ },\n \"harness|hendrycksTest-international_law|5\": {\n \"acc\":\ |
|
|
\ 0.7272727272727273,\n \"acc_stderr\": 0.040655781409087044,\n \"\ |
|
|
acc_norm\": 0.7272727272727273,\n \"acc_norm_stderr\": 0.040655781409087044\n\ |
|
|
\ },\n \"harness|hendrycksTest-jurisprudence|5\": {\n \"acc\": 0.7592592592592593,\n\ |
|
|
\ \"acc_stderr\": 0.04133119440243838,\n \"acc_norm\": 0.7592592592592593,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04133119440243838\n },\n \"harness|hendrycksTest-logical_fallacies|5\"\ |
|
|
: {\n \"acc\": 0.7607361963190185,\n \"acc_stderr\": 0.033519538795212696,\n\ |
|
|
\ \"acc_norm\": 0.7607361963190185,\n \"acc_norm_stderr\": 0.033519538795212696\n\ |
|
|
\ },\n \"harness|hendrycksTest-machine_learning|5\": {\n \"acc\": 0.42857142857142855,\n\ |
|
|
\ \"acc_stderr\": 0.04697113923010212,\n \"acc_norm\": 0.42857142857142855,\n\ |
|
|
\ \"acc_norm_stderr\": 0.04697113923010212\n },\n \"harness|hendrycksTest-management|5\"\ |
|
|
: {\n \"acc\": 0.7961165048543689,\n \"acc_stderr\": 0.0398913985953177,\n\ |
|
|
\ \"acc_norm\": 0.7961165048543689,\n \"acc_norm_stderr\": 0.0398913985953177\n\ |
|
|
\ },\n \"harness|hendrycksTest-marketing|5\": {\n \"acc\": 0.8888888888888888,\n\ |
|
|
\ \"acc_stderr\": 0.020588491316092375,\n \"acc_norm\": 0.8888888888888888,\n\ |
|
|
\ \"acc_norm_stderr\": 0.020588491316092375\n },\n \"harness|hendrycksTest-medical_genetics|5\"\ |
|
|
: {\n \"acc\": 0.71,\n \"acc_stderr\": 0.045604802157206845,\n \ |
|
|
\ \"acc_norm\": 0.71,\n \"acc_norm_stderr\": 0.045604802157206845\n \ |
|
|
\ },\n \"harness|hendrycksTest-miscellaneous|5\": {\n \"acc\": 0.8160919540229885,\n\ |
|
|
\ \"acc_stderr\": 0.013853724170922533,\n \"acc_norm\": 0.8160919540229885,\n\ |
|
|
\ \"acc_norm_stderr\": 0.013853724170922533\n },\n \"harness|hendrycksTest-moral_disputes|5\"\ |
|
|
: {\n \"acc\": 0.7109826589595376,\n \"acc_stderr\": 0.02440517393578323,\n\ |
|
|
\ \"acc_norm\": 0.7109826589595376,\n \"acc_norm_stderr\": 0.02440517393578323\n\ |
|
|
\ },\n \"harness|hendrycksTest-moral_scenarios|5\": {\n \"acc\": 0.26256983240223464,\n\ |
|
|
\ \"acc_stderr\": 0.014716824273017765,\n \"acc_norm\": 0.26256983240223464,\n\ |
|
|
\ \"acc_norm_stderr\": 0.014716824273017765\n },\n \"harness|hendrycksTest-nutrition|5\"\ |
|
|
: {\n \"acc\": 0.7026143790849673,\n \"acc_stderr\": 0.02617390850671858,\n\ |
|
|
\ \"acc_norm\": 0.7026143790849673,\n \"acc_norm_stderr\": 0.02617390850671858\n\ |
|
|
\ },\n \"harness|hendrycksTest-philosophy|5\": {\n \"acc\": 0.7138263665594855,\n\ |
|
|
\ \"acc_stderr\": 0.025670259242188933,\n \"acc_norm\": 0.7138263665594855,\n\ |
|
|
\ \"acc_norm_stderr\": 0.025670259242188933\n },\n \"harness|hendrycksTest-prehistory|5\"\ |
|
|
: {\n \"acc\": 0.6944444444444444,\n \"acc_stderr\": 0.025630824975621355,\n\ |
|
|
\ \"acc_norm\": 0.6944444444444444,\n \"acc_norm_stderr\": 0.025630824975621355\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_accounting|5\": {\n \"\ |
|
|
acc\": 0.46808510638297873,\n \"acc_stderr\": 0.029766675075873862,\n \ |
|
|
\ \"acc_norm\": 0.46808510638297873,\n \"acc_norm_stderr\": 0.029766675075873862\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_law|5\": {\n \"acc\": 0.4654498044328553,\n\ |
|
|
\ \"acc_stderr\": 0.012739711554045704,\n \"acc_norm\": 0.4654498044328553,\n\ |
|
|
\ \"acc_norm_stderr\": 0.012739711554045704\n },\n \"harness|hendrycksTest-professional_medicine|5\"\ |
|
|
: {\n \"acc\": 0.6397058823529411,\n \"acc_stderr\": 0.029163128570670733,\n\ |
|
|
\ \"acc_norm\": 0.6397058823529411,\n \"acc_norm_stderr\": 0.029163128570670733\n\ |
|
|
\ },\n \"harness|hendrycksTest-professional_psychology|5\": {\n \"\ |
|
|
acc\": 0.6339869281045751,\n \"acc_stderr\": 0.019488025745529675,\n \ |
|
|
\ \"acc_norm\": 0.6339869281045751,\n \"acc_norm_stderr\": 0.019488025745529675\n\ |
|
|
\ },\n \"harness|hendrycksTest-public_relations|5\": {\n \"acc\": 0.6727272727272727,\n\ |
|
|
\ \"acc_stderr\": 0.0449429086625209,\n \"acc_norm\": 0.6727272727272727,\n\ |
|
|
\ \"acc_norm_stderr\": 0.0449429086625209\n },\n \"harness|hendrycksTest-security_studies|5\"\ |
|
|
: {\n \"acc\": 0.7183673469387755,\n \"acc_stderr\": 0.02879518557429129,\n\ |
|
|
\ \"acc_norm\": 0.7183673469387755,\n \"acc_norm_stderr\": 0.02879518557429129\n\ |
|
|
\ },\n \"harness|hendrycksTest-sociology|5\": {\n \"acc\": 0.8308457711442786,\n\ |
|
|
\ \"acc_stderr\": 0.026508590656233268,\n \"acc_norm\": 0.8308457711442786,\n\ |
|
|
\ \"acc_norm_stderr\": 0.026508590656233268\n },\n \"harness|hendrycksTest-us_foreign_policy|5\"\ |
|
|
: {\n \"acc\": 0.81,\n \"acc_stderr\": 0.03942772444036625,\n \ |
|
|
\ \"acc_norm\": 0.81,\n \"acc_norm_stderr\": 0.03942772444036625\n \ |
|
|
\ },\n \"harness|hendrycksTest-virology|5\": {\n \"acc\": 0.5,\n \ |
|
|
\ \"acc_stderr\": 0.03892494720807614,\n \"acc_norm\": 0.5,\n \"\ |
|
|
acc_norm_stderr\": 0.03892494720807614\n },\n \"harness|hendrycksTest-world_religions|5\"\ |
|
|
: {\n \"acc\": 0.8128654970760234,\n \"acc_stderr\": 0.029913127232368043,\n\ |
|
|
\ \"acc_norm\": 0.8128654970760234,\n \"acc_norm_stderr\": 0.029913127232368043\n\ |
|
|
\ },\n \"harness|truthfulqa:mc|0\": {\n \"mc1\": 0.3769889840881273,\n\ |
|
|
\ \"mc1_stderr\": 0.01696551757893035,\n \"mc2\": 0.5394835979252358,\n\ |
|
|
\ \"mc2_stderr\": 0.015320518165942699\n },\n \"harness|winogrande|5\"\ |
|
|
: {\n \"acc\": 0.8153117600631413,\n \"acc_stderr\": 0.01090597811215688\n\ |
|
|
\ },\n \"harness|gsm8k|5\": {\n \"acc\": 0.6125852918877938,\n \ |
|
|
\ \"acc_stderr\": 0.01341879844782737\n }\n}\n```" |
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repo_url: https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3-refined |
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leaderboard_url: https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard |
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point_of_contact: [email protected] |
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configs: |
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- config_name: harness_arc_challenge_25 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|arc:challenge|25_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|arc:challenge|25_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_gsm8k_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|gsm8k|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|gsm8k|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hellaswag_10 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hellaswag|10_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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|
path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-virology|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-college_physics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-computer_security|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-conceptual_physics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-econometrics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-electrical_engineering|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-elementary_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-formal_logic|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-global_facts|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_biology|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- '**/details_harness|hendrycksTest-high_school_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_european_history|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_geography|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_government_and_politics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_macroeconomics|5_2024-02-05T07-17-24.697764.parquet' |
|
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- '**/details_harness|hendrycksTest-high_school_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_microeconomics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_physics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_psychology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_statistics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_us_history|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-high_school_world_history|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-human_aging|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-human_sexuality|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-international_law|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-jurisprudence|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-logical_fallacies|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-machine_learning|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-management|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-marketing|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-medical_genetics|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-miscellaneous|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-moral_disputes|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-moral_scenarios|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-nutrition|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-philosophy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-prehistory|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_accounting|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_law|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T07-17-24.697764.parquet' |
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- '**/details_harness|hendrycksTest-virology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_abstract_algebra_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-abstract_algebra|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_anatomy_5 |
|
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-anatomy|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_astronomy_5 |
|
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-astronomy|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_business_ethics_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-business_ethics|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_clinical_knowledge_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-clinical_knowledge|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_college_biology_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_biology|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_college_chemistry_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_chemistry|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_college_computer_science_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_computer_science|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_college_mathematics_5 |
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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path: |
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- '**/details_harness|hendrycksTest-college_mathematics|5_2024-02-05T07-17-24.697764.parquet' |
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- config_name: harness_hendrycksTest_college_medicine_5 |
|
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data_files: |
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- split: 2024_02_05T07_17_24.697764 |
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path: |
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- '**/details_harness|hendrycksTest-college_medicine|5_2024-02-05T07-17-24.697764.parquet' |
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- split: latest |
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- config_name: harness_hendrycksTest_elementary_mathematics_5 |
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- config_name: harness_hendrycksTest_high_school_biology_5 |
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- config_name: harness_hendrycksTest_moral_scenarios_5 |
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- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_medicine|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_professional_psychology_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-professional_psychology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_public_relations_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-public_relations|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_security_studies_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-security_studies|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_sociology_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-sociology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_us_foreign_policy_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-us_foreign_policy|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_virology_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-virology|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_hendrycksTest_world_religions_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|hendrycksTest-world_religions|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_truthfulqa_mc_0 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|truthfulqa:mc|0_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: harness_winogrande_5 |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- split: latest |
|
|
path: |
|
|
- '**/details_harness|winogrande|5_2024-02-05T07-17-24.697764.parquet' |
|
|
- config_name: results |
|
|
data_files: |
|
|
- split: 2024_02_05T07_17_24.697764 |
|
|
path: |
|
|
- results_2024-02-05T07-17-24.697764.parquet |
|
|
- split: latest |
|
|
path: |
|
|
- results_2024-02-05T07-17-24.697764.parquet |
|
|
--- |
|
|
|
|
|
# Dataset Card for Evaluation run of indischepartij/OpenMia-Indo-Mistral-7b-v3-refined |
|
|
|
|
|
<!-- Provide a quick summary of the dataset. --> |
|
|
|
|
|
Dataset automatically created during the evaluation run of model [indischepartij/OpenMia-Indo-Mistral-7b-v3-refined](https://huggingface.co/indischepartij/OpenMia-Indo-Mistral-7b-v3-refined) on the [Open LLM Leaderboard](https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard). |
|
|
|
|
|
The dataset is composed of 63 configuration, each one coresponding to one of the evaluated task. |
|
|
|
|
|
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. |
|
|
|
|
|
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)). |
|
|
|
|
|
To load the details from a run, you can for instance do the following: |
|
|
```python |
|
|
from datasets import load_dataset |
|
|
data = load_dataset("open-llm-leaderboard/details_indischepartij__OpenMia-Indo-Mistral-7b-v3-refined", |
|
|
"harness_winogrande_5", |
|
|
split="train") |
|
|
``` |
|
|
|
|
|
## Latest results |
|
|
|
|
|
These are the [latest results from run 2024-02-05T07:17:24.697764](https://huggingface.co/datasets/open-llm-leaderboard/details_indischepartij__OpenMia-Indo-Mistral-7b-v3-refined/blob/main/results_2024-02-05T07-17-24.697764.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): |
|
|
|
|
|
```python |
|
|
{ |
|
|
"all": { |
|
|
"acc": 0.6291464441848997, |
|
|
"acc_stderr": 0.0325052901080867, |
|
|
"acc_norm": 0.6303599490256852, |
|
|
"acc_norm_stderr": 0.03317036353110983, |
|
|
"mc1": 0.3769889840881273, |
|
|
"mc1_stderr": 0.01696551757893035, |
|
|
"mc2": 0.5394835979252358, |
|
|
"mc2_stderr": 0.015320518165942699 |
|
|
}, |
|
|
"harness|arc:challenge|25": { |
|
|
"acc": 0.6049488054607508, |
|
|
"acc_stderr": 0.014285898292938167, |
|
|
"acc_norm": 0.64419795221843, |
|
|
"acc_norm_stderr": 0.01399057113791876 |
|
|
}, |
|
|
"harness|hellaswag|10": { |
|
|
"acc": 0.640211113324039, |
|
|
"acc_stderr": 0.004789575163418651, |
|
|
"acc_norm": 0.842162915753834, |
|
|
"acc_norm_stderr": 0.0036384306206139337 |
|
|
}, |
|
|
"harness|hendrycksTest-abstract_algebra|5": { |
|
|
"acc": 0.3, |
|
|
"acc_stderr": 0.046056618647183814, |
|
|
"acc_norm": 0.3, |
|
|
"acc_norm_stderr": 0.046056618647183814 |
|
|
}, |
|
|
"harness|hendrycksTest-anatomy|5": { |
|
|
"acc": 0.6296296296296297, |
|
|
"acc_stderr": 0.041716541613545426, |
|
|
"acc_norm": 0.6296296296296297, |
|
|
"acc_norm_stderr": 0.041716541613545426 |
|
|
}, |
|
|
"harness|hendrycksTest-astronomy|5": { |
|
|
"acc": 0.6907894736842105, |
|
|
"acc_stderr": 0.037610708698674805, |
|
|
"acc_norm": 0.6907894736842105, |
|
|
"acc_norm_stderr": 0.037610708698674805 |
|
|
}, |
|
|
"harness|hendrycksTest-business_ethics|5": { |
|
|
"acc": 0.57, |
|
|
"acc_stderr": 0.049756985195624284, |
|
|
"acc_norm": 0.57, |
|
|
"acc_norm_stderr": 0.049756985195624284 |
|
|
}, |
|
|
"harness|hendrycksTest-clinical_knowledge|5": { |
|
|
"acc": 0.7056603773584905, |
|
|
"acc_stderr": 0.02804918631569525, |
|
|
"acc_norm": 0.7056603773584905, |
|
|
"acc_norm_stderr": 0.02804918631569525 |
|
|
}, |
|
|
"harness|hendrycksTest-college_biology|5": { |
|
|
"acc": 0.7222222222222222, |
|
|
"acc_stderr": 0.037455547914624555, |
|
|
"acc_norm": 0.7222222222222222, |
|
|
"acc_norm_stderr": 0.037455547914624555 |
|
|
}, |
|
|
"harness|hendrycksTest-college_chemistry|5": { |
|
|
"acc": 0.4, |
|
|
"acc_stderr": 0.04923659639173309, |
|
|
"acc_norm": 0.4, |
|
|
"acc_norm_stderr": 0.04923659639173309 |
|
|
}, |
|
|
"harness|hendrycksTest-college_computer_science|5": { |
|
|
"acc": 0.51, |
|
|
"acc_stderr": 0.05024183937956912, |
|
|
"acc_norm": 0.51, |
|
|
"acc_norm_stderr": 0.05024183937956912 |
|
|
}, |
|
|
"harness|hendrycksTest-college_mathematics|5": { |
|
|
"acc": 0.35, |
|
|
"acc_stderr": 0.047937248544110196, |
|
|
"acc_norm": 0.35, |
|
|
"acc_norm_stderr": 0.047937248544110196 |
|
|
}, |
|
|
"harness|hendrycksTest-college_medicine|5": { |
|
|
"acc": 0.630057803468208, |
|
|
"acc_stderr": 0.0368122963339432, |
|
|
"acc_norm": 0.630057803468208, |
|
|
"acc_norm_stderr": 0.0368122963339432 |
|
|
}, |
|
|
"harness|hendrycksTest-college_physics|5": { |
|
|
"acc": 0.4215686274509804, |
|
|
"acc_stderr": 0.04913595201274498, |
|
|
"acc_norm": 0.4215686274509804, |
|
|
"acc_norm_stderr": 0.04913595201274498 |
|
|
}, |
|
|
"harness|hendrycksTest-computer_security|5": { |
|
|
"acc": 0.77, |
|
|
"acc_stderr": 0.04229525846816507, |
|
|
"acc_norm": 0.77, |
|
|
"acc_norm_stderr": 0.04229525846816507 |
|
|
}, |
|
|
"harness|hendrycksTest-conceptual_physics|5": { |
|
|
"acc": 0.5276595744680851, |
|
|
"acc_stderr": 0.03263597118409769, |
|
|
"acc_norm": 0.5276595744680851, |
|
|
"acc_norm_stderr": 0.03263597118409769 |
|
|
}, |
|
|
"harness|hendrycksTest-econometrics|5": { |
|
|
"acc": 0.4649122807017544, |
|
|
"acc_stderr": 0.046920083813689104, |
|
|
"acc_norm": 0.4649122807017544, |
|
|
"acc_norm_stderr": 0.046920083813689104 |
|
|
}, |
|
|
"harness|hendrycksTest-electrical_engineering|5": { |
|
|
"acc": 0.5310344827586206, |
|
|
"acc_stderr": 0.04158632762097828, |
|
|
"acc_norm": 0.5310344827586206, |
|
|
"acc_norm_stderr": 0.04158632762097828 |
|
|
}, |
|
|
"harness|hendrycksTest-elementary_mathematics|5": { |
|
|
"acc": 0.373015873015873, |
|
|
"acc_stderr": 0.02490699045899257, |
|
|
"acc_norm": 0.373015873015873, |
|
|
"acc_norm_stderr": 0.02490699045899257 |
|
|
}, |
|
|
"harness|hendrycksTest-formal_logic|5": { |
|
|
"acc": 0.4523809523809524, |
|
|
"acc_stderr": 0.044518079590553275, |
|
|
"acc_norm": 0.4523809523809524, |
|
|
"acc_norm_stderr": 0.044518079590553275 |
|
|
}, |
|
|
"harness|hendrycksTest-global_facts|5": { |
|
|
"acc": 0.36, |
|
|
"acc_stderr": 0.04824181513244218, |
|
|
"acc_norm": 0.36, |
|
|
"acc_norm_stderr": 0.04824181513244218 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_biology|5": { |
|
|
"acc": 0.7741935483870968, |
|
|
"acc_stderr": 0.023785577884181012, |
|
|
"acc_norm": 0.7741935483870968, |
|
|
"acc_norm_stderr": 0.023785577884181012 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_chemistry|5": { |
|
|
"acc": 0.5024630541871922, |
|
|
"acc_stderr": 0.035179450386910616, |
|
|
"acc_norm": 0.5024630541871922, |
|
|
"acc_norm_stderr": 0.035179450386910616 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_computer_science|5": { |
|
|
"acc": 0.67, |
|
|
"acc_stderr": 0.047258156262526094, |
|
|
"acc_norm": 0.67, |
|
|
"acc_norm_stderr": 0.047258156262526094 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_european_history|5": { |
|
|
"acc": 0.7575757575757576, |
|
|
"acc_stderr": 0.03346409881055953, |
|
|
"acc_norm": 0.7575757575757576, |
|
|
"acc_norm_stderr": 0.03346409881055953 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_geography|5": { |
|
|
"acc": 0.797979797979798, |
|
|
"acc_stderr": 0.02860620428922986, |
|
|
"acc_norm": 0.797979797979798, |
|
|
"acc_norm_stderr": 0.02860620428922986 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_government_and_politics|5": { |
|
|
"acc": 0.8601036269430051, |
|
|
"acc_stderr": 0.025033870583015178, |
|
|
"acc_norm": 0.8601036269430051, |
|
|
"acc_norm_stderr": 0.025033870583015178 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_macroeconomics|5": { |
|
|
"acc": 0.6487179487179487, |
|
|
"acc_stderr": 0.024203665177902803, |
|
|
"acc_norm": 0.6487179487179487, |
|
|
"acc_norm_stderr": 0.024203665177902803 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_mathematics|5": { |
|
|
"acc": 0.34444444444444444, |
|
|
"acc_stderr": 0.02897264888484427, |
|
|
"acc_norm": 0.34444444444444444, |
|
|
"acc_norm_stderr": 0.02897264888484427 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_microeconomics|5": { |
|
|
"acc": 0.6512605042016807, |
|
|
"acc_stderr": 0.03095663632856655, |
|
|
"acc_norm": 0.6512605042016807, |
|
|
"acc_norm_stderr": 0.03095663632856655 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_physics|5": { |
|
|
"acc": 0.33774834437086093, |
|
|
"acc_stderr": 0.03861557546255169, |
|
|
"acc_norm": 0.33774834437086093, |
|
|
"acc_norm_stderr": 0.03861557546255169 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_psychology|5": { |
|
|
"acc": 0.8146788990825689, |
|
|
"acc_stderr": 0.016659279700295827, |
|
|
"acc_norm": 0.8146788990825689, |
|
|
"acc_norm_stderr": 0.016659279700295827 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_statistics|5": { |
|
|
"acc": 0.49537037037037035, |
|
|
"acc_stderr": 0.03409825519163572, |
|
|
"acc_norm": 0.49537037037037035, |
|
|
"acc_norm_stderr": 0.03409825519163572 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_us_history|5": { |
|
|
"acc": 0.803921568627451, |
|
|
"acc_stderr": 0.027865942286639325, |
|
|
"acc_norm": 0.803921568627451, |
|
|
"acc_norm_stderr": 0.027865942286639325 |
|
|
}, |
|
|
"harness|hendrycksTest-high_school_world_history|5": { |
|
|
"acc": 0.7932489451476793, |
|
|
"acc_stderr": 0.0263616516683891, |
|
|
"acc_norm": 0.7932489451476793, |
|
|
"acc_norm_stderr": 0.0263616516683891 |
|
|
}, |
|
|
"harness|hendrycksTest-human_aging|5": { |
|
|
"acc": 0.7040358744394619, |
|
|
"acc_stderr": 0.030636591348699803, |
|
|
"acc_norm": 0.7040358744394619, |
|
|
"acc_norm_stderr": 0.030636591348699803 |
|
|
}, |
|
|
"harness|hendrycksTest-human_sexuality|5": { |
|
|
"acc": 0.816793893129771, |
|
|
"acc_stderr": 0.03392770926494733, |
|
|
"acc_norm": 0.816793893129771, |
|
|
"acc_norm_stderr": 0.03392770926494733 |
|
|
}, |
|
|
"harness|hendrycksTest-international_law|5": { |
|
|
"acc": 0.7272727272727273, |
|
|
"acc_stderr": 0.040655781409087044, |
|
|
"acc_norm": 0.7272727272727273, |
|
|
"acc_norm_stderr": 0.040655781409087044 |
|
|
}, |
|
|
"harness|hendrycksTest-jurisprudence|5": { |
|
|
"acc": 0.7592592592592593, |
|
|
"acc_stderr": 0.04133119440243838, |
|
|
"acc_norm": 0.7592592592592593, |
|
|
"acc_norm_stderr": 0.04133119440243838 |
|
|
}, |
|
|
"harness|hendrycksTest-logical_fallacies|5": { |
|
|
"acc": 0.7607361963190185, |
|
|
"acc_stderr": 0.033519538795212696, |
|
|
"acc_norm": 0.7607361963190185, |
|
|
"acc_norm_stderr": 0.033519538795212696 |
|
|
}, |
|
|
"harness|hendrycksTest-machine_learning|5": { |
|
|
"acc": 0.42857142857142855, |
|
|
"acc_stderr": 0.04697113923010212, |
|
|
"acc_norm": 0.42857142857142855, |
|
|
"acc_norm_stderr": 0.04697113923010212 |
|
|
}, |
|
|
"harness|hendrycksTest-management|5": { |
|
|
"acc": 0.7961165048543689, |
|
|
"acc_stderr": 0.0398913985953177, |
|
|
"acc_norm": 0.7961165048543689, |
|
|
"acc_norm_stderr": 0.0398913985953177 |
|
|
}, |
|
|
"harness|hendrycksTest-marketing|5": { |
|
|
"acc": 0.8888888888888888, |
|
|
"acc_stderr": 0.020588491316092375, |
|
|
"acc_norm": 0.8888888888888888, |
|
|
"acc_norm_stderr": 0.020588491316092375 |
|
|
}, |
|
|
"harness|hendrycksTest-medical_genetics|5": { |
|
|
"acc": 0.71, |
|
|
"acc_stderr": 0.045604802157206845, |
|
|
"acc_norm": 0.71, |
|
|
"acc_norm_stderr": 0.045604802157206845 |
|
|
}, |
|
|
"harness|hendrycksTest-miscellaneous|5": { |
|
|
"acc": 0.8160919540229885, |
|
|
"acc_stderr": 0.013853724170922533, |
|
|
"acc_norm": 0.8160919540229885, |
|
|
"acc_norm_stderr": 0.013853724170922533 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_disputes|5": { |
|
|
"acc": 0.7109826589595376, |
|
|
"acc_stderr": 0.02440517393578323, |
|
|
"acc_norm": 0.7109826589595376, |
|
|
"acc_norm_stderr": 0.02440517393578323 |
|
|
}, |
|
|
"harness|hendrycksTest-moral_scenarios|5": { |
|
|
"acc": 0.26256983240223464, |
|
|
"acc_stderr": 0.014716824273017765, |
|
|
"acc_norm": 0.26256983240223464, |
|
|
"acc_norm_stderr": 0.014716824273017765 |
|
|
}, |
|
|
"harness|hendrycksTest-nutrition|5": { |
|
|
"acc": 0.7026143790849673, |
|
|
"acc_stderr": 0.02617390850671858, |
|
|
"acc_norm": 0.7026143790849673, |
|
|
"acc_norm_stderr": 0.02617390850671858 |
|
|
}, |
|
|
"harness|hendrycksTest-philosophy|5": { |
|
|
"acc": 0.7138263665594855, |
|
|
"acc_stderr": 0.025670259242188933, |
|
|
"acc_norm": 0.7138263665594855, |
|
|
"acc_norm_stderr": 0.025670259242188933 |
|
|
}, |
|
|
"harness|hendrycksTest-prehistory|5": { |
|
|
"acc": 0.6944444444444444, |
|
|
"acc_stderr": 0.025630824975621355, |
|
|
"acc_norm": 0.6944444444444444, |
|
|
"acc_norm_stderr": 0.025630824975621355 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_accounting|5": { |
|
|
"acc": 0.46808510638297873, |
|
|
"acc_stderr": 0.029766675075873862, |
|
|
"acc_norm": 0.46808510638297873, |
|
|
"acc_norm_stderr": 0.029766675075873862 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_law|5": { |
|
|
"acc": 0.4654498044328553, |
|
|
"acc_stderr": 0.012739711554045704, |
|
|
"acc_norm": 0.4654498044328553, |
|
|
"acc_norm_stderr": 0.012739711554045704 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_medicine|5": { |
|
|
"acc": 0.6397058823529411, |
|
|
"acc_stderr": 0.029163128570670733, |
|
|
"acc_norm": 0.6397058823529411, |
|
|
"acc_norm_stderr": 0.029163128570670733 |
|
|
}, |
|
|
"harness|hendrycksTest-professional_psychology|5": { |
|
|
"acc": 0.6339869281045751, |
|
|
"acc_stderr": 0.019488025745529675, |
|
|
"acc_norm": 0.6339869281045751, |
|
|
"acc_norm_stderr": 0.019488025745529675 |
|
|
}, |
|
|
"harness|hendrycksTest-public_relations|5": { |
|
|
"acc": 0.6727272727272727, |
|
|
"acc_stderr": 0.0449429086625209, |
|
|
"acc_norm": 0.6727272727272727, |
|
|
"acc_norm_stderr": 0.0449429086625209 |
|
|
}, |
|
|
"harness|hendrycksTest-security_studies|5": { |
|
|
"acc": 0.7183673469387755, |
|
|
"acc_stderr": 0.02879518557429129, |
|
|
"acc_norm": 0.7183673469387755, |
|
|
"acc_norm_stderr": 0.02879518557429129 |
|
|
}, |
|
|
"harness|hendrycksTest-sociology|5": { |
|
|
"acc": 0.8308457711442786, |
|
|
"acc_stderr": 0.026508590656233268, |
|
|
"acc_norm": 0.8308457711442786, |
|
|
"acc_norm_stderr": 0.026508590656233268 |
|
|
}, |
|
|
"harness|hendrycksTest-us_foreign_policy|5": { |
|
|
"acc": 0.81, |
|
|
"acc_stderr": 0.03942772444036625, |
|
|
"acc_norm": 0.81, |
|
|
"acc_norm_stderr": 0.03942772444036625 |
|
|
}, |
|
|
"harness|hendrycksTest-virology|5": { |
|
|
"acc": 0.5, |
|
|
"acc_stderr": 0.03892494720807614, |
|
|
"acc_norm": 0.5, |
|
|
"acc_norm_stderr": 0.03892494720807614 |
|
|
}, |
|
|
"harness|hendrycksTest-world_religions|5": { |
|
|
"acc": 0.8128654970760234, |
|
|
"acc_stderr": 0.029913127232368043, |
|
|
"acc_norm": 0.8128654970760234, |
|
|
"acc_norm_stderr": 0.029913127232368043 |
|
|
}, |
|
|
"harness|truthfulqa:mc|0": { |
|
|
"mc1": 0.3769889840881273, |
|
|
"mc1_stderr": 0.01696551757893035, |
|
|
"mc2": 0.5394835979252358, |
|
|
"mc2_stderr": 0.015320518165942699 |
|
|
}, |
|
|
"harness|winogrande|5": { |
|
|
"acc": 0.8153117600631413, |
|
|
"acc_stderr": 0.01090597811215688 |
|
|
}, |
|
|
"harness|gsm8k|5": { |
|
|
"acc": 0.6125852918877938, |
|
|
"acc_stderr": 0.01341879844782737 |
|
|
} |
|
|
} |
|
|
``` |
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## Dataset Details |
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### Dataset Description |
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<!-- Provide a longer summary of what this dataset is. --> |
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- **Curated by:** [More Information Needed] |
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- **Funded by [optional]:** [More Information Needed] |
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- **Shared by [optional]:** [More Information Needed] |
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- **Language(s) (NLP):** [More Information Needed] |
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- **License:** [More Information Needed] |
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### Dataset Sources [optional] |
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- **Repository:** [More Information Needed] |
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- **Paper [optional]:** [More Information Needed] |
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- **Demo [optional]:** [More Information Needed] |
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## Uses |
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<!-- Address questions around how the dataset is intended to be used. --> |
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### Direct Use |
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<!-- This section describes suitable use cases for the dataset. --> |
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[More Information Needed] |
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### Out-of-Scope Use |
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<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. --> |
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[More Information Needed] |
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## Dataset Structure |
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<!-- 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. --> |
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[More Information Needed] |
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## Dataset Creation |
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### Curation Rationale |
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<!-- Motivation for the creation of this dataset. --> |
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[More Information Needed] |
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### Source Data |
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<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). --> |
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#### Data Collection and Processing |
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<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. --> |
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[More Information Needed] |
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#### Who are the source data producers? |
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<!-- 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. --> |
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[More Information Needed] |
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### Annotations [optional] |
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<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. --> |
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#### Annotation process |
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<!-- 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. --> |
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[More Information Needed] |
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#### Who are the annotators? |
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<!-- This section describes the people or systems who created the annotations. --> |
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[More Information Needed] |
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#### Personal and Sensitive Information |
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<!-- 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. --> |
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[More Information Needed] |
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## Bias, Risks, and Limitations |
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<!-- This section is meant to convey both technical and sociotechnical limitations. --> |
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[More Information Needed] |
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### Recommendations |
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<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. --> |
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Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations. |
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## Citation [optional] |
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<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. --> |
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**BibTeX:** |
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[More Information Needed] |
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**APA:** |
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[More Information Needed] |
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## Glossary [optional] |
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<!-- If relevant, include terms and calculations in this section that can help readers understand the dataset or dataset card. --> |
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[More Information Needed] |
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## More Information [optional] |
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[More Information Needed] |
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## Dataset Card Authors [optional] |
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[More Information Needed] |
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## Dataset Card Contact |
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[More Information Needed] |
